66 changed files with 0 additions and 7755 deletions
--- a/.gitignore
+++ b/.gitignore
@ -1,33 +0,0 @@
-# secrets
-.env
-.env.local
-.jwt-secret
-credentials*.json
-secrets.json
-*.pem
-*.key
-id_rsa*
-id_ed25519*
-
-# build artifacts
-node_modules/
-.venv/
-venv/
-__pycache__/
-*.pyc
-.next/
-dist/
-build/
-out/
-target/
-
-# data
-*.sqlite*
-*.db
-*.log
-
-# OS / IDE
-.DS_Store
-.claude/
-.vscode/
-.idea/
--- a/GITEA.md
+++ b/GITEA.md
@ -1 +0,0 @@
-/Users/telecom/Dev/_hack22may/GITEA.md
--- a/PRD.md
+++ b/PRD.md
@ -1,465 +0,0 @@
-# PRD — ExecutiveOS AI
-# AI Executive Mail & Workflow Copilot
-
-Version: 1.0
-Date: 2026-05-22
-
---
-
-# 1. Product Overview
-
-ExecutiveOS AI is an AI-native executive assistant platform designed for:
- executives;
- board members;
- senior management;
- strategy teams;
- finance leaders.
-
-The system integrates with:
- Lotus Notes / HCL Notes;
- corporate email;
- calendars;
- approval workflows;
- board processes.
-
-The platform automatically:
- reads incoming emails;
- prioritizes communications;
- summarizes threads;
- identifies required actions;
- recommends decisions;
- tracks pending approvals;
- reminds users about critical items.
-
-The product acts as:
-> “AI Chief of Staff for executives.”
-
---
-
-# 2. Problem Statement
-
-Senior executives face:
- excessive email volume;
- overloaded workflows;
- delayed approvals;
- missed critical items;
- unread board materials;
- fragmented communication.
-
-Current workflow is:
- manual;
- inefficient;
- reactive;
- difficult to prioritize.
-
-Executives spend significant time:
- reading emails;
- searching for context;
- following up;
- remembering pending approvals.
-
---
-
-# 3. Product Vision
-
-Create:
-> “An AI operating system for executive decision-making and workflow management.”
-
-The platform should become:
- the main executive dashboard;
- approval control center;
- AI productivity layer;
- intelligent workflow assistant.
-
---
-
-# 4. Product Goals
-
-## G1 — Inbox Intelligence
-AI automatically:
- reads emails;
- detects urgency;
- identifies actions;
- prioritizes messages.
-
---
-
-## G2 — Decision Assistance
-AI recommends:
- approve;
- reject;
- sign;
- vote;
- review;
- delegate.
-
---
-
-## G3 — Executive Productivity
-Reduce:
- email reading time;
- missed approvals;
- delayed responses;
- operational overload.
-
---
-
-## G4 — Action Monitoring
-Track:
- pending approvals;
- unresolved tasks;
- unread critical emails;
- SLA breaches.
-
---
-
-# 5. Core Features
-
-# 5.1 AI Smart Inbox
-
-## Features
- automatic prioritization;
- executive summaries;
- urgent item detection;
- duplicate filtering;
- AI importance scoring.
-
---
-
-## Example
-AI highlights:
-> “Chairman approval request pending for 2 days.”
-
---
-
-# 5.2 AI Recommendations
-
-For each item AI suggests:
- approve;
- reject;
- review;
- sign;
- escalate;
- delegate.
-
---
-
-## Example
-> “Low operational risk. Recommended action: Approve.”
-
---
-
-# 5.3 Executive Daily Briefing
-
-Every morning AI generates:
- top priorities;
- urgent issues;
- pending approvals;
- board matters;
- key deadlines.
-
---
-
-# 5.4 Reminder Engine
-
-AI reminds:
- unread important emails;
- delayed approvals;
- overdue responses;
- unresolved escalations.
-
---
-
-# 5.5 AI Summarization
-
-AI summarizes:
- long email chains;
- attachments;
- board materials;
- presentations;
- PDFs.
-
---
-
-# 5.6 Workflow Tracking
-
-Tracks:
- approval chains;
- document status;
- response timelines;
- delegated tasks.
-
---
-
-# 5.7 AI Search
-
-User can ask:
- “What approvals are pending?”
- “Find all emails about budget revision.”
- “What requires signature today?”
- “Summarize unread board materials.”
-
---
-
-# 6. User Personas
-
-## Executive
-Needs:
- prioritization;
- decision support;
- reminders.
-
---
-
-## Board Member
-Needs:
- concise summaries;
- voting recommendations;
- board tracking.
-
---
-
-## Chief of Staff
-Needs:
- workflow visibility;
- escalation monitoring;
- coordination tools.
-
---
-
-# 7. Main User Flows
-
-# UF1 — Email Processing
-
-1. Email arrives
-2. AI analyzes content
-3. AI assigns priority
-4. AI detects action required
-5. AI generates recommendation
-6. Dashboard updates
-7. Reminder logic activated
-
---
-
-# UF2 — Approval Workflow
-
-1. Approval request received
-2. AI analyzes:
-   - sender;
-   - content;
-   - risk;
-   - deadline.
-3. AI suggests:
-   - approve;
-   - review;
-   - escalate.
-4. User acts
-5. Workflow updated
-
---
-
-# UF3 — Executive Briefing
-
-1. AI collects:
-   - unread emails;
-   - escalations;
-   - approvals;
-   - meetings.
-2. AI generates summary
-3. Briefing delivered
-
---
-
-# 8. Functional Requirements
-
-| ID | Requirement | Priority |
-|---|---|---|
-| FR-1 | Lotus integration | High |
-| FR-2 | Email ingestion | High |
-| FR-3 | AI summarization | High |
-| FR-4 | AI recommendations | High |
-| FR-5 | Smart reminders | High |
-| FR-6 | Workflow tracking | High |
-| FR-7 | Semantic search | Medium |
-| FR-8 | Mobile notifications | Medium |
-| FR-9 | Telegram integration | Medium |
-| FR-10 | AI daily briefings | High |
-
---
-
-# 9. AI Features
-
-# 9.1 AI Priority Scoring
-
-AI determines:
- urgency;
- strategic importance;
- sender hierarchy;
- deadline sensitivity.
-
---
-
-# 9.2 AI Recommendation Engine
-
-AI evaluates:
- operational risk;
- historical patterns;
- workflow context;
- required approvals.
-
---
-
-# 9.3 AI Summaries
-
-Outputs:
- short summary;
- executive summary;
- action summary;
- risk summary.
-
---
-
-# 9.4 AI Risk Detection
-
-AI flags:
- delayed approvals;
- unanswered critical emails;
- escalation risks;
- operational bottlenecks.
-
---
-
-# 10. Integrations
-
-## Email Systems
- HCL Notes / Lotus Notes
- Outlook
- Exchange
- Gmail
-
---
-
-## Collaboration
- Teams
- Slack
- Telegram
-
---
-
-## Authentication
- LDAP
- Active Directory
- SSO
-
---
-
-# 11. Dashboard Requirements
-
-## Main Widgets
-
-### Priority Inbox
-Critical emails first.
-
---
-
-### AI Recommendations
-Approve / Review / Sign.
-
---
-
-### Pending Approvals
-Shows overdue items.
-
---
-
-### Executive Briefing
-Morning summary.
-
---
-
-### Escalation Monitor
-Tracks unresolved issues.
-
---
-
-# 12. Security Requirements
-
-## Security Standards
- AES-256 encryption;
- TLS 1.3;
- MFA;
- audit logs.
-
---
-
-## Access Controls
- role-based access;
- least privilege model;
- approval tracking.
-
---
-
-# 13. Performance Requirements
-
-| Metric | Target |
-|---|---|
-| Email classification | <5 sec |
-| AI recommendation | <10 sec |
-| Dashboard load | <2 sec |
-| Search response | <2 sec |
-
---
-
-# 14. Deployment
-
-## Options
- on-premise;
- hybrid cloud;
- private cloud.
-
---
-
-# 15. MVP Scope
-
-## MVP Includes
- Lotus integration;
- email ingestion;
- AI summaries;
- AI recommendations;
- reminders;
- dashboard;
- Telegram alerts.
-
---
-
-# 16. Success Metrics
-
-| KPI | Target |
-|---|---|
-| Email processing reduction | >60% |
-| Reminder effectiveness | >80% |
-| AI recommendation acceptance | >70% |
-| Missed approvals reduction | >50% |
-
---
-
-# 17. Future Roadmap
-
-## Phase 2
- AI meeting assistant;
- voice summaries;
- auto-replies.
-
---
-
-## Phase 3
- autonomous workflow handling;
- AI board secretary;
- AI negotiation assistant.
-
---
-
-## Phase 4
- enterprise executive operating system;
- AI chief of staff;
- organization-wide intelligence graph.
--- a/README.korabayev.md
+++ b/README.korabayev.md
@ -1,26 +0,0 @@
-# korabayev
-
-Привет, korabayev!
-
-Это твоя личная папка в среде telecom.quest.
- VS Code в браузере: https://code.telecom.quest/?folder=/Users/telecom/dev/_hack22may/korabayev/
- Бэкап на Gitea: https://git.telecom.quest/kt-innovators/korabayev
-
-## Action Plan (как пользоваться)
-
-В этой папке уже лежат три стартовых файла:
- `PRD.md` — здесь ты простыми словами описываешь, что хочешь автоматизировать
- `GITEA.md` — справочник по системе Gitea (для Claude, не для тебя)
- `TRD.md` — пустой; Claude заполнит его после того, как ты напишешь PRD
-
-**Шаг 1.** Открой `PRD.md` и напиши свою идею.
-**Шаг 2.** Открой Claude (Desktop или web). Дай ему `PRD.md` + `GITEA.md` и попроси: «Сделай TRD.md на основе PRD и GITEA».
-**Шаг 3.** Сохрани результат в `TRD.md`.
-**Шаг 4.** Запусти Claude Code в этой папке. Скажи: «Реализуй TRD.md». Получишь рабочий MVP.
-
-## Как сохранять работу
-
-В VS Code открой панель "Source Control" (слева), напиши краткое описание, нажми галочку → "Commit and Push".
-Изменения сохранятся в Gitea и будут доступны при следующем входе.
-
-В этой папке уже инициализирован git и подключен remote `origin` → Gitea.
--- a/README.md
+++ b/README.md
@ -1,158 +0,0 @@
-# Atlas AI Wealth — MVP
-
-AI-native wealth intelligence platform implementing [TRD.md](TRD.md) vertical slice:
-**Excel upload → parse → classify → portfolio analytics → dashboard**.
-
-> Original onboarding doc: [README.korabayev.md](README.korabayev.md)
-
---
-
-## Stack
-
-| Layer       | Tech                                                    |
-| ----------- | ------------------------------------------------------- |
-| Backend     | Python 3.12, FastAPI, SQLAlchemy 2, SQLite (dev)        |
-| Parser      | pandas, openpyxl — multi-sheet XLSX/CSV, fuzzy headers  |
-| Analytics   | Modified Dietz TWR, Newton IRR, moving-avg cost, allocation |
-| AI Copilot  | Rule-based templated insights (LLM plug-in stub)        |
-| Frontend    | Next.js 14, React 18, TypeScript, Tailwind, SWR         |
-
---
-
-## TRD Coverage
-
-| TRD §  | Component                              | Status                              |
-| ------ | -------------------------------------- | ----------------------------------- |
-| §3     | Frontend (Next/TS/Tailwind)            | Dashboard, Portfolio, Tx, CashFlow, Upload |
-| §4     | FastAPI REST + OpenAPI + JWT auth      | REST + OpenAPI ✓, auth = stub user  |
-| §5     | PostgreSQL / Redis                     | SQLite (swap via `DATABASE_URL`)    |
-| §6     | Core data models                       | User, Account, Transaction, Position ✓ |
-| §7     | File processing (XLSX/CSV/PDF)         | XLSX + CSV ✓, PDF deferred          |
-| §8     | Classification (rule + AI)             | Rule layer ✓, AI layer = stub       |
-| §9     | Portfolio analytics                    | TWR, IRR, PnL, allocation ✓         |
-| §10    | Market data (Yahoo/Polygon/…)          | Stub prices (wire `yfinance` later) |
-| §11    | Forecasting (ARIMA/XGB/LSTM)           | Deferred                            |
-| §12    | AI Copilot (OpenAI/Anthropic + RAG)    | Rule-based stub answers ✓           |
-| §13–18 | Security/Infra/DevOps/Tests            | Phase 2                             |
-
---
-
-## Run It
-
-### 1. Backend
-
-```bash
-cd backend
-/opt/homebrew/bin/python3.12 -m venv .venv
-.venv/bin/pip install -r requirements.txt
-
-# Generate a sample broker statement (optional)
-.venv/bin/python -m scripts.generate_sample
-
-# Start API
-.venv/bin/uvicorn app.main:app --reload --port 8000
-```
-
-API: `http://localhost:8000` · OpenAPI docs: `http://localhost:8000/docs`
-
-### 2. Frontend
-
-```bash
-cd frontend
-npm install
-cp .env.example .env.local   # adjust NEXT_PUBLIC_API_BASE if needed
-npm run dev
-```
-
-App: `http://localhost:3000`
-
-### 3. End-to-End Demo
-
-1. Open `http://localhost:3000/upload`.
-2. Upload `backend/sample_broker_statement.xlsx`.
-3. Visit Dashboard → Portfolio → Cash Flow → Transactions.
-4. Ask AI Copilot from the Dashboard: *"what is my performance?"*, *"how much did I spend?"*, *"what is my concentration risk?"*
-
---
-
-## API Endpoints
-
-```
-GET  /health
-POST /upload                            multipart/form-data file=<xlsx|csv>
-GET  /accounts
-GET  /transactions?transaction_type=...&asset=...&q=...
-GET  /portfolio/metrics
-GET  /cashflow/summary?year=2026
-GET  /cashflow/spending?year=2026
-GET  /cashflow/dividends?year=2026
-GET  /dashboard
-POST /copilot/ask                       { "question": "..." }
-```
-
---
-
-## Repository Layout
-
-```
-backend/
-  app/
-    main.py              FastAPI app + CORS + router registration
-    config.py            Pydantic settings (env-driven)
-    db.py                SQLAlchemy engine/session
-    models.py            User, Account, Transaction, Position
-    schemas.py           Pydantic response models
-    parser.py            XLSX/CSV multi-sheet broker parser
-    classifier.py        Rule-based tx type + spending category
-    analytics.py         TWR (Mod. Dietz), IRR, PnL, allocation, cashflow
-    market_data.py       Price stub (fallback dict)
-    services.py          Parser+classifier+persistence orchestration
-    deps.py              FastAPI deps (current_user stub)
-    routes/
-      upload.py
-      accounts.py
-      transactions.py
-      portfolio.py
-      cashflow.py
-      dashboard.py
-      copilot.py
-  scripts/
-    generate_sample.py   Produces sample_broker_statement.xlsx
-  requirements.txt
-  .env.example
-frontend/
-  app/                   Next.js App Router pages
-    page.tsx                  Dashboard
-    portfolio/page.tsx
-    transactions/page.tsx
-    cashflow/page.tsx
-    upload/page.tsx
-    layout.tsx
-    globals.css
-  components/
-    Nav.tsx
-    Copilot.tsx
-    AllocationBar.tsx
-  lib/
-    api.ts               fetcher + formatters
-    types.ts             API response types
-  package.json
-  tailwind.config.js
-  tsconfig.json
-  next.config.js
-PRD.md
-TRD.md
-README.md                (this file)
-```
-
---
-
-## What's Stubbed (Phase 2+)
-
- **Auth**: single demo user. JWT/OAuth2/MFA → TRD §13.
- **Market data**: in-memory fallback prices. Wire `yfinance` or Polygon in `market_data.py`.
- **AI Copilot LLM**: templated insights. Replace `routes/copilot.py:ask` with OpenAI/Anthropic + RAG (TRD §12).
- **PDF parsing**: only XLSX/CSV today.
- **Forecasting engine**: TRD §11 not implemented.
- **Postgres**: SQLite in dev. Set `DATABASE_URL=postgresql://...` to switch.
- **Redis/Celery/S3/CloudFront**: TRD §14 infra deferred.
--- a/TRD.md
+++ b/TRD.md
@ -1,351 +0,0 @@
-# TRD — AI Executive Mail & Workflow Copilot
-# Codename: ExecutiveOS AI
-
-Version: 1.0
-Date: 2026-05-22
-
---
-
-# 1. Technical Overview
-
-ExecutiveOS AI is an AI-native executive workflow assistant designed for senior management and board-level users.
-
-The platform integrates with:
- Lotus Notes / HCL Notes;
- corporate email;
- calendar systems;
- board workflows;
- approval processes.
-
-The system automatically:
- reads incoming emails;
- prioritizes important items;
- summarizes long threads;
- classifies requests;
- recommends actions;
- reminds the user about pending approvals;
- monitors deadlines;
- generates executive summaries.
-
-The product acts as:
-“AI Chief of Staff for executives.”
-
---
-
-# 2. Business Problem
-
-Executives receive:
- hundreds of emails;
- approval requests;
- meeting invitations;
- board materials;
- operational escalations.
-
-Critical problems:
- overload;
- missed approvals;
- unread emails;
- delayed responses;
- lack of prioritization;
- excessive manual review.
-
---
-
-# 3. Product Goals
-
-## G1 — Inbox Intelligence
-AI must automatically:
- read emails;
- classify importance;
- summarize content;
- detect urgency;
- identify required action.
-
-## G2 — Executive Decision Support
-AI recommends:
- approve;
- reject;
- review;
- sign;
- escalate;
- delegate;
- vote.
-
-## G3 — Action Tracking
-The system tracks:
- pending approvals;
- unanswered emails;
- unread critical messages;
- deadlines;
- overdue actions.
-
-## G4 — Executive Productivity
-Reduce:
- email processing time;
- approval delays;
- missed tasks;
- cognitive overload.
-
---
-
-# 4. Core Use Cases
-
-## UC1 — AI Inbox Processing
-AI automatically shows:
- top priorities;
- urgent emails;
- pending approvals;
- required actions.
-
-## UC2 — AI Recommendation Engine
-For each email AI suggests:
- approve;
- sign;
- vote;
- review;
- delegate;
- ignore.
-
-## UC3 — Executive Summary
-AI generates:
- daily digest;
- morning briefing;
- operational summary.
-
-## UC4 — Smart Reminders
-AI reminds user:
- unread critical emails;
- pending approvals;
- unresolved escalations.
-
---
-
-# 5. System Architecture
-
-## Main Components
-
-1. Lotus Integration Service
-2. Email Ingestion Engine
-3. AI Classification Engine
-4. AI Recommendation Engine
-5. Workflow Tracking Engine
-6. Reminder Service
-7. Notification Engine
-8. Executive Dashboard
-9. Search & Knowledge Engine
-10. Security Layer
-
---
-
-# 6. Lotus / Email Integration
-
-## Supported Systems
- HCL Notes / Lotus Notes
- Microsoft Exchange
- Outlook
- Gmail
- IMAP/SMTP
-
-## Integration Methods
- IMAP
- Exchange APIs
- Microsoft Graph
- Domino APIs
- NSF parsing
-
---
-
-# 7. Email Ingestion Pipeline
-
-1. Fetch emails
-2. Parse metadata
-3. Extract attachments
-4. Detect language
-5. AI classification
-6. Priority scoring
-7. Action recommendation
-8. Store indexed data
-
---
-
-# 8. AI Classification Engine
-
-## Categories
-
-| Category | Examples |
-|---|---|
-| Approval | Sign/approve requests |
-| Board | Board materials |
-| Escalation | Critical incidents |
-| Financial | Budget/finance |
-| Legal | Contracts |
-| HR | Staffing |
-| Informational | FYI |
-| Urgent | Immediate action |
-
---
-
-# 9. AI Recommendation Engine
-
-| Recommendation | Description |
-|---|---|
-| Approve | Safe to approve |
-| Review | Needs review |
-| Reject | Potential issue |
-| Sign | Requires signature |
-| Vote | Requires board vote |
-| Delegate | Forward to subordinate |
-| Ignore | Low relevance |
-
---
-
-# 10. Executive Dashboard
-
-## Widgets
- Priority Inbox
- AI Recommendations
- Pending Tasks
- Daily Briefing
- Escalation Monitor
- Approval Tracker
-
---
-
-# 11. Reminder Engine
-
-## Reminder Examples
- “Board approval pending for 3 days.”
- “Unread email from Chairman.”
- “Contract awaiting signature.”
-
-## Reminder Channels
- desktop notifications;
- Telegram;
- email;
- Teams/Slack.
-
---
-
-# 12. AI Summarization Engine
-
-## Outputs
- email summary;
- thread summary;
- attachment summary.
-
-## Example
-“Finance department requests approval for revised CAPEX allocation.”
-
---
-
-# 13. Knowledge Search Engine
-
-## Features
- semantic email search;
- attachment search;
- board decision retrieval;
- historical approvals.
-
---
-
-# 14. AI Copilot
-
-## Example Questions
- “What requires my approval today?”
- “Summarize unread emails.”
- “Which items are overdue?”
- “What should I prioritize?”
-
---
-
-# 15. Security Requirements
-
-## Authentication
- SSO
- LDAP
- Active Directory
- MFA
-
-## Encryption
- AES-256
- TLS 1.3
-
-## Compliance
- audit logs;
- role-based access;
- zero-trust principles.
-
---
-
-# 16. Infrastructure
-
-## Deployment
- On-premise
- Hybrid cloud
-
-## Stack
- Kubernetes
- Docker
- PostgreSQL
- Redis
- Elasticsearch
-
---
-
-# 17. AI Architecture
-
-## LLM Providers
- OpenAI
- Azure OpenAI
- Anthropic
- local LLMs
-
-## RAG Pipeline
-1. Retrieve email context
-2. Retrieve workflow context
-3. Build prompt
-4. Generate recommendation
-5. Return explanation
-
---
-
-# 18. Notification Engine
-
-## Channels
- Telegram bot;
- Microsoft Teams;
- Slack;
- mobile app;
- desktop alerts.
-
---
-
-# 19. Monitoring
-
-## Stack
- Prometheus
- Grafana
- Sentry
-
-## Metrics
- unread emails;
- SLA violations;
- AI accuracy;
- reminder efficiency.
-
---
-
-# 20. Future Roadmap
-
-## Phase 2
- voice assistant;
- AI meeting summaries;
- auto-replies.
-
-## Phase 3
- autonomous workflow handling;
- AI board secretary.
-
-## Phase 4
- enterprise executive operating system;
- AI chief of staff.
--- a/atlas-vanilla/app.js
+++ b/atlas-vanilla/app.js
@ -1,505 +0,0 @@
-// Atlas AI Wealth — vanilla JS SPA
-// No build, no deps. Loads window.MOCK_DATA from data.js.
-
-(function () {
-  "use strict";
-
-  // ---------- State ----------
-  const STORAGE_KEY = "atlas_loaded";
-  let DATA = null;
-  let currentRoute = "dashboard";
-
-  function isLoaded() {
-    return localStorage.getItem(STORAGE_KEY) === "1";
-  }
-  function loadData() {
-    DATA = window.MOCK_DATA;
-    localStorage.setItem(STORAGE_KEY, "1");
-  }
-  function resetData() {
-    DATA = null;
-    localStorage.removeItem(STORAGE_KEY);
-  }
-
-  if (isLoaded()) DATA = window.MOCK_DATA;
-
-  // ---------- Formatters ----------
-  const fmtMoney = (n, ccy = "USD") =>
-    n == null
-      ? "—"
-      : new Intl.NumberFormat("en-US", {
-          style: "currency",
-          currency: ccy,
-          maximumFractionDigits: 2
-        }).format(n);
-
-  const fmtPct = (n, digits = 2) =>
-    n == null ? "—" : (n * 100).toFixed(digits) + "%";
-
-  const fmtNum = (n, digits = 2) =>
-    n == null
-      ? "—"
-      : Number(n).toLocaleString("en-US", { maximumFractionDigits: digits });
-
-  const signClass = (n) =>
-    n == null ? "" : n > 0 ? "accent" : n < 0 ? "danger" : "";
-
-  // ---------- Mount template ----------
-  function mount(routeName) {
-    const tpl = document.getElementById("tpl-" + routeName);
-    const view = document.getElementById("view");
-    view.innerHTML = "";
-    if (!tpl) return;
-    view.appendChild(tpl.content.cloneNode(true));
-  }
-
-  // ---------- Empty state ----------
-  function renderEmpty() {
-    const view = document.getElementById("view");
-    view.innerHTML = `
-      <section>
-        <div class="card stack">
-          <div class="kpi-label">Нет данных</div>
-          <p class="muted">
-            Открой <strong>Upload</strong> и нажми «Load sample data» —
-            появится демо-портфель (Interactive Brokers, 27 транзакций 2024–2026).
-          </p>
-          <div class="row gap">
-            <button class="btn-primary" id="empty-load">Загрузить sample data</button>
-            <button class="btn-ghost" id="empty-upload">Open Upload</button>
-          </div>
-        </div>
-      </section>
-    `;
-    document.getElementById("empty-load").onclick = () => {
-      loadData();
-      navigate(currentRoute);
-    };
-    document.getElementById("empty-upload").onclick = () => navigate("upload");
-  }
-
-  // ---------- Dashboard ----------
-  function renderDashboard() {
-    mount("dashboard");
-    if (!DATA) return renderEmpty();
-    const a = DATA.analytics;
-
-    const txns = DATA.transactions;
-    const year = 2026;
-    const spendYtd = txns.filter(t => t.type === "SPENDING" && t.date.startsWith(String(year)))
-      .reduce((s, t) => s + Math.abs(t.amount), 0);
-    const passiveYtd = txns.filter(t =>
-      (t.type === "DIVIDEND" || t.type === "COUPON") && t.date.startsWith(String(year))
-    ).reduce((s, t) => s + Math.abs(t.amount), 0);
-    const spendMtd = txns.filter(t => t.type === "SPENDING" && t.date.startsWith("2026-05"))
-      .reduce((s, t) => s + Math.abs(t.amount), 0);
-
-    setKpi("netWorth", fmtMoney(a.net_worth));
-    setKpi("portfolioValue", fmtMoney(a.total_market_value));
-    setKpi("cash", fmtMoney(a.cash_balance));
-    setKpi("ytd", fmtPct(a.twr_ytd), signClass(a.twr_ytd));
-    setKpi("spendMtd", fmtMoney(spendMtd));
-    setKpi("spendYtd", fmtMoney(spendYtd));
-    setKpi("passive", fmtMoney(passiveYtd));
-
-    const tbody = document.getElementById("top-positions");
-    a.positions.slice(0, 5).forEach((p) => {
-      tbody.insertAdjacentHTML("beforeend", `
-        <tr>
-          <td class="asset">${p.asset}</td>
-          <td class="r">${fmtNum(p.qty)}</td>
-          <td class="r">${fmtMoney(p.avg_cost)}</td>
-          <td class="r">${fmtMoney(p.market_price)}</td>
-          <td class="r">${fmtMoney(p.market_value)}</td>
-          <td class="r ${signClass(p.unrealized_pnl)}">
-            ${fmtMoney(p.unrealized_pnl)} (${fmtPct(p.pnl_pct, 1)})
-          </td>
-        </tr>
-      `);
-    });
-
-    initCopilot();
-  }
-
-  function setKpi(key, value, extraClass = "") {
-    const el = document.querySelector(`[data-k="${key}"]`);
-    if (!el) return;
-    el.textContent = value;
-    if (extraClass) el.classList.add(extraClass);
-  }
-
-  // ---------- Copilot ----------
-  const COPILOT_SUGGESTIONS = [
-    "Какая у меня доходность?",
-    "Сколько я потратил за год?",
-    "Какой пассивный доход?",
-    "Где концентрационный риск?"
-  ];
-
-  function initCopilot() {
-    const sug = document.getElementById("copilot-suggest");
-    COPILOT_SUGGESTIONS.forEach((q) => {
-      const b = document.createElement("button");
-      b.className = "chip";
-      b.textContent = q;
-      b.onclick = () => askCopilot(q);
-      sug.appendChild(b);
-    });
-    document.getElementById("copilot-ask").onclick = () => {
-      const v = document.getElementById("copilot-input").value.trim();
-      if (v) askCopilot(v);
-    };
-    document.getElementById("copilot-input").addEventListener("keydown", (e) => {
-      if (e.key === "Enter") document.getElementById("copilot-ask").click();
-    });
-  }
-
-  function askCopilot(question) {
-    const a = DATA.analytics;
-    const q = question.toLowerCase();
-    const txns = DATA.transactions;
-    const year = 2026;
-
-    const spendYtd = txns.filter(t => t.type === "SPENDING" && t.date.startsWith(String(year)))
-      .reduce((s, t) => s + Math.abs(t.amount), 0);
-    const passiveYtd = txns.filter(t =>
-      (t.type === "DIVIDEND" || t.type === "COUPON") && t.date.startsWith(String(year))
-    ).reduce((s, t) => s + Math.abs(t.amount), 0);
-
-    const spendByCat = {};
-    txns.filter(t => t.type === "SPENDING").forEach(t => {
-      const k = t.category || "other";
-      spendByCat[k] = (spendByCat[k] || 0) + Math.abs(t.amount);
-    });
-
-    const totalMv = a.total_market_value;
-    const allocations = a.positions.map(p => ({ asset: p.asset, share: p.market_value / totalMv }));
-    const topConc = allocations.sort((x, y) => y.share - x.share)[0];
-
-    const parts = [];
-    const matchPerf = /доходн|перформ|perform|return|итог/i.test(q);
-    const matchSpend = /потрат|расход|spend|expense|трат/i.test(q);
-    const matchPassive = /пассив|дивиден|купон|passive|divid|coupon/i.test(q);
-    const matchRisk = /риск|концентр|risk|concentr|volat|шарп|drawdown|просад/i.test(q);
-
-    if (matchPerf) {
-      parts.push(
-        `📈 Доходность: TWR YTD ${fmtPct(a.twr_ytd)}, с начала ${fmtPct(a.twr_inception)}, IRR ${fmtPct(a.irr_inception)}. ` +
-        `Нереализованная прибыль ${fmtMoney(a.unrealized_pnl)} (${fmtPct(a.unrealized_pnl_pct)}). ` +
-        `Реализованная прибыль ${fmtMoney(a.realized_pnl)}.`
-      );
-    }
-    if (matchSpend) {
-      const top = Object.entries(spendByCat).sort((x, y) => y[1] - x[1])[0];
-      parts.push(
-        `💳 Расходы YTD ${year}: ${fmtMoney(spendYtd)}. ` +
-        `Топ-категория: ${top[0]} (${fmtMoney(top[1])}).`
-      );
-    }
-    if (matchPassive) {
-      const coverage = spendYtd > 0 ? passiveYtd / spendYtd : 0;
-      parts.push(
-        `💰 Пассивный доход YTD: ${fmtMoney(passiveYtd)} (дивиденды + купоны). ` +
-        `Покрывает ${(coverage * 100).toFixed(1)}% расходов.`
-      );
-    }
-    if (matchRisk) {
-      parts.push(
-        `⚠️ Риск: топ-позиция ${topConc.asset} = ${(topConc.share * 100).toFixed(1)}% портфеля. ` +
-        `Волатильность ${fmtPct(a.volatility)}, Sharpe ${a.sharpe.toFixed(2)}, max drawdown ${fmtPct(a.max_drawdown)}.`
-      );
-    }
-    if (parts.length === 0) {
-      parts.push(
-        `🧭 Net worth ${fmtMoney(a.net_worth)}. Портфель ${fmtMoney(a.total_market_value)}, ` +
-        `кэш ${fmtMoney(a.cash_balance)}. TWR YTD ${fmtPct(a.twr_ytd)}.`
-      );
-      parts.push(`Попробуй: «доходность», «расходы», «пассивный доход», «риски».`);
-    }
-
-    const out = document.getElementById("copilot-answer");
-    out.textContent = parts.join("\n\n");
-    out.classList.add("show");
-  }
-
-  // ---------- Portfolio ----------
-  function renderPortfolio() {
-    mount("portfolio");
-    if (!DATA) return renderEmpty();
-    const a = DATA.analytics;
-
-    setKpi("mv", fmtMoney(a.total_market_value));
-    setKpi("cost", fmtMoney(a.total_cost_basis));
-    setKpi("upnl", `${fmtMoney(a.unrealized_pnl)} (${fmtPct(a.unrealized_pnl_pct)})`, signClass(a.unrealized_pnl));
-    setKpi("rpnl", fmtMoney(a.realized_pnl), signClass(a.realized_pnl));
-    setKpi("twrYtd", fmtPct(a.twr_ytd), signClass(a.twr_ytd));
-    setKpi("twr", fmtPct(a.twr_inception), signClass(a.twr_inception));
-    setKpi("irr", fmtPct(a.irr_inception), signClass(a.irr_inception));
-    setKpi("vol", fmtPct(a.volatility));
-    setKpi("sharpe", a.sharpe.toFixed(2));
-    setKpi("dd", fmtPct(a.max_drawdown), "danger");
-
-    const tbody = document.getElementById("holdings");
-    a.positions.forEach((p) => {
-      const meta = DATA.asset_meta[p.asset] || { sector: "—" };
-      tbody.insertAdjacentHTML("beforeend", `
-        <tr>
-          <td class="asset">${p.asset}</td>
-          <td class="muted small">${meta.sector}</td>
-          <td class="r">${fmtNum(p.qty)}</td>
-          <td class="r">${fmtMoney(p.avg_cost)}</td>
-          <td class="r">${fmtMoney(p.market_price)}</td>
-          <td class="r">${fmtMoney(p.market_value)}</td>
-          <td class="r ${signClass(p.unrealized_pnl)}">
-            ${fmtMoney(p.unrealized_pnl)} (${fmtPct(p.pnl_pct, 1)})
-          </td>
-        </tr>
-      `);
-    });
-
-    renderAllocation(a.positions, a.total_market_value);
-  }
-
-  const COLORS = ["#5cf2a0", "#7bb7ff", "#ffb454", "#ff5c7a", "#c08bff", "#7ad6ff"];
-  function renderAllocation(positions, total) {
-    const sorted = positions.slice().sort((x, y) => y.market_value - x.market_value);
-    const bar = document.getElementById("alloc-bar");
-    const legend = document.getElementById("alloc-legend");
-    sorted.forEach((p, i) => {
-      const share = p.market_value / total;
-      const c = COLORS[i % COLORS.length];
-      bar.insertAdjacentHTML("beforeend",
-        `<div style="width:${(share * 100).toFixed(2)}%;background:${c}" title="${p.asset} ${(share * 100).toFixed(1)}%"></div>`
-      );
-      legend.insertAdjacentHTML("beforeend", `
-        <div class="item">
-          <span class="dot" style="background:${c}"></span>
-          <span class="mono">${p.asset}</span>
-          <span class="pct">${(share * 100).toFixed(1)}%</span>
-        </div>
-      `);
-    });
-  }
-
-  // ---------- Transactions ----------
-  const TX_TYPES = ["BUY","SELL","DIVIDEND","COUPON","DEPOSIT","WITHDRAWAL","SPENDING","TRANSFER","FX","FEE"];
-  const TX_COLOR = {
-    BUY:"warn", SELL:"accent", DIVIDEND:"accent", COUPON:"accent",
-    DEPOSIT:"accent", WITHDRAWAL:"danger", SPENDING:"danger",
-    TRANSFER:"muted", FX:"muted", FEE:"danger"
-  };
-
-  function renderTransactions() {
-    mount("transactions");
-    if (!DATA) return renderEmpty();
-
-    const typeSel = document.getElementById("tx-type");
-    TX_TYPES.forEach(t => {
-      const opt = document.createElement("option");
-      opt.value = t; opt.textContent = t;
-      typeSel.appendChild(opt);
-    });
-
-    const drawRows = () => {
-      const q = document.getElementById("tx-search").value.trim().toLowerCase();
-      const tFilter = typeSel.value;
-      const tbody = document.getElementById("tx-rows");
-      tbody.innerHTML = "";
-      const rows = DATA.transactions
-        .filter(t => !tFilter || t.type === tFilter)
-        .filter(t => !q || (t.description || "").toLowerCase().includes(q))
-        .slice().reverse();
-      if (rows.length === 0) {
-        tbody.innerHTML = `<tr><td colspan="7" class="muted r" style="text-align:center;padding:30px">Ничего не найдено.</td></tr>`;
-        return;
-      }
-      rows.forEach(t => {
-        tbody.insertAdjacentHTML("beforeend", `
-          <tr>
-            <td class="mono small">${t.date}</td>
-            <td class="${TX_COLOR[t.type] || ''}">${t.type}</td>
-            <td class="asset">${t.asset || "—"}</td>
-            <td class="r">${t.qty ? fmtNum(t.qty) : "—"}</td>
-            <td class="r ${t.amount >= 0 ? 'accent' : 'danger'}">${fmtMoney(t.amount)}</td>
-            <td class="muted small">${t.category || "—"}</td>
-            <td class="muted small">${t.description || "—"}</td>
-          </tr>
-        `);
-      });
-    };
-
-    document.getElementById("tx-search").addEventListener("input", drawRows);
-    typeSel.addEventListener("change", drawRows);
-    drawRows();
-  }
-
-  // ---------- Cash Flow ----------
-  function renderCashflow() {
-    mount("cashflow");
-    if (!DATA) return renderEmpty();
-
-    const txns = DATA.transactions;
-    const inflowTypes = new Set(["DEPOSIT", "DIVIDEND", "COUPON"]);
-    const outflowTypes = new Set(["WITHDRAWAL", "SPENDING", "FEE"]);
-
-    let inflows = 0, outflows = 0;
-    const spendByCat = {};
-    const divByAsset = {};
-    const monthly = {}; // { "2024-01": {in, out} }
-
-    txns.forEach(t => {
-      const amt = Math.abs(t.amount);
-      const month = t.date.slice(0, 7);
-      monthly[month] = monthly[month] || { in: 0, out: 0 };
-      if (inflowTypes.has(t.type)) {
-        inflows += amt;
-        monthly[month].in += amt;
-        if (t.type === "DIVIDEND" || t.type === "COUPON") {
-          const k = t.asset || "—";
-          divByAsset[k] = (divByAsset[k] || 0) + amt;
-        }
-      } else if (outflowTypes.has(t.type)) {
-        outflows += amt;
-        monthly[month].out += amt;
-        if (t.type === "SPENDING") {
-          const k = t.category || "other";
-          spendByCat[k] = (spendByCat[k] || 0) + amt;
-        }
-      }
-    });
-
-    const net = inflows - outflows;
-    setKpi("in", fmtMoney(inflows));
-    setKpi("out", fmtMoney(outflows));
-    setKpi("net", fmtMoney(net), net >= 0 ? "accent" : "danger");
-
-    renderBars("spend-bars", spendByCat, "danger");
-    renderBars("div-bars", divByAsset, "accent");
-    renderMonthlyChart(monthly);
-  }
-
-  function renderBars(id, dict, tone) {
-    const el = document.getElementById(id);
-    const rows = Object.entries(dict).sort((a, b) => b[1] - a[1]);
-    if (rows.length === 0) {
-      el.innerHTML = `<div class="muted small">Нет данных.</div>`;
-      return;
-    }
-    const max = Math.max(...rows.map(r => r[1]));
-    rows.forEach(([k, v]) => {
-      el.insertAdjacentHTML("beforeend", `
-        <div class="bar-row">
-          <div class="meta">
-            <span class="label">${k}</span>
-            <span class="val mono">${fmtMoney(v)}</span>
-          </div>
-          <div class="bar-track"><div class="bar-fill ${tone}" style="width:${(v / max * 100).toFixed(1)}%"></div></div>
-        </div>
-      `);
-    });
-  }
-
-  function renderMonthlyChart(monthly) {
-    const el = document.getElementById("monthly-chart");
-    const months = Object.keys(monthly).sort();
-    const max = Math.max(...months.map(m => Math.max(monthly[m].in, monthly[m].out)), 1);
-    months.forEach(m => {
-      const { in: i, out: o } = monthly[m];
-      const ih = (i / max) * 160;
-      const oh = (o / max) * 160;
-      el.insertAdjacentHTML("beforeend", `
-        <div class="bucket">
-          <div class="stack">
-            <div class="bar accent" style="height:${ih}px" title="In ${fmtMoney(i)}"></div>
-            <div class="bar danger" style="height:${oh}px" title="Out ${fmtMoney(o)}"></div>
-          </div>
-          <div class="month">${m.slice(2)}</div>
-        </div>
-      `);
-    });
-  }
-
-  // ---------- Upload ----------
-  function renderUpload() {
-    mount("upload");
-
-    document.getElementById("btn-load-sample").onclick = () => {
-      loadData();
-      showUploadResult({
-        broker: DATA.meta.broker,
-        rows_parsed: DATA.transactions.length,
-        rows_imported: DATA.transactions.length,
-        rows_skipped: 0
-      });
-    };
-    document.getElementById("btn-reset").onclick = () => {
-      resetData();
-      document.getElementById("upload-result").innerHTML =
-        `<div class="toast muted">Данные сброшены.</div>`;
-    };
-    document.getElementById("file-input").addEventListener("change", (e) => {
-      const f = e.target.files[0];
-      if (!f) return;
-      // MVP-демо: настоящий парсинг XLSX живёт в backend.
-      // Здесь мы просто грузим mock-данные при любом файле.
-      loadData();
-      showUploadResult({
-        broker: DATA.meta.broker,
-        rows_parsed: DATA.transactions.length,
-        rows_imported: DATA.transactions.length,
-        rows_skipped: 0,
-        filename: f.name,
-        size_kb: Math.round(f.size / 1024)
-      });
-    });
-  }
-
-  function showUploadResult(r) {
-    const html = `
-      <div class="toast ok">
-        <strong class="accent">Import OK</strong><br/>
-        Detected broker: <strong>${r.broker}</strong><br/>
-        Rows parsed: ${r.rows_parsed} · Imported: <strong class="accent">${r.rows_imported}</strong> · Skipped (dupes): ${r.rows_skipped}
-        ${r.filename ? `<br/><span class="muted small">File: ${r.filename} (${r.size_kb} KB)</span>` : ""}
-        <br/><br/>
-        Открой <a href="#dashboard" data-route="dashboard" class="accent">Dashboard</a>,
-        чтобы посмотреть метрики.
-      </div>
-    `;
-    document.getElementById("upload-result").innerHTML = html;
-    document
-      .querySelector("#upload-result a[data-route]")
-      .addEventListener("click", (e) => {
-        e.preventDefault();
-        navigate("dashboard");
-      });
-  }
-
-  // ---------- Router ----------
-  function navigate(route) {
-    currentRoute = route;
-    document.querySelectorAll("#nav button").forEach((b) =>
-      b.classList.toggle("active", b.dataset.route === route)
-    );
-    location.hash = route;
-    if (route === "dashboard") renderDashboard();
-    else if (route === "portfolio") renderPortfolio();
-    else if (route === "transactions") renderTransactions();
-    else if (route === "cashflow") renderCashflow();
-    else if (route === "upload") renderUpload();
-  }
-
-  document.getElementById("nav").addEventListener("click", (e) => {
-    const r = e.target.dataset.route;
-    if (r) navigate(r);
-  });
-
-  window.addEventListener("hashchange", () => {
-    const r = location.hash.replace("#", "") || "dashboard";
-    if (r !== currentRoute) navigate(r);
-  });
-
-  // Boot
-  const startRoute = location.hash.replace("#", "") || "dashboard";
-  navigate(startRoute);
-})();
--- a/atlas-vanilla/data.js
+++ b/atlas-vanilla/data.js
@ -1,91 +0,0 @@
-// Atlas AI Wealth — Mock dataset
-// Hand-crafted to look like a real broker portfolio (Interactive Brokers, 2024–2026)
-// All numbers are made up but mathematically consistent (qty * price = mv, etc.)
-
-window.MOCK_DATA = {
-  meta: {
-    broker: "Interactive Brokers",
-    base_currency: "USD",
-    inception: "2024-01-02",
-    last_updated: "2026-05-22"
-  },
-
-  // Current market prices (snapshot)
-  prices: {
-    AAPL:  212.50,
-    MSFT:  428.00,
-    NVDA:  128.40,
-    GOOGL: 178.20,
-    SPY:   568.00,
-    UST10Y: 1000.00 // bond face value, for completeness
-  },
-
-  // Asset metadata for portfolio screen
-  asset_meta: {
-    AAPL:  { name: "Apple Inc.",        sector: "Technology"   },
-    MSFT:  { name: "Microsoft Corp.",   sector: "Technology"   },
-    NVDA:  { name: "NVIDIA Corp.",      sector: "Semiconductors" },
-    GOOGL: { name: "Alphabet Inc.",     sector: "Communication" },
-    SPY:   { name: "SPDR S&P 500 ETF",  sector: "Broad Market" },
-    UST10Y:{ name: "US Treasury 10Y",   sector: "Bonds"        }
-  },
-
-  // 27 transactions covering Buy/Sell/Dividend/Coupon/Deposit/Withdraw/Spending/Fee
-  transactions: [
-    { id:"t01", date:"2024-01-02", type:"DEPOSIT",     asset:null,    qty:0,  amount: 50000.00, fee:0,   category:null,        description:"Wire in funding" },
-    { id:"t02", date:"2024-01-05", type:"BUY",         asset:"AAPL",  qty:50, amount: -9200.00, fee:1,   category:null,        description:"Interactive Brokers — BUY AAPL" },
-    { id:"t03", date:"2024-01-15", type:"BUY",         asset:"MSFT",  qty:20, amount: -7400.00, fee:1,   category:null,        description:"BUY MSFT" },
-    { id:"t04", date:"2024-02-04", type:"BUY",         asset:"NVDA",  qty:30, amount: -2700.00, fee:1,   category:null,        description:"BUY NVDA" },
-    { id:"t05", date:"2024-02-10", type:"SPENDING",    asset:null,    qty:0,  amount:  -120.00, fee:0,   category:"restaurants", description:"Starbucks Coffee" },
-    { id:"t06", date:"2024-02-19", type:"DIVIDEND",    asset:"AAPL",  qty:0,  amount:    36.00, fee:0,   category:null,        description:"Cash DIVIDEND AAPL" },
-    { id:"t07", date:"2024-03-12", type:"SPENDING",    asset:null,    qty:0,  amount:  -640.00, fee:0,   category:"shopping",   description:"Amazon online store" },
-    { id:"t08", date:"2024-03-15", type:"BUY",         asset:"SPY",   qty:15, amount: -7200.00, fee:1,   category:null,        description:"BUY SPY" },
-    { id:"t09", date:"2024-04-04", type:"DIVIDEND",    asset:"MSFT",  qty:0,  amount:    18.00, fee:0,   category:null,        description:"Qualified DIV MSFT" },
-    { id:"t10", date:"2024-05-02", type:"SPENDING",    asset:null,    qty:0,  amount: -2200.00, fee:0,   category:"travel",     description:"Booking Hotel Paris" },
-    { id:"t11", date:"2024-05-04", type:"SELL",        asset:"AAPL",  qty:10, amount:  2100.00, fee:1,   category:null,        description:"SELL AAPL" },
-    { id:"t12", date:"2024-05-24", type:"COUPON",      asset:"UST10Y",qty:0,  amount:   220.00, fee:0,   category:null,        description:"Bond interest payment" },
-    { id:"t13", date:"2024-06-18", type:"SPENDING",    asset:null,    qty:0,  amount:   -45.00, fee:0,   category:"transport",  description:"Uber ride" },
-    { id:"t14", date:"2024-07-03", type:"BUY",         asset:"GOOGL", qty:8,  amount: -1320.00, fee:1,   category:null,        description:"BUY GOOGL" },
-    { id:"t15", date:"2024-08-02", type:"DIVIDEND",    asset:"SPY",   qty:0,  amount:    75.00, fee:0,   category:null,        description:"Cash dividend SPY" },
-    { id:"t16", date:"2024-08-22", type:"WITHDRAWAL",  asset:null,    qty:0,  amount: -3000.00, fee:0,   category:null,        description:"Cash withdrawal ATM" },
-    { id:"t17", date:"2024-09-12", type:"FEE",         asset:null,    qty:0,  amount:   -15.00, fee:0,   category:null,        description:"Broker commission monthly" },
-    { id:"t18", date:"2024-11-05", type:"SPENDING",    asset:null,    qty:0,  amount:  -300.00, fee:0,   category:"restaurants", description:"Restaurant dining" },
-    { id:"t19", date:"2026-01-10", type:"DIVIDEND",    asset:"AAPL",  qty:0,  amount:    40.00, fee:0,   category:null,        description:"Cash DIVIDEND AAPL" },
-    { id:"t20", date:"2026-01-20", type:"SPENDING",    asset:null,    qty:0,  amount:  -180.00, fee:0,   category:"subscriptions", description:"Netflix subscription bundle" },
-    { id:"t21", date:"2026-02-05", type:"BUY",         asset:"NVDA",  qty:20, amount: -2480.00, fee:1,   category:null,        description:"BUY NVDA" },
-    { id:"t22", date:"2026-02-14", type:"SPENDING",    asset:null,    qty:0,  amount: -1500.00, fee:0,   category:"travel",     description:"Airline ticket" },
-    { id:"t23", date:"2026-03-05", type:"SPENDING",    asset:null,    qty:0,  amount:   -90.00, fee:0,   category:"subscriptions", description:"Spotify subscription" },
-    { id:"t24", date:"2026-03-15", type:"DIVIDEND",    asset:"MSFT",  qty:0,  amount:    22.00, fee:0,   category:null,        description:"DIV MSFT" },
-    { id:"t25", date:"2026-04-01", type:"COUPON",      asset:"UST10Y",qty:0,  amount:   220.00, fee:0,   category:null,        description:"Bond interest payment" },
-    { id:"t26", date:"2026-04-08", type:"SPENDING",    asset:null,    qty:0,  amount:  -250.00, fee:0,   category:"shopping",   description:"Apple Store purchase" },
-    { id:"t27", date:"2026-05-01", type:"SPENDING",    asset:null,    qty:0,  amount:  -420.00, fee:0,   category:"restaurants", description:"Restaurant cafe dinner" }
-  ],
-
-  // Pre-computed analytics (so MVP doesn't need real math engine in browser)
-  // The numbers DO match transactions if you add them up — kept consistent.
-  analytics: {
-    cash_balance: 13664.00,
-    positions: [
-      // qty, avg_cost, cost_basis from BUY rows above; price from prices{}; mv = qty*price; pnl = mv-cost
-      { asset:"MSFT",  qty:20, avg_cost:370.00, cost_basis: 7400.00, market_price:428.00, market_value:8560.00, unrealized_pnl:1160.00, pnl_pct:0.1568 },
-      { asset:"SPY",   qty:15, avg_cost:480.00, cost_basis: 7200.00, market_price:568.00, market_value:8520.00, unrealized_pnl:1320.00, pnl_pct:0.1833 },
-      { asset:"AAPL",  qty:40, avg_cost:184.00, cost_basis: 7360.00, market_price:212.50, market_value:8500.00, unrealized_pnl:1140.00, pnl_pct:0.1549 },
-      { asset:"NVDA",  qty:50, avg_cost:103.60, cost_basis: 5180.00, market_price:128.40, market_value:6420.00, unrealized_pnl:1240.00, pnl_pct:0.2394 },
-      { asset:"GOOGL", qty:8,  avg_cost:165.00, cost_basis: 1320.00, market_price:178.20, market_value:1425.60, unrealized_pnl: 105.60, pnl_pct:0.0800 }
-    ],
-    // totals
-    total_cost_basis:  28460.00,
-    total_market_value: 33425.60,
-    unrealized_pnl:     4965.60,
-    unrealized_pnl_pct: 0.1745,
-    realized_pnl:        260.00,
-    net_worth:         47089.60,
-    // performance (institutional metrics)
-    twr_ytd:           0.0742,
-    twr_inception:     0.1745,
-    irr_inception:     0.0850,
-    volatility:        0.1820,
-    sharpe:            0.86,
-    max_drawdown:     -0.1240
-  }
-};
--- a/atlas-vanilla/index.html
+++ b/atlas-vanilla/index.html
@ -1,193 +0,0 @@
-<!DOCTYPE html>
-<html lang="ru">
-<head>
-  <meta charset="UTF-8" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Atlas AI Wealth</title>
-  <link rel="stylesheet" href="styles.css" />
-</head>
-<body>
-  <header class="topbar">
-    <div class="brand"><span class="accent">Atlas</span> AI Wealth</div>
-    <nav class="nav" id="nav">
-      <button data-route="dashboard" class="active">Dashboard</button>
-      <button data-route="portfolio">Portfolio</button>
-      <button data-route="transactions">Transactions</button>
-      <button data-route="cashflow">Cash Flow</button>
-      <button data-route="upload">Upload</button>
-    </nav>
-    <div class="user">demo@atlas.local</div>
-  </header>
-
-  <main id="view"></main>
-
-  <!-- Templates -->
-  <template id="tpl-dashboard">
-    <section>
-      <div class="row spread">
-        <h1>Dashboard</h1>
-        <div class="muted mono">Wealth OS — institutional view</div>
-      </div>
-      <div class="kpi-grid">
-        <div class="card kpi"><div class="kpi-label">Net Worth</div><div class="kpi-value" data-k="netWorth"></div></div>
-        <div class="card kpi"><div class="kpi-label">Portfolio Value</div><div class="kpi-value" data-k="portfolioValue"></div></div>
-        <div class="card kpi"><div class="kpi-label">Cash</div><div class="kpi-value" data-k="cash"></div></div>
-        <div class="card kpi"><div class="kpi-label">Performance YTD</div><div class="kpi-value accent" data-k="ytd"></div></div>
-      </div>
-      <div class="kpi-grid kpi-3">
-        <div class="card kpi"><div class="kpi-label">Spending MTD</div><div class="kpi-value" data-k="spendMtd"></div></div>
-        <div class="card kpi"><div class="kpi-label">Spending YTD</div><div class="kpi-value" data-k="spendYtd"></div></div>
-        <div class="card kpi"><div class="kpi-label">Passive Income YTD</div><div class="kpi-value accent" data-k="passive"></div></div>
-      </div>
-      <div class="grid-2-1">
-        <div class="card">
-          <div class="kpi-label">Top Positions</div>
-          <table class="data">
-            <thead><tr>
-              <th>Asset</th><th class="r">Qty</th><th class="r">Avg Cost</th>
-              <th class="r">Price</th><th class="r">Market Value</th><th class="r">PnL</th>
-            </tr></thead>
-            <tbody id="top-positions"></tbody>
-          </table>
-        </div>
-        <div class="card">
-          <div class="kpi-label">AI Copilot</div>
-          <div class="copilot">
-            <div class="row">
-              <input id="copilot-input" placeholder="Спроси про портфель, расходы, риски…" />
-              <button id="copilot-ask" class="btn-primary">Ask</button>
-            </div>
-            <div class="chips" id="copilot-suggest"></div>
-            <div id="copilot-answer" class="answer"></div>
-          </div>
-        </div>
-      </div>
-    </section>
-  </template>
-
-  <template id="tpl-portfolio">
-    <section>
-      <h1>Portfolio</h1>
-      <div class="kpi-grid">
-        <div class="card kpi"><div class="kpi-label">Market Value</div><div class="kpi-value" data-k="mv"></div></div>
-        <div class="card kpi"><div class="kpi-label">Cost Basis</div><div class="kpi-value" data-k="cost"></div></div>
-        <div class="card kpi"><div class="kpi-label">Unrealized PnL</div><div class="kpi-value accent" data-k="upnl"></div></div>
-        <div class="card kpi"><div class="kpi-label">Realized PnL</div><div class="kpi-value accent" data-k="rpnl"></div></div>
-      </div>
-      <div class="kpi-grid kpi-3">
-        <div class="card kpi"><div class="kpi-label">TWR YTD</div><div class="kpi-value" data-k="twrYtd"></div></div>
-        <div class="card kpi"><div class="kpi-label">TWR Since Inception</div><div class="kpi-value" data-k="twr"></div></div>
-        <div class="card kpi"><div class="kpi-label">IRR Since Inception</div><div class="kpi-value" data-k="irr"></div></div>
-      </div>
-      <div class="kpi-grid kpi-3">
-        <div class="card kpi"><div class="kpi-label">Volatility (ann.)</div><div class="kpi-value" data-k="vol"></div></div>
-        <div class="card kpi"><div class="kpi-label">Sharpe</div><div class="kpi-value" data-k="sharpe"></div></div>
-        <div class="card kpi"><div class="kpi-label">Max Drawdown</div><div class="kpi-value warn" data-k="dd"></div></div>
-      </div>
-      <div class="grid-2-1">
-        <div class="card">
-          <div class="kpi-label">Holdings</div>
-          <table class="data">
-            <thead><tr>
-              <th>Asset</th><th>Sector</th><th class="r">Qty</th><th class="r">Avg Cost</th>
-              <th class="r">Price</th><th class="r">Market Value</th><th class="r">PnL</th>
-            </tr></thead>
-            <tbody id="holdings"></tbody>
-          </table>
-        </div>
-        <div class="card">
-          <div class="kpi-label">Allocation</div>
-          <div id="alloc-bar" class="alloc-bar"></div>
-          <div id="alloc-legend" class="alloc-legend"></div>
-        </div>
-      </div>
-    </section>
-  </template>
-
-  <template id="tpl-transactions">
-    <section>
-      <h1>Transactions</h1>
-      <div class="card row gap">
-        <input id="tx-search" placeholder="Поиск по описанию…" />
-        <select id="tx-type">
-          <option value="">All types</option>
-        </select>
-      </div>
-      <div class="card overflow">
-        <table class="data">
-          <thead><tr>
-            <th>Date</th><th>Type</th><th>Asset</th>
-            <th class="r">Qty</th><th class="r">Amount</th>
-            <th>Category</th><th>Description</th>
-          </tr></thead>
-          <tbody id="tx-rows"></tbody>
-        </table>
-      </div>
-    </section>
-  </template>
-
-  <template id="tpl-cashflow">
-    <section>
-      <h1>Cash Flow</h1>
-      <div class="kpi-grid kpi-3">
-        <div class="card kpi"><div class="kpi-label">Inflows</div><div class="kpi-value accent" data-k="in"></div></div>
-        <div class="card kpi"><div class="kpi-label">Outflows</div><div class="kpi-value danger" data-k="out"></div></div>
-        <div class="card kpi"><div class="kpi-label">Net</div><div class="kpi-value" data-k="net"></div></div>
-      </div>
-      <div class="grid-1-1">
-        <div class="card">
-          <div class="kpi-label">Spending by Category</div>
-          <div id="spend-bars"></div>
-        </div>
-        <div class="card">
-          <div class="kpi-label">Dividends & Coupons by Asset</div>
-          <div id="div-bars"></div>
-        </div>
-      </div>
-      <div class="card">
-        <div class="kpi-label">Monthly Cash Flow</div>
-        <div id="monthly-chart" class="chart"></div>
-        <div class="legend">
-          <span><i class="dot accent"></i>Inflow</span>
-          <span><i class="dot danger"></i>Outflow</span>
-        </div>
-      </div>
-    </section>
-  </template>
-
-  <template id="tpl-upload">
-    <section>
-      <h1>Upload Statement</h1>
-      <div class="card stack">
-        <div class="kpi-label">Брокерский отчет / банковская выписка</div>
-        <input type="file" id="file-input" accept=".xlsx,.csv,.pdf" />
-        <p class="muted small">
-          MVP-демо: реальный парсинг XLSX/CSV/PDF реализован в backend (FastAPI).
-          Здесь кликни <strong>«Load sample data»</strong> чтобы загрузить готовый
-          мок-портфель (Interactive Brokers, 27 транзакций 2024–2026).
-        </p>
-        <div class="row gap">
-          <button class="btn-primary" id="btn-load-sample">Load sample data</button>
-          <button class="btn-ghost" id="btn-reset">Reset data</button>
-        </div>
-        <div id="upload-result"></div>
-      </div>
-      <div class="card">
-        <div class="kpi-label">Supported (TRD §7)</div>
-        <ul class="bullets">
-          <li>XLSX (multi-sheet, custom broker formats, inconsistent headers)</li>
-          <li>CSV</li>
-          <li>PDF statements (Phase 2)</li>
-        </ul>
-        <div class="kpi-label">Auto-detected brokers</div>
-        <ul class="bullets">
-          <li>Interactive Brokers · Freedom · Halyk Finance · Binance · Kaspi · Charles Schwab</li>
-        </ul>
-      </div>
-    </section>
-  </template>
-
-  <script src="data.js"></script>
-  <script src="app.js"></script>
-</body>
-</html>
--- a/atlas-vanilla/styles.css
+++ b/atlas-vanilla/styles.css
@ -1,332 +0,0 @@
-:root {
-  --ink: #0b0d10;
-  --panel: #13171c;
-  --line: #1f262e;
-  --muted: #7a8693;
-  --text: #e6ebf0;
-  --accent: #5cf2a0;
-  --accent-dim: #2f8d5a;
-  --warn: #ffb454;
-  --danger: #ff5c7a;
-}
-
-* { box-sizing: border-box; }
-
-html, body {
-  margin: 0;
-  padding: 0;
-  background: var(--ink);
-  color: var(--text);
-  font-family: -apple-system, BlinkMacSystemFont, "Inter", "Segoe UI", system-ui, sans-serif;
-  font-size: 14px;
-  line-height: 1.5;
-}
-
-.mono { font-family: ui-monospace, "SF Mono", Menlo, monospace; }
-.muted { color: var(--muted); }
-.accent { color: var(--accent); }
-.warn { color: var(--warn); }
-.danger { color: var(--danger); }
-.small { font-size: 12px; }
-.r { text-align: right; }
-.spread { justify-content: space-between; align-items: baseline; }
-.gap { gap: 12px; }
-
-/* Topbar */
-.topbar {
-  display: flex;
-  align-items: center;
-  gap: 24px;
-  padding: 14px 28px;
-  border-bottom: 1px solid var(--line);
-  background: rgba(11, 13, 16, 0.85);
-  backdrop-filter: blur(8px);
-  position: sticky;
-  top: 0;
-  z-index: 10;
-}
-.brand { font-weight: 600; letter-spacing: -0.01em; font-size: 16px; }
-.nav { display: flex; gap: 4px; }
-.nav button {
-  background: transparent;
-  border: 1px solid transparent;
-  color: var(--muted);
-  padding: 6px 12px;
-  border-radius: 6px;
-  font-size: 13px;
-  cursor: pointer;
-  transition: 0.15s;
-}
-.nav button:hover { color: var(--text); }
-.nav button.active {
-  background: var(--panel);
-  border-color: var(--line);
-  color: var(--text);
-}
-.user {
-  margin-left: auto;
-  color: var(--muted);
-  font-family: ui-monospace, "SF Mono", Menlo, monospace;
-  font-size: 12px;
-}
-
-/* Layout */
-main {
-  max-width: 1280px;
-  margin: 0 auto;
-  padding: 32px 28px;
-}
-section { display: flex; flex-direction: column; gap: 20px; }
-h1 { font-size: 22px; font-weight: 600; letter-spacing: -0.01em; margin: 0; }
-
-.row { display: flex; align-items: center; }
-.stack { display: flex; flex-direction: column; gap: 12px; }
-
-/* Cards */
-.card {
-  background: var(--panel);
-  border: 1px solid var(--line);
-  border-radius: 12px;
-  padding: 20px;
-}
-
-/* KPI */
-.kpi-grid {
-  display: grid;
-  gap: 16px;
-  grid-template-columns: repeat(4, minmax(0, 1fr));
-}
-.kpi-3 { grid-template-columns: repeat(3, minmax(0, 1fr)); }
-@media (max-width: 880px) {
-  .kpi-grid, .kpi-3 { grid-template-columns: repeat(2, 1fr); }
-}
-.kpi { padding: 18px 20px; }
-.kpi-label {
-  font-size: 11px;
-  text-transform: uppercase;
-  letter-spacing: 0.1em;
-  color: var(--muted);
-}
-.kpi-value {
-  font-size: 26px;
-  font-weight: 600;
-  letter-spacing: -0.01em;
-  margin-top: 8px;
-  font-variant-numeric: tabular-nums;
-}
-
-/* Grids */
-.grid-2-1 {
-  display: grid;
-  gap: 16px;
-  grid-template-columns: 2fr 1fr;
-}
-.grid-1-1 {
-  display: grid;
-  gap: 16px;
-  grid-template-columns: 1fr 1fr;
-}
-@media (max-width: 880px) {
-  .grid-2-1, .grid-1-1 { grid-template-columns: 1fr; }
-}
-
-/* Tables */
-table.data {
-  width: 100%;
-  border-collapse: collapse;
-  margin-top: 12px;
-  font-size: 13px;
-}
-table.data th {
-  color: var(--muted);
-  font-weight: 500;
-  text-transform: uppercase;
-  font-size: 11px;
-  letter-spacing: 0.08em;
-  text-align: left;
-  padding: 8px 6px;
-  border-bottom: 1px solid var(--line);
-}
-table.data td {
-  padding: 10px 6px;
-  border-bottom: 1px solid var(--line);
-  font-variant-numeric: tabular-nums;
-}
-table.data tr:last-child td { border-bottom: 0; }
-table.data td.asset { font-family: ui-monospace, "SF Mono", Menlo, monospace; }
-.overflow { overflow-x: auto; }
-
-/* Inputs */
-input[type="text"], input[type="file"], input:not([type]), select {
-  background: var(--ink);
-  border: 1px solid var(--line);
-  color: var(--text);
-  padding: 8px 12px;
-  border-radius: 6px;
-  font-size: 13px;
-  font-family: inherit;
-  outline: none;
-}
-input:focus, select:focus { border-color: var(--accent); }
-input { flex: 1; min-width: 0; }
-
-button.btn-primary {
-  background: var(--accent);
-  color: var(--ink);
-  border: 0;
-  padding: 8px 16px;
-  border-radius: 6px;
-  font-weight: 600;
-  font-size: 13px;
-  cursor: pointer;
-  font-family: inherit;
-}
-button.btn-primary:disabled { opacity: 0.4; cursor: not-allowed; }
-button.btn-ghost {
-  background: transparent;
-  border: 1px solid var(--line);
-  color: var(--text);
-  padding: 8px 16px;
-  border-radius: 6px;
-  font-size: 13px;
-  cursor: pointer;
-  font-family: inherit;
-}
-button.btn-ghost:hover { border-color: var(--accent); color: var(--accent); }
-
-/* Copilot */
-.copilot { display: flex; flex-direction: column; gap: 12px; margin-top: 10px; }
-.chips { display: flex; gap: 6px; flex-wrap: wrap; }
-.chip {
-  background: transparent;
-  border: 1px solid var(--line);
-  color: var(--muted);
-  font-size: 11px;
-  padding: 4px 10px;
-  border-radius: 999px;
-  cursor: pointer;
-  font-family: inherit;
-}
-.chip:hover { color: var(--accent); border-color: var(--accent); }
-.answer {
-  background: var(--ink);
-  border: 1px solid var(--line);
-  border-radius: 8px;
-  padding: 14px 16px;
-  font-size: 13px;
-  line-height: 1.6;
-  white-space: pre-wrap;
-  display: none;
-}
-.answer.show { display: block; }
-
-/* Allocation */
-.alloc-bar {
-  display: flex;
-  height: 10px;
-  border-radius: 4px;
-  overflow: hidden;
-  border: 1px solid var(--line);
-  margin-top: 12px;
-}
-.alloc-legend {
-  margin-top: 14px;
-  display: grid;
-  grid-template-columns: 1fr 1fr;
-  gap: 6px;
-  font-size: 12px;
-}
-.alloc-legend .item { display: flex; align-items: center; gap: 8px; }
-.alloc-legend .dot {
-  width: 8px; height: 8px; border-radius: 2px;
-}
-.alloc-legend .pct { margin-left: auto; color: var(--muted); }
-
-/* Bars */
-.bar-row { margin-bottom: 10px; }
-.bar-row .meta {
-  display: flex;
-  justify-content: space-between;
-  font-size: 12px;
-  margin-bottom: 4px;
-}
-.bar-row .meta .label { color: var(--muted); }
-.bar-row .meta .val { font-variant-numeric: tabular-nums; }
-.bar-track {
-  height: 6px;
-  background: var(--ink);
-  border-radius: 3px;
-  overflow: hidden;
-}
-.bar-fill { height: 100%; border-radius: 3px; }
-.bar-fill.danger { background: var(--danger); }
-.bar-fill.accent { background: var(--accent); }
-
-/* Monthly chart */
-.chart {
-  display: flex;
-  align-items: flex-end;
-  gap: 8px;
-  height: 180px;
-  margin-top: 12px;
-}
-.chart .bucket {
-  flex: 1;
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-  gap: 6px;
-}
-.chart .stack {
-  width: 100%;
-  display: flex;
-  gap: 2px;
-  align-items: flex-end;
-  height: 100%;
-}
-.chart .stack .bar {
-  flex: 1;
-  border-radius: 3px 3px 0 0;
-  min-height: 2px;
-}
-.chart .bar.accent { background: var(--accent); }
-.chart .bar.danger { background: var(--danger); }
-.chart .month {
-  font-size: 10px;
-  color: var(--muted);
-  font-family: ui-monospace, "SF Mono", Menlo, monospace;
-}
-.legend {
-  display: flex;
-  gap: 16px;
-  margin-top: 12px;
-  font-size: 12px;
-  color: var(--muted);
-}
-.legend .dot {
-  display: inline-block;
-  width: 8px; height: 8px;
-  border-radius: 2px;
-  margin-right: 6px;
-  vertical-align: middle;
-}
-.legend .dot.accent { background: var(--accent); }
-.legend .dot.danger { background: var(--danger); }
-
-.bullets {
-  margin: 8px 0 0;
-  padding-left: 16px;
-  color: var(--muted);
-  font-size: 13px;
-}
-.bullets li { margin-bottom: 4px; }
-
-.toast {
-  margin-top: 8px;
-  padding: 12px 16px;
-  border-radius: 8px;
-  border: 1px solid var(--line);
-  background: var(--ink);
-  font-size: 13px;
-}
-.toast.ok { border-color: var(--accent-dim); }
--- a/backend/.env.example
+++ b/backend/.env.example
@ -1,3 +0,0 @@
-DATABASE_URL=sqlite:///./atlas.db
-CORS_ORIGINS=["http://localhost:3000"]
-DEFAULT_USER_EMAIL=demo@atlas.local
--- a/backend/.gitignore
+++ b/backend/.gitignore
@ -1,7 +0,0 @@
-.venv/
-__pycache__/
-*.pyc
-*.db
-.env
-.env.local
-sample_broker_statement.xlsx
--- a/backend/app/init.py
+++ b/backend/app/init.py
--- a/backend/app/analytics.py
+++ b/backend/app/analytics.py
@ -1,298 +0,0 @@
-"""Portfolio analytics engine.
-
-Implements:
-  - position aggregation (avg cost, qty)
-  - TWR (Modified Dietz approximation) for YTD / since-inception
-  - IRR via Newton iteration on cash flows
-  - cash balance from deposits/withdrawals/dividends/spending
-  - allocation by asset
-  - spending + dividend aggregation
-"""
-from __future__ import annotations
-
-from collections import defaultdict
-from datetime import date, datetime
-from decimal import Decimal
-from typing import Iterable
-
-from .models import Transaction, TransactionType
-
-
-def _d(x) -> Decimal:
-    return x if isinstance(x, Decimal) else Decimal(str(x))
-
-
-def aggregate_positions(txns: Iterable[Transaction]) -> dict[str, dict]:
-    """Build current positions using moving average cost."""
-    book: dict[str, dict] = {}
-    for t in sorted(txns, key=lambda x: x.occurred_at):
-        if not t.asset:
-            continue
-        pos = book.setdefault(t.asset, {"quantity": Decimal(0), "cost": Decimal(0), "realized_pnl": Decimal(0)})
-        qty = _d(t.quantity)
-        amt = abs(_d(t.amount))
-
-        if t.transaction_type == TransactionType.BUY and qty > 0:
-            pos["cost"] += amt
-            pos["quantity"] += qty
-        elif t.transaction_type == TransactionType.SELL and qty > 0:
-            if pos["quantity"] > 0:
-                avg = pos["cost"] / pos["quantity"]
-                sell_cost = avg * qty
-                proceeds = amt
-                pos["realized_pnl"] += proceeds - sell_cost
-                pos["cost"] -= sell_cost
-                pos["quantity"] -= qty
-                if pos["quantity"] <= 0:
-                    pos["quantity"] = Decimal(0)
-                    pos["cost"] = Decimal(0)
-
-    out: dict[str, dict] = {}
-    for asset, p in book.items():
-        if p["quantity"] <= 0:
-            continue
-        avg_cost = p["cost"] / p["quantity"] if p["quantity"] > 0 else Decimal(0)
-        out[asset] = {
-            "quantity": p["quantity"],
-            "avg_cost": avg_cost,
-            "cost_basis": p["cost"],
-            "realized_pnl": p["realized_pnl"],
-        }
-    return out
-
-
-def cash_balance(txns: Iterable[Transaction]) -> Decimal:
-    bal = Decimal(0)
-    for t in txns:
-        a = _d(t.amount)
-        ttype = t.transaction_type
-        if ttype in (TransactionType.DEPOSIT,):
-            bal += abs(a)
-        elif ttype in (TransactionType.WITHDRAWAL, TransactionType.SPENDING, TransactionType.FEE):
-            bal -= abs(a)
-        elif ttype in (TransactionType.DIVIDEND, TransactionType.COUPON):
-            bal += abs(a)
-        elif ttype == TransactionType.BUY:
-            bal -= abs(a) + _d(t.fee)
-        elif ttype == TransactionType.SELL:
-            bal += abs(a) - _d(t.fee)
-    return bal
-
-
-def total_realized_pnl(positions: dict[str, dict]) -> Decimal:
-    return sum((p["realized_pnl"] for p in positions.values()), Decimal(0))
-
-
-def market_value(positions: dict[str, dict], prices: dict[str, Decimal]) -> dict[str, Decimal]:
-    mv: dict[str, Decimal] = {}
-    for asset, p in positions.items():
-        price = prices.get(asset, p["avg_cost"])
-        mv[asset] = p["quantity"] * price
-    return mv
-
-
-def allocation(market_values: dict[str, Decimal]) -> dict[str, float]:
-    total = sum(market_values.values(), Decimal(0))
-    if total <= 0:
-        return {}
-    return {asset: float(v / total) for asset, v in market_values.items()}
-
-
-def _build_cashflows(txns: list[Transaction], start: datetime | None = None) -> list[tuple[datetime, Decimal]]:
-    """External cash flows: deposit positive, withdrawal negative.
-    Used for TWR + IRR computation.
-    """
-    flows: list[tuple[datetime, Decimal]] = []
-    for t in txns:
-        if start and t.occurred_at < start:
-            continue
-        a = abs(_d(t.amount))
-        if t.transaction_type == TransactionType.DEPOSIT:
-            flows.append((t.occurred_at, a))
-        elif t.transaction_type == TransactionType.WITHDRAWAL:
-            flows.append((t.occurred_at, -a))
-    return flows
-
-
-def modified_dietz(begin_value: Decimal, end_value: Decimal, cashflows: list[tuple[datetime, Decimal]],
-                   start: datetime, end: datetime) -> float | None:
-    """TWR approximation via Modified Dietz."""
-    period_days = (end - start).days
-    if period_days <= 0:
-        return None
-    weighted_cf = Decimal(0)
-    total_cf = Decimal(0)
-    for dt, cf in cashflows:
-        if dt < start or dt > end:
-            continue
-        w = Decimal((end - dt).days) / Decimal(period_days)
-        weighted_cf += cf * w
-        total_cf += cf
-    denom = begin_value + weighted_cf
-    if denom <= 0:
-        return None
-    return float((end_value - begin_value - total_cf) / denom)
-
-
-def irr(cashflows: list[tuple[datetime, Decimal]], final_value: Decimal, final_dt: datetime) -> float | None:
-    """Newton-method IRR on dated cash flows. Returns annualized rate."""
-    if not cashflows:
-        return None
-    flows = cashflows + [(final_dt, final_value)]
-    flows = [(dt, float(cf) * (-1 if i < len(cashflows) else 1)) for i, (dt, cf) in enumerate(flows)]
-    base = flows[0][0]
-    times = [(dt - base).days / 365.0 for dt, _ in flows]
-    amounts = [cf if i > 0 else -abs(cf) for i, (_, cf) in enumerate(flows)]
-
-    def npv(rate: float) -> float:
-        return sum(a / ((1 + rate) ** t) for a, t in zip(amounts, times))
-
-    rate = 0.1
-    for _ in range(60):
-        f = npv(rate)
-        d = sum(-t * a / ((1 + rate) ** (t + 1)) for a, t in zip(amounts, times))
-        if abs(d) < 1e-12:
-            break
-        new_rate = rate - f / d
-        if abs(new_rate - rate) < 1e-7:
-            rate = new_rate
-            break
-        rate = new_rate
-        if rate <= -0.999:
-            return None
-    if rate < -0.99 or rate > 10:
-        return None
-    return rate
-
-
-def spending_summary(txns: list[Transaction], year: int | None = None) -> dict:
-    by_cat: dict[str, Decimal] = defaultdict(Decimal)
-    monthly: dict[str, Decimal] = defaultdict(Decimal)
-    total = Decimal(0)
-    for t in txns:
-        if t.transaction_type != TransactionType.SPENDING:
-            continue
-        if year and t.occurred_at.year != year:
-            continue
-        amt = abs(_d(t.amount))
-        cat = t.category or "other"
-        by_cat[cat] += amt
-        monthly[t.occurred_at.strftime("%Y-%m")] += amt
-        total += amt
-    return {
-        "total": total,
-        "by_category": {k: v for k, v in by_cat.items()},
-        "monthly": [{"month": m, "amount": float(v)} for m, v in sorted(monthly.items())],
-    }
-
-
-def dividend_summary(txns: list[Transaction], year: int | None = None) -> dict:
-    by_asset: dict[str, Decimal] = defaultdict(Decimal)
-    by_month: dict[str, Decimal] = defaultdict(Decimal)
-    total = Decimal(0)
-    for t in txns:
-        if t.transaction_type not in (TransactionType.DIVIDEND, TransactionType.COUPON):
-            continue
-        if year and t.occurred_at.year != year:
-            continue
-        amt = abs(_d(t.amount))
-        by_asset[t.asset or "—"] += amt
-        by_month[t.occurred_at.strftime("%Y-%m")] += amt
-        total += amt
-    return {
-        "total": total,
-        "by_asset": {k: v for k, v in by_asset.items()},
-        "by_month": [{"month": m, "amount": float(v)} for m, v in sorted(by_month.items())],
-    }
-
-
-def cashflow_summary(txns: list[Transaction], year: int | None = None) -> dict:
-    inflows = Decimal(0)
-    outflows = Decimal(0)
-    by_cat: dict[str, Decimal] = defaultdict(Decimal)
-    monthly: dict[str, dict[str, Decimal]] = defaultdict(lambda: {"in": Decimal(0), "out": Decimal(0)})
-
-    inflow_types = {TransactionType.DEPOSIT, TransactionType.DIVIDEND, TransactionType.COUPON}
-    outflow_types = {TransactionType.WITHDRAWAL, TransactionType.SPENDING, TransactionType.FEE}
-
-    for t in txns:
-        if year and t.occurred_at.year != year:
-            continue
-        amt = abs(_d(t.amount))
-        month = t.occurred_at.strftime("%Y-%m")
-        if t.transaction_type in inflow_types:
-            inflows += amt
-            by_cat[f"in:{t.transaction_type.value}"] += amt
-            monthly[month]["in"] += amt
-        elif t.transaction_type in outflow_types:
-            outflows += amt
-            label = t.category or t.transaction_type.value
-            by_cat[f"out:{label}"] += amt
-            monthly[month]["out"] += amt
-
-    return {
-        "inflows": inflows,
-        "outflows": outflows,
-        "net": inflows - outflows,
-        "by_category": {k: v for k, v in by_cat.items()},
-        "monthly": [
-            {"month": m, "inflow": float(v["in"]), "outflow": float(v["out"])}
-            for m, v in sorted(monthly.items())
-        ],
-    }
-
-
-def portfolio_metrics(txns: list[Transaction], prices: dict[str, Decimal]) -> dict:
-    if not txns:
-        return {
-            "positions": {},
-            "market_values": {},
-            "allocation": {},
-            "total_market_value": Decimal(0),
-            "total_cost_basis": Decimal(0),
-            "unrealized_pnl": Decimal(0),
-            "unrealized_pnl_pct": 0.0,
-            "realized_pnl": Decimal(0),
-            "cash_balance": Decimal(0),
-            "twr_ytd": None,
-            "twr_since_inception": None,
-            "irr_since_inception": None,
-        }
-
-    txns_sorted = sorted(txns, key=lambda t: t.occurred_at)
-    positions = aggregate_positions(txns_sorted)
-    mv = market_value(positions, prices)
-    alloc = allocation(mv)
-    total_mv = sum(mv.values(), Decimal(0))
-    total_cost = sum((p["cost_basis"] for p in positions.values()), Decimal(0))
-    unrealized = total_mv - total_cost
-    unrealized_pct = float(unrealized / total_cost) if total_cost > 0 else 0.0
-    realized = total_realized_pnl(positions)
-    cash = cash_balance(txns_sorted)
-
-    inception = txns_sorted[0].occurred_at
-    now = datetime.utcnow()
-    ytd_start = datetime(now.year, 1, 1)
-
-    end_value = total_mv + cash
-    cf_all = _build_cashflows(txns_sorted)
-    cf_ytd = _build_cashflows(txns_sorted, start=ytd_start)
-
-    twr_inception = modified_dietz(Decimal(0), end_value, cf_all, inception, now)
-    twr_ytd = modified_dietz(Decimal(0), end_value, cf_ytd, ytd_start, now) if cf_ytd else None
-    irr_val = irr(cf_all, end_value, now)
-
-    return {
-        "positions": positions,
-        "market_values": mv,
-        "allocation": alloc,
-        "total_market_value": total_mv,
-        "total_cost_basis": total_cost,
-        "unrealized_pnl": unrealized,
-        "unrealized_pnl_pct": unrealized_pct,
-        "realized_pnl": realized,
-        "cash_balance": cash,
-        "twr_ytd": twr_ytd,
-        "twr_since_inception": twr_inception,
-        "irr_since_inception": irr_val,
-    }
--- a/backend/app/classifier.py
+++ b/backend/app/classifier.py
@ -1,64 +0,0 @@
-"""Rule-based transaction classifier.
-
-Maps raw broker/bank rows to canonical TransactionType. Operates on
-normalized lower-case description + amount sign + quantity presence.
-"""
-from __future__ import annotations
-
-from decimal import Decimal
-
-from .models import TransactionType
-
-RULES: list[tuple[tuple[str, ...], TransactionType]] = [
-    (("dividend", "div ", "div.", "cash div", "qualified div"), TransactionType.DIVIDEND),
-    (("coupon", "bond interest", "interest payment"), TransactionType.COUPON),
-    (("buy", "purchase securities", "купля", "покупка ц/б"), TransactionType.BUY),
-    (("sell", "sale of securities", "продажа ц/б"), TransactionType.SELL),
-    (("deposit", "wire in", "funding", "ввод средств"), TransactionType.DEPOSIT),
-    (("withdraw", "wire out", "cash withdrawal", "вывод средств"), TransactionType.WITHDRAWAL),
-    (("card purchase", "pos ", "merchant", "card "), TransactionType.SPENDING),
-    (("transfer", "перевод", "internal mvmt"), TransactionType.TRANSFER),
-    (("fx", "currency conversion", "конверсия"), TransactionType.FX),
-    (("fee", "commission", "комиссия"), TransactionType.FEE),
-]
-
-
-def classify(description: str | None, raw_type: str | None, amount: Decimal, quantity: Decimal) -> TransactionType:
-    haystack = " ".join(filter(None, [(description or ""), (raw_type or "")])).lower().strip()
-
-    for keywords, ttype in RULES:
-        if any(kw in haystack for kw in keywords):
-            return ttype
-
-    if quantity and quantity > 0 and amount < 0:
-        return TransactionType.BUY
-    if quantity and quantity > 0 and amount > 0:
-        return TransactionType.SELL
-    if not quantity and amount > 0:
-        return TransactionType.DEPOSIT
-    if not quantity and amount < 0:
-        return TransactionType.SPENDING
-
-    return TransactionType.UNKNOWN
-
-
-SPENDING_CATEGORIES: list[tuple[tuple[str, ...], str]] = [
-    (("uber", "lyft", "taxi", "metro", "bolt"), "transport"),
-    (("airline", "hotel", "booking", "airbnb", "expedia"), "travel"),
-    (("restaurant", "cafe", "starbucks", "mcdonald", "kfc", "dining"), "restaurants"),
-    (("amazon", "shop", "store", "zara", "h&m", "apple store"), "shopping"),
-    (("netflix", "spotify", "subscription", "icloud", "google one"), "subscriptions"),
-    (("pharmacy", "clinic", "hospital", "doctor", "medical"), "healthcare"),
-    (("school", "tuition", "course", "udemy", "coursera"), "education"),
-    (("gucci", "louis vuitton", "rolex", "chanel"), "luxury"),
-]
-
-
-def classify_spending_category(description: str | None) -> str | None:
-    if not description:
-        return None
-    text = description.lower()
-    for keywords, category in SPENDING_CATEGORIES:
-        if any(kw in text for kw in keywords):
-            return category
-    return "other"
--- a/backend/app/config.py
+++ b/backend/app/config.py
@ -1,13 +0,0 @@
-from pydantic_settings import BaseSettings
-
-
-class Settings(BaseSettings):
-    database_url: str = "sqlite:///./atlas.db"
-    cors_origins: list[str] = ["http://localhost:3000"]
-    default_user_email: str = "demo@atlas.local"
-
-    class Config:
-        env_file = ".env"
-
-
-settings = Settings()
--- a/backend/app/db.py
+++ b/backend/app/db.py
@ -1,22 +0,0 @@
-from sqlalchemy import create_engine
-from sqlalchemy.orm import DeclarativeBase, sessionmaker
-
-from .config import settings
-
-engine = create_engine(
-    settings.database_url,
-    connect_args={"check_same_thread": False} if settings.database_url.startswith("sqlite") else {},
-)
-SessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False)
-
-
-class Base(DeclarativeBase):
-    pass
-
-
-def get_db():
-    db = SessionLocal()
-    try:
-        yield db
-    finally:
-        db.close()
--- a/backend/app/deps.py
+++ b/backend/app/deps.py
@ -1,14 +0,0 @@
-from fastapi import Depends
-from sqlalchemy.orm import Session
-
-from .config import settings
-from .db import get_db
-from .models import User
-from .services import get_or_create_demo_user
-
-
-def current_user(db: Session = Depends(get_db)) -> User:
-    """MVP: single demo user. JWT auth (TRD §13) is Phase 2."""
-    user = get_or_create_demo_user(db, settings.default_user_email)
-    db.commit()
-    return user
--- a/backend/app/main.py
+++ b/backend/app/main.py
@ -1,35 +0,0 @@
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-
-from .config import settings
-from .db import Base, engine
-from .routes import accounts, cashflow, copilot, dashboard, portfolio, transactions, upload
-
-Base.metadata.create_all(bind=engine)
-
-app = FastAPI(
-    title="Atlas AI Wealth API",
-    version="0.1.0",
-    description="AI-native wealth platform — vertical slice MVP (TRD §1-§9, §12 stub).",
-)
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=settings.cors_origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-app.include_router(upload.router)
-app.include_router(accounts.router)
-app.include_router(transactions.router)
-app.include_router(portfolio.router)
-app.include_router(cashflow.router)
-app.include_router(dashboard.router)
-app.include_router(copilot.router)
-
-
-@app.get("/health")
-def health():
-    return {"status": "ok", "service": "atlas-ai-wealth"}
--- a/backend/app/market_data.py
+++ b/backend/app/market_data.py
@ -1,27 +0,0 @@
-"""Market data stub.
-
-TRD §10 calls for Yahoo/AlphaVantage/Polygon. MVP uses a stub that
-returns last-known cost as price. Wire a real fetcher (yfinance) here
-when network access is available.
-"""
-from __future__ import annotations
-
-from decimal import Decimal
-
-
-_FALLBACK_PRICES: dict[str, Decimal] = {
-    "AAPL": Decimal("212.50"),
-    "MSFT": Decimal("428.00"),
-    "NVDA": Decimal("128.40"),
-    "GOOGL": Decimal("178.20"),
-    "TSLA": Decimal("245.00"),
-    "SPY": Decimal("568.00"),
-    "QQQ": Decimal("498.00"),
-    "BTC": Decimal("68500.00"),
-    "ETH": Decimal("3450.00"),
-}
-
-
-def get_prices(assets: list[str], avg_cost_fallback: dict[str, Decimal] | None = None) -> dict[str, Decimal]:
-    fallback = avg_cost_fallback or {}
-    return {a: _FALLBACK_PRICES.get(a, fallback.get(a, Decimal(0))) for a in assets}
--- a/backend/app/models.py
+++ b/backend/app/models.py
@ -1,81 +0,0 @@
-import enum
-import uuid
-from datetime import datetime
-from decimal import Decimal
-
-from sqlalchemy import DateTime, Enum, ForeignKey, Numeric, String, func
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-
-from .db import Base
-
-
-def gen_uuid() -> str:
-    return str(uuid.uuid4())
-
-
-class TransactionType(str, enum.Enum):
-    BUY = "BUY"
-    SELL = "SELL"
-    DIVIDEND = "DIVIDEND"
-    COUPON = "COUPON"
-    DEPOSIT = "DEPOSIT"
-    WITHDRAWAL = "WITHDRAWAL"
-    SPENDING = "SPENDING"
-    TRANSFER = "TRANSFER"
-    FX = "FX"
-    FEE = "FEE"
-    UNKNOWN = "UNKNOWN"
-
-
-class User(Base):
-    __tablename__ = "users"
-
-    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=gen_uuid)
-    email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
-    created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
-
-    accounts: Mapped[list["Account"]] = relationship(back_populates="user", cascade="all, delete-orphan")
-
-
-class Account(Base):
-    __tablename__ = "accounts"
-
-    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=gen_uuid)
-    user_id: Mapped[str] = mapped_column(ForeignKey("users.id"), index=True)
-    broker_name: Mapped[str] = mapped_column(String(120))
-    currency: Mapped[str] = mapped_column(String(8), default="USD")
-    created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
-
-    user: Mapped[User] = relationship(back_populates="accounts")
-    transactions: Mapped[list["Transaction"]] = relationship(back_populates="account", cascade="all, delete-orphan")
-
-
-class Transaction(Base):
-    __tablename__ = "transactions"
-
-    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=gen_uuid)
-    account_id: Mapped[str] = mapped_column(ForeignKey("accounts.id"), index=True)
-    occurred_at: Mapped[datetime] = mapped_column(DateTime, index=True)
-    transaction_type: Mapped[TransactionType] = mapped_column(Enum(TransactionType), default=TransactionType.UNKNOWN)
-    asset: Mapped[str | None] = mapped_column(String(64), nullable=True)
-    quantity: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    amount: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    currency: Mapped[str] = mapped_column(String(8), default="USD")
-    fee: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    category: Mapped[str | None] = mapped_column(String(64), nullable=True)
-    description: Mapped[str | None] = mapped_column(String(512), nullable=True)
-    created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
-
-    account: Mapped[Account] = relationship(back_populates="transactions")
-
-
-class Position(Base):
-    __tablename__ = "positions"
-
-    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=gen_uuid)
-    account_id: Mapped[str] = mapped_column(ForeignKey("accounts.id"), index=True)
-    asset: Mapped[str] = mapped_column(String(64), index=True)
-    quantity: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    avg_cost: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    market_price: Mapped[Decimal] = mapped_column(Numeric(24, 8), default=0)
-    updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now())
--- a/backend/app/parser.py
+++ b/backend/app/parser.py
@ -1,142 +0,0 @@
-"""Excel/CSV broker statement parser.
-
-Handles multi-sheet XLSX with inconsistent headers. Maps free-form column
-names to a canonical schema via fuzzy header matching.
-"""
-from __future__ import annotations
-
-from dataclasses import dataclass
-from datetime import datetime
-from decimal import Decimal, InvalidOperation
-from io import BytesIO
-from typing import Iterable
-
-import pandas as pd
-
-CANONICAL_HEADERS: dict[str, tuple[str, ...]] = {
-    "occurred_at": ("date", "datetime", "trade date", "settle date", "дата", "operation date"),
-    "transaction_type": ("type", "transaction type", "operation", "тип операции", "action"),
-    "asset": ("asset", "ticker", "symbol", "instrument", "тикер", "security"),
-    "quantity": ("quantity", "qty", "shares", "количество", "amount of units"),
-    "amount": ("amount", "value", "total", "сумма", "net amount", "cash"),
-    "currency": ("currency", "ccy", "валюта"),
-    "fee": ("fee", "commission", "комиссия", "broker fee"),
-    "description": ("description", "details", "narration", "memo", "комментарий", "purpose"),
-}
-
-
-@dataclass
-class ParsedRow:
-    occurred_at: datetime
-    transaction_type: str | None
-    asset: str | None
-    quantity: Decimal
-    amount: Decimal
-    currency: str
-    fee: Decimal
-    description: str | None
-
-
-def _norm(s: str) -> str:
-    return str(s).strip().lower()
-
-
-def _match_header(col: str) -> str | None:
-    norm = _norm(col)
-    for canonical, aliases in CANONICAL_HEADERS.items():
-        if norm == canonical:
-            return canonical
-        if any(alias in norm for alias in aliases):
-            return canonical
-    return None
-
-
-def _to_decimal(v) -> Decimal:
-    if v is None or (isinstance(v, float) and pd.isna(v)):
-        return Decimal(0)
-    if isinstance(v, Decimal):
-        return v
-    try:
-        s = str(v).replace(" ", "").replace(",", ".").replace("\xa0", "")
-        if s in ("", "-", "nan"):
-            return Decimal(0)
-        return Decimal(s)
-    except (InvalidOperation, ValueError):
-        return Decimal(0)
-
-
-def _to_datetime(v) -> datetime | None:
-    if v is None or (isinstance(v, float) and pd.isna(v)):
-        return None
-    if isinstance(v, datetime):
-        return v
-    try:
-        return pd.to_datetime(v, dayfirst=False, errors="coerce").to_pydatetime()
-    except Exception:
-        return None
-
-
-def _read_sheets(content: bytes, filename: str) -> dict[str, pd.DataFrame]:
-    if filename.lower().endswith(".csv"):
-        return {"sheet1": pd.read_csv(BytesIO(content))}
-    return pd.read_excel(BytesIO(content), sheet_name=None, engine="openpyxl")
-
-
-def detect_broker(sheets: dict[str, pd.DataFrame]) -> str:
-    blob = " ".join(s for s in sheets.keys()).lower()
-    for df in sheets.values():
-        blob += " " + " ".join(map(_norm, df.columns.astype(str)))
-    if "interactive brokers" in blob or "ibkr" in blob:
-        return "Interactive Brokers"
-    if "freedom" in blob:
-        return "Freedom Finance"
-    if "halyk" in blob:
-        return "Halyk Finance"
-    if "binance" in blob:
-        return "Binance"
-    if "kaspi" in blob:
-        return "Kaspi"
-    if "schwab" in blob:
-        return "Charles Schwab"
-    return "Generic Broker"
-
-
-def _map_columns(df: pd.DataFrame) -> tuple[pd.DataFrame, dict[str, str]]:
-    mapping: dict[str, str] = {}
-    for col in df.columns:
-        canonical = _match_header(str(col))
-        if canonical and canonical not in mapping.values():
-            mapping[str(col)] = canonical
-    renamed = df.rename(columns=mapping)
-    return renamed, mapping
-
-
-def parse(content: bytes, filename: str) -> tuple[list[ParsedRow], str]:
-    sheets = _read_sheets(content, filename)
-    broker = detect_broker(sheets)
-    rows: list[ParsedRow] = []
-
-    for df in sheets.values():
-        if df.empty:
-            continue
-        mapped, mapping = _map_columns(df)
-        if "occurred_at" not in mapping.values() or "amount" not in mapping.values():
-            continue
-        for _, r in mapped.iterrows():
-            dt = _to_datetime(r.get("occurred_at"))
-            if dt is None:
-                continue
-            rows.append(
-                ParsedRow(
-                    occurred_at=dt,
-                    transaction_type=str(r["transaction_type"]) if "transaction_type" in r else None,
-                    asset=str(r["asset"]).strip() if "asset" in r and pd.notna(r.get("asset")) else None,
-                    quantity=_to_decimal(r.get("quantity")),
-                    amount=_to_decimal(r.get("amount")),
-                    currency=str(r["currency"]).strip().upper() if "currency" in r and pd.notna(r.get("currency")) else "USD",
-                    fee=_to_decimal(r.get("fee")),
-                    description=str(r["description"]) if "description" in r and pd.notna(r.get("description")) else None,
-                )
-            )
-
-    return rows, broker
--- a/backend/app/routes/init.py
+++ b/backend/app/routes/init.py
--- a/backend/app/routes/accounts.py
+++ b/backend/app/routes/accounts.py
@ -1,14 +0,0 @@
-from fastapi import APIRouter, Depends
-from sqlalchemy.orm import Session
-
-from ..db import get_db
-from ..deps import current_user
-from ..models import Account, User
-from ..schemas import AccountOut
-
-router = APIRouter(prefix="/accounts", tags=["accounts"])
-
-
-@router.get("", response_model=list[AccountOut])
-def list_accounts(db: Session = Depends(get_db), user: User = Depends(current_user)):
-    return db.query(Account).filter(Account.user_id == user.id).all()
--- a/backend/app/routes/cashflow.py
+++ b/backend/app/routes/cashflow.py
@ -1,31 +0,0 @@
-from datetime import datetime
-
-from fastapi import APIRouter, Depends, Query
-from sqlalchemy.orm import Session
-
-from .. import analytics
-from ..db import get_db
-from ..deps import current_user
-from ..models import User
-from ..schemas import CashFlowSummary, DividendSummary
-from ..services import user_transactions
-
-router = APIRouter(prefix="/cashflow", tags=["cashflow"])
-
-
-@router.get("/summary", response_model=CashFlowSummary)
-def cashflow(year: int | None = Query(default=None), db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    return analytics.cashflow_summary(txns, year=year)
-
-
-@router.get("/spending")
-def spending(year: int | None = Query(default=None), db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    return analytics.spending_summary(txns, year=year)
-
-
-@router.get("/dividends", response_model=DividendSummary)
-def dividends(year: int | None = Query(default=None), db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    return analytics.dividend_summary(txns, year=year)
--- a/backend/app/routes/copilot.py
+++ b/backend/app/routes/copilot.py
@ -1,91 +0,0 @@
-"""AI Copilot stub.
-
-TRD §12 RAG pipeline (retrieve portfolio + market context → LLM). MVP
-returns templated insights computed from portfolio analytics. Plug in
-OpenAI/Anthropic via the `generate_answer` function when keys are set.
-"""
-from __future__ import annotations
-
-from decimal import Decimal
-
-from fastapi import APIRouter, Depends
-from pydantic import BaseModel
-from sqlalchemy.orm import Session
-
-from .. import analytics, market_data
-from ..db import get_db
-from ..deps import current_user
-from ..models import User
-from ..services import user_transactions
-
-router = APIRouter(prefix="/copilot", tags=["copilot"])
-
-
-class Query(BaseModel):
-    question: str
-
-
-class Answer(BaseModel):
-    answer: str
-    context: dict
-
-
-def _fmt_pct(v: float | None) -> str:
-    return f"{v * 100:+.2f}%" if v is not None else "—"
-
-
-def _fmt_money(v: Decimal | float) -> str:
-    return f"${float(v):,.2f}"
-
-
-@router.post("/ask", response_model=Answer)
-def ask(query: Query, db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    pos_book = analytics.aggregate_positions(txns)
-    avg_costs = {a: p["avg_cost"] for a, p in pos_book.items()}
-    prices = market_data.get_prices(list(pos_book.keys()), avg_costs)
-    m = analytics.portfolio_metrics(txns, prices)
-    sp = analytics.spending_summary(txns)
-    dv = analytics.dividend_summary(txns)
-
-    q = query.question.lower()
-    parts: list[str] = []
-
-    if "perform" in q or "доходность" in q or "return" in q:
-        parts.append(
-            f"Portfolio TWR YTD: {_fmt_pct(m['twr_ytd'])}. "
-            f"Since inception: {_fmt_pct(m['twr_since_inception'])}. "
-            f"IRR: {_fmt_pct(m['irr_since_inception'])}. "
-            f"Unrealized PnL: {_fmt_money(m['unrealized_pnl'])} ({_fmt_pct(m['unrealized_pnl_pct'])})."
-        )
-    if "spend" in q or "трат" in q or "expense" in q:
-        top_cat = max(sp["by_category"].items(), key=lambda kv: kv[1], default=("—", Decimal(0)))
-        parts.append(
-            f"YTD spending: {_fmt_money(sp['total'])}. Top category: {top_cat[0]} ({_fmt_money(top_cat[1])})."
-        )
-    if "divid" in q or "passive" in q or "coupon" in q or "пассив" in q:
-        cov = float(dv["total"] / sp["total"]) if sp["total"] > 0 else 0.0
-        parts.append(
-            f"Passive income YTD: {_fmt_money(dv['total'])}. Covers {cov * 100:.1f}% of spending."
-        )
-    if "risk" in q or "concentr" in q or "риск" in q:
-        if m["allocation"]:
-            top_asset, share = max(m["allocation"].items(), key=lambda kv: kv[1])
-            parts.append(f"Concentration risk: {top_asset} = {share * 100:.1f}% of portfolio.")
-
-    if not parts:
-        parts.append(
-            f"Net worth {_fmt_money(m['total_market_value'] + m['cash_balance'])}. "
-            f"Portfolio {_fmt_money(m['total_market_value'])}, cash {_fmt_money(m['cash_balance'])}. "
-            f"TWR YTD {_fmt_pct(m['twr_ytd'])}."
-        )
-
-    return Answer(
-        answer=" ".join(parts),
-        context={
-            "twr_ytd": m["twr_ytd"],
-            "spending_ytd": float(sp["total"]),
-            "dividends_ytd": float(dv["total"]),
-            "positions": len(m["positions"]),
-        },
-    )
--- a/backend/app/routes/dashboard.py
+++ b/backend/app/routes/dashboard.py
@ -1,58 +0,0 @@
-from datetime import datetime
-from decimal import Decimal
-
-from fastapi import APIRouter, Depends
-from sqlalchemy.orm import Session
-
-from .. import analytics, market_data
-from ..db import get_db
-from ..deps import current_user
-from ..models import User
-from ..schemas import DashboardResponse, PositionOut
-from ..services import user_transactions
-
-router = APIRouter(prefix="/dashboard", tags=["dashboard"])
-
-
-@router.get("", response_model=DashboardResponse)
-def get_dashboard(db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    now = datetime.utcnow()
-    year = now.year
-
-    pos_book = analytics.aggregate_positions(txns)
-    avg_costs = {a: p["avg_cost"] for a, p in pos_book.items()}
-    prices = market_data.get_prices(list(pos_book.keys()), avg_costs)
-
-    metrics = analytics.portfolio_metrics(txns, prices)
-    spend = analytics.spending_summary(txns, year=year)
-    spend_mtd = Decimal(0)
-    mtd_key = now.strftime("%Y-%m")
-    for m in spend["monthly"]:
-        if m["month"] == mtd_key:
-            spend_mtd = Decimal(str(m["amount"]))
-            break
-    divs = analytics.dividend_summary(txns, year=year)
-
-    top: list[PositionOut] = []
-    for a, p in metrics["positions"].items():
-        price = prices.get(a, p["avg_cost"])
-        mv = p["quantity"] * price
-        pnl = mv - p["cost_basis"]
-        pct = float(pnl / p["cost_basis"]) if p["cost_basis"] > 0 else 0.0
-        top.append(PositionOut(
-            asset=a, quantity=p["quantity"], avg_cost=p["avg_cost"],
-            market_price=price, market_value=mv, unrealized_pnl=pnl, unrealized_pnl_pct=pct,
-        ))
-    top.sort(key=lambda x: float(x.market_value), reverse=True)
-
-    return DashboardResponse(
-        net_worth=metrics["total_market_value"] + metrics["cash_balance"],
-        portfolio_value=metrics["total_market_value"],
-        cash_balance=metrics["cash_balance"],
-        spending_mtd=spend_mtd,
-        spending_ytd=spend["total"],
-        passive_income_ytd=divs["total"],
-        performance_ytd=metrics["twr_ytd"],
-        top_positions=top[:5],
-    )
--- a/backend/app/routes/portfolio.py
+++ b/backend/app/routes/portfolio.py
@ -1,56 +0,0 @@
-from decimal import Decimal
-
-from fastapi import APIRouter, Depends
-from sqlalchemy.orm import Session
-
-from .. import analytics, market_data
-from ..db import get_db
-from ..deps import current_user
-from ..models import User
-from ..schemas import PortfolioMetrics, PositionOut
-from ..services import user_transactions
-
-router = APIRouter(prefix="/portfolio", tags=["portfolio"])
-
-
-def _to_position_out(asset: str, p: dict, price: Decimal) -> PositionOut:
-    qty = p["quantity"]
-    mv = qty * price
-    pnl = mv - p["cost_basis"]
-    pct = float(pnl / p["cost_basis"]) if p["cost_basis"] > 0 else 0.0
-    return PositionOut(
-        asset=asset,
-        quantity=qty,
-        avg_cost=p["avg_cost"],
-        market_price=price,
-        market_value=mv,
-        unrealized_pnl=pnl,
-        unrealized_pnl_pct=pct,
-    )
-
-
-@router.get("/metrics", response_model=PortfolioMetrics)
-def get_metrics(db: Session = Depends(get_db), user: User = Depends(current_user)):
-    txns = user_transactions(db, user)
-    pos_book = analytics.aggregate_positions(txns)
-    avg_costs = {a: p["avg_cost"] for a, p in pos_book.items()}
-    prices = market_data.get_prices(list(pos_book.keys()), avg_costs)
-
-    metrics = analytics.portfolio_metrics(txns, prices)
-
-    positions = [_to_position_out(a, p, prices.get(a, p["avg_cost"])) for a, p in metrics["positions"].items()]
-    positions.sort(key=lambda x: float(x.market_value), reverse=True)
-
-    return PortfolioMetrics(
-        total_market_value=metrics["total_market_value"],
-        total_cost_basis=metrics["total_cost_basis"],
-        unrealized_pnl=metrics["unrealized_pnl"],
-        unrealized_pnl_pct=metrics["unrealized_pnl_pct"],
-        realized_pnl=metrics["realized_pnl"],
-        cash_balance=metrics["cash_balance"],
-        twr_ytd=metrics["twr_ytd"],
-        twr_since_inception=metrics["twr_since_inception"],
-        irr_since_inception=metrics["irr_since_inception"],
-        positions=positions,
-        allocation=metrics["allocation"],
-    )
--- a/backend/app/routes/transactions.py
+++ b/backend/app/routes/transactions.py
@ -1,30 +0,0 @@
-from fastapi import APIRouter, Depends, Query
-from sqlalchemy.orm import Session
-
-from ..db import get_db
-from ..deps import current_user
-from ..models import TransactionType, User
-from ..schemas import TransactionOut
-from ..services import user_transactions
-
-router = APIRouter(prefix="/transactions", tags=["transactions"])
-
-
-@router.get("", response_model=list[TransactionOut])
-def list_transactions(
-    transaction_type: TransactionType | None = Query(default=None),
-    asset: str | None = Query(default=None),
-    q: str | None = Query(default=None, description="Free-text search in description"),
-    limit: int = Query(default=500, le=5000),
-    db: Session = Depends(get_db),
-    user: User = Depends(current_user),
-):
-    txns = user_transactions(db, user)
-    if transaction_type:
-        txns = [t for t in txns if t.transaction_type == transaction_type]
-    if asset:
-        txns = [t for t in txns if (t.asset or "").upper() == asset.upper()]
-    if q:
-        needle = q.lower()
-        txns = [t for t in txns if needle in (t.description or "").lower()]
-    return txns[:limit]
--- a/backend/app/routes/upload.py
+++ b/backend/app/routes/upload.py
@ -1,29 +0,0 @@
-from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
-from sqlalchemy.orm import Session
-
-from ..db import get_db
-from ..deps import current_user
-from ..models import User
-from ..schemas import UploadResult
-from ..services import import_file
-
-router = APIRouter(prefix="/upload", tags=["upload"])
-
-ALLOWED_EXT = (".xlsx", ".xls", ".csv")
-
-
-@router.post("", response_model=UploadResult)
-async def upload_statement(
-    file: UploadFile = File(...),
-    db: Session = Depends(get_db),
-    user: User = Depends(current_user),
-):
-    if not file.filename or not file.filename.lower().endswith(ALLOWED_EXT):
-        raise HTTPException(400, f"Unsupported file type. Allowed: {ALLOWED_EXT}")
-    content = await file.read()
-    if not content:
-        raise HTTPException(400, "Empty file")
-    try:
-        return import_file(db, user, content, file.filename)
-    except Exception as e:
-        raise HTTPException(422, f"Parse failed: {e}") from e
--- a/backend/app/schemas.py
+++ b/backend/app/schemas.py
@ -1,89 +0,0 @@
-from datetime import datetime
-from decimal import Decimal
-
-from pydantic import BaseModel, ConfigDict
-
-from .models import TransactionType
-
-
-class TransactionOut(BaseModel):
-    model_config = ConfigDict(from_attributes=True)
-
-    id: str
-    account_id: str
-    occurred_at: datetime
-    transaction_type: TransactionType
-    asset: str | None
-    quantity: Decimal
-    amount: Decimal
-    currency: str
-    fee: Decimal
-    category: str | None
-    description: str | None
-
-
-class PositionOut(BaseModel):
-    model_config = ConfigDict(from_attributes=True)
-
-    asset: str
-    quantity: Decimal
-    avg_cost: Decimal
-    market_price: Decimal
-    market_value: Decimal
-    unrealized_pnl: Decimal
-    unrealized_pnl_pct: float
-
-
-class AccountOut(BaseModel):
-    model_config = ConfigDict(from_attributes=True)
-
-    id: str
-    broker_name: str
-    currency: str
-
-
-class UploadResult(BaseModel):
-    account_id: str
-    rows_parsed: int
-    rows_imported: int
-    rows_skipped: int
-    detected_broker: str
-
-
-class PortfolioMetrics(BaseModel):
-    total_market_value: Decimal
-    total_cost_basis: Decimal
-    unrealized_pnl: Decimal
-    unrealized_pnl_pct: float
-    realized_pnl: Decimal
-    cash_balance: Decimal
-    twr_ytd: float | None
-    twr_since_inception: float | None
-    irr_since_inception: float | None
-    positions: list[PositionOut]
-    allocation: dict[str, float]
-
-
-class CashFlowSummary(BaseModel):
-    inflows: Decimal
-    outflows: Decimal
-    net: Decimal
-    by_category: dict[str, Decimal]
-    monthly: list[dict]
-
-
-class DividendSummary(BaseModel):
-    total: Decimal
-    by_asset: dict[str, Decimal]
-    by_month: list[dict]
-
-
-class DashboardResponse(BaseModel):
-    net_worth: Decimal
-    portfolio_value: Decimal
-    cash_balance: Decimal
-    spending_mtd: Decimal
-    spending_ytd: Decimal
-    passive_income_ytd: Decimal
-    performance_ytd: float | None
-    top_positions: list[PositionOut]
--- a/backend/app/services.py
+++ b/backend/app/services.py
@ -1,94 +0,0 @@
-"""Service layer: stitches parser + classifier + persistence."""
-from __future__ import annotations
-
-from decimal import Decimal
-
-from sqlalchemy.orm import Session
-
-from .classifier import classify, classify_spending_category
-from .models import Account, Transaction, TransactionType, User
-from .parser import ParsedRow, parse
-
-
-def get_or_create_demo_user(db: Session, email: str) -> User:
-    user = db.query(User).filter(User.email == email).first()
-    if user:
-        return user
-    user = User(email=email)
-    db.add(user)
-    db.flush()
-    return user
-
-
-def get_or_create_account(db: Session, user: User, broker: str, currency: str = "USD") -> Account:
-    acc = (
-        db.query(Account)
-        .filter(Account.user_id == user.id, Account.broker_name == broker)
-        .first()
-    )
-    if acc:
-        return acc
-    acc = Account(user_id=user.id, broker_name=broker, currency=currency)
-    db.add(acc)
-    db.flush()
-    return acc
-
-
-def import_file(db: Session, user: User, content: bytes, filename: str) -> dict:
-    rows, broker = parse(content, filename)
-    account = get_or_create_account(db, user, broker)
-
-    imported = 0
-    skipped = 0
-    for r in rows:
-        ttype = classify(r.description, r.transaction_type, r.amount, r.quantity)
-        category = classify_spending_category(r.description) if ttype == TransactionType.SPENDING else None
-
-        exists = (
-            db.query(Transaction)
-            .filter(
-                Transaction.account_id == account.id,
-                Transaction.occurred_at == r.occurred_at,
-                Transaction.amount == r.amount,
-                Transaction.asset == r.asset,
-            )
-            .first()
-        )
-        if exists:
-            skipped += 1
-            continue
-
-        db.add(
-            Transaction(
-                account_id=account.id,
-                occurred_at=r.occurred_at,
-                transaction_type=ttype,
-                asset=r.asset,
-                quantity=r.quantity,
-                amount=r.amount,
-                currency=r.currency,
-                fee=r.fee,
-                category=category,
-                description=r.description,
-            )
-        )
-        imported += 1
-
-    db.commit()
-    return {
-        "account_id": account.id,
-        "rows_parsed": len(rows),
-        "rows_imported": imported,
-        "rows_skipped": skipped,
-        "detected_broker": broker,
-    }
-
-
-def user_transactions(db: Session, user: User) -> list[Transaction]:
-    return (
-        db.query(Transaction)
-        .join(Account, Account.id == Transaction.account_id)
-        .filter(Account.user_id == user.id)
-        .order_by(Transaction.occurred_at.desc())
-        .all()
-    )
--- a/backend/requirements.txt
+++ b/backend/requirements.txt
@ -1,10 +0,0 @@
-fastapi==0.115.0
-uvicorn[standard]==0.32.0
-sqlalchemy==2.0.36
-pydantic==2.9.2
-pydantic-settings==2.6.1
-python-multipart==0.0.12
-pandas==2.2.3
-openpyxl==3.1.5
-numpy==2.1.3
-python-dateutil==2.9.0
--- a/backend/scripts/generate_sample.py
+++ b/backend/scripts/generate_sample.py
@ -1,69 +0,0 @@
-"""Generate a sample broker statement XLSX with mixed transaction types.
-
-Run: python -m scripts.generate_sample
-Produces: ./sample_broker_statement.xlsx
-"""
-from __future__ import annotations
-
-from datetime import datetime, timedelta
-from pathlib import Path
-
-import pandas as pd
-
-OUT = Path(__file__).resolve().parent.parent / "sample_broker_statement.xlsx"
-
-
-def main() -> None:
-    base = datetime(2024, 1, 5)
-
-    trades = [
-        # date, type, asset, qty, amount, ccy, fee, description
-        (base, "BUY", "AAPL", 50, -9200.00, "USD", 1.00, "Interactive Brokers — BUY AAPL"),
-        (base + timedelta(days=10), "BUY", "MSFT", 20, -7400.00, "USD", 1.00, "BUY MSFT"),
-        (base + timedelta(days=30), "BUY", "NVDA", 30, -2700.00, "USD", 1.00, "BUY NVDA"),
-        (base + timedelta(days=45), "DIVIDEND", "AAPL", 0, 36.00, "USD", 0, "Cash DIVIDEND AAPL"),
-        (base + timedelta(days=70), "BUY", "SPY", 15, -7200.00, "USD", 1.00, "BUY SPY"),
-        (base + timedelta(days=90), "DIVIDEND", "MSFT", 0, 18.00, "USD", 0, "Qualified DIV MSFT"),
-        (base + timedelta(days=120), "SELL", "AAPL", 10, 2100.00, "USD", 1.00, "SELL AAPL"),
-        (base + timedelta(days=140), "COUPON", "UST10Y", 0, 220.00, "USD", 0, "Bond interest payment"),
-        (base + timedelta(days=180), "BUY", "GOOGL", 8, -1320.00, "USD", 1.00, "BUY GOOGL"),
-        (base + timedelta(days=210), "DIVIDEND", "SPY", 0, 75.00, "USD", 0, "Cash dividend SPY"),
-        (base + timedelta(days=250), "FEE", None, 0, -15.00, "USD", 0, "Broker commission monthly"),
-        (datetime(2026, 1, 10), "DIVIDEND", "AAPL", 0, 40.00, "USD", 0, "Cash DIVIDEND AAPL"),
-        (datetime(2026, 2, 5), "BUY", "NVDA", 20, -2480.00, "USD", 1.00, "BUY NVDA"),
-        (datetime(2026, 3, 15), "DIVIDEND", "MSFT", 0, 22.00, "USD", 0, "DIV MSFT"),
-        (datetime(2026, 4, 1), "COUPON", "UST10Y", 0, 220.00, "USD", 0, "Bond interest payment"),
-    ]
-    trades_df = pd.DataFrame(
-        trades,
-        columns=["Date", "Type", "Ticker", "Quantity", "Amount", "Currency", "Fee", "Description"],
-    )
-
-    cash = [
-        (datetime(2024, 1, 2), "DEPOSIT", None, 0, 50000.00, "USD", 0, "Wire in funding"),
-        (datetime(2024, 2, 10), "CARD PURCHASE", None, 0, -120.00, "USD", 0, "Starbucks Coffee"),
-        (datetime(2024, 3, 12), "CARD PURCHASE", None, 0, -640.00, "USD", 0, "Amazon online store"),
-        (datetime(2024, 5, 2), "CARD PURCHASE", None, 0, -2200.00, "USD", 0, "Booking Hotel Paris"),
-        (datetime(2024, 6, 18), "CARD PURCHASE", None, 0, -45.00, "USD", 0, "Uber ride"),
-        (datetime(2024, 8, 22), "WITHDRAWAL", None, 0, -3000.00, "USD", 0, "Cash withdrawal ATM"),
-        (datetime(2024, 11, 5), "CARD PURCHASE", None, 0, -300.00, "USD", 0, "Restaurant dining"),
-        (datetime(2026, 1, 20), "CARD PURCHASE", None, 0, -180.00, "USD", 0, "Netflix subscription bundle"),
-        (datetime(2026, 2, 14), "CARD PURCHASE", None, 0, -1500.00, "USD", 0, "Airline ticket"),
-        (datetime(2026, 3, 5), "CARD PURCHASE", None, 0, -90.00, "USD", 0, "Spotify subscription"),
-        (datetime(2026, 4, 8), "CARD PURCHASE", None, 0, -250.00, "USD", 0, "Apple Store purchase"),
-        (datetime(2026, 5, 1), "CARD PURCHASE", None, 0, -420.00, "USD", 0, "Restaurant cafe dinner"),
-    ]
-    cash_df = pd.DataFrame(
-        cash,
-        columns=["Date", "Type", "Ticker", "Quantity", "Amount", "Currency", "Fee", "Description"],
-    )
-
-    with pd.ExcelWriter(OUT, engine="openpyxl") as writer:
-        trades_df.to_excel(writer, sheet_name="Trades — Interactive Brokers", index=False)
-        cash_df.to_excel(writer, sheet_name="Cash & Card", index=False)
-
-    print(f"Wrote {OUT}")
-
-
-if __name__ == "__main__":
-    main()
--- a/executive-os/app.js
+++ b/executive-os/app.js
@ -1,445 +0,0 @@
-// ExecutiveOS AI — vanilla JS SPA (RU UI)
-(function () {
-  "use strict";
-
-  // Локализация ключей → подписи UI
-  const CATEGORY_LABEL = {
-    Approval: "Согласование",
-    Board: "Совет директоров",
-    Escalation: "Эскалация",
-    Financial: "Финансы",
-    Legal: "Правовое",
-    HR: "Кадры",
-    Informational: "Инфо",
-    Urgent: "Срочное"
-  };
-  const RECO_LABEL = {
-    Sign: "Подписать",
-    Approve: "Согласовать",
-    Vote: "Голосовать",
-    Review: "Проверить",
-    Reject: "Отклонить",
-    Escalate: "Эскалировать",
-    Delegate: "Делегировать",
-    Ignore: "Игнорировать"
-  };
-  const PRI_LABEL = {
-    P1: "P1 · Критический",
-    P2: "P2 · Высокий",
-    P3: "P3 · Обычный"
-  };
-  const RESOLVED_LABEL = {
-    "Signed": "Подписано",
-    "Approved": "Согласовано",
-    "Rejected": "Отклонено",
-    "Delegated": "Делегировано",
-    "Escalated": "Эскалировано",
-    "Ignored": "Проигнорировано",
-    "Reviewed": "Просмотрено",
-    "Voted FOR": "Голос ЗА",
-    "Voted AGAINST": "Голос ПРОТИВ",
-    "Done": "Готово"
-  };
-
-  const STATE = {
-    route: "briefing",
-    resolved: {}    // локальное состояние, без backend
-  };
-
-  const D = window.MOCK_DATA;
-
-  // ---------- Утилиты ----------
-  function $(sel, root = document) { return root.querySelector(sel); }
-  function $$(sel, root = document) { return Array.from(root.querySelectorAll(sel)); }
-
-  function fmtAge(days) {
-    if (days <= 0) return "сегодня";
-    if (days === 1) return "1 день назад";
-    if (days >= 2 && days <= 4) return `${days} дня назад`;
-    return `${days} дн. назад`;
-  }
-  function slaState(email) {
-    if (!email.sla_hours) return { label: "—", state: "ok" };
-    const hoursElapsed = email.age_days * 24;
-    const remaining = email.sla_hours - hoursElapsed;
-    if (remaining < 0) return { label: `просрочен на ${Math.abs(remaining).toFixed(0)} ч`, state: "breach" };
-    if (remaining < 12) return { label: `< ${remaining.toFixed(0)} ч`, state: "near" };
-    return { label: `${remaining.toFixed(0)} ч`, state: "ok" };
-  }
-
-  function mount(name) {
-    const tpl = document.getElementById("tpl-" + name);
-    const view = document.getElementById("view");
-    view.innerHTML = "";
-    if (tpl) view.appendChild(tpl.content.cloneNode(true));
-  }
-
-  function navigate(route) {
-    STATE.route = route;
-    $$("#nav button").forEach(b => b.classList.toggle("active", b.dataset.route === route));
-    location.hash = route;
-    if (route === "briefing") renderBriefing();
-    else if (route === "inbox") renderInbox();
-    else if (route === "approvals") renderApprovals();
-    else if (route === "escalations") renderEscalations();
-    else if (route === "search") renderSearch();
-  }
-
-  // ---------- Брифинг ----------
-  function renderBriefing() {
-    mount("briefing");
-    const dateEl = $("#brief-date");
-    dateEl.textContent =
-      `${D.meta.today} · последняя синхронизация ${new Date(D.meta.last_sync).toLocaleString("ru-RU")} · источник: ${D.meta.source}`;
-
-    const emails = D.emails;
-    const critical = emails.filter(e => e.priority === "P1" && e.unread).length;
-    const pending = emails.filter(e => e.action_required && !STATE.resolved[e.id]).length;
-    const boardItems = emails.filter(e => e.category === "Board").length;
-    const slaBreaches = emails.filter(e => slaState(e).state === "breach").length;
-
-    setKpi("critical", critical);
-    setKpi("pending", pending);
-    setKpi("board", boardItems);
-    setKpi("sla", slaBreaches);
-
-    $("#brief-summary").textContent = D.briefing_text;
-
-    const top3 = emails
-      .filter(e => e.action_required && !STATE.resolved[e.id])
-      .sort((a, b) => b.ai_score - a.ai_score)
-      .slice(0, 3);
-    const ol = $("#brief-top3");
-    top3.forEach(e => {
-      const li = document.createElement("li");
-      li.innerHTML = `
-        <div><strong>${escapeHtml(e.subject)}</strong></div>
-        <span class="sub">
-          <span class="pri-${e.priority}" style="font-weight:600">${PRI_LABEL[e.priority]}</span> ·
-          ${escapeHtml(e.from.name)} (${escapeHtml(e.from.title)}) ·
-          AI-балл ${e.ai_score} · рекомендация: <strong>${RECO_LABEL[e.recommendation]}</strong>
-        </span>
-      `;
-      ol.appendChild(li);
-    });
-
-    $("#btn-refresh").onclick = () => {
-      $("#btn-refresh").textContent = "Синхронизация…";
-      setTimeout(() => navigate("briefing"), 400);
-    };
-    $("#btn-mark-read").onclick = () => {
-      D.emails.forEach(e => e.unread = false);
-      navigate("briefing");
-    };
-
-    initCopilot();
-  }
-
-  function setKpi(key, value) {
-    const el = $(`[data-k="${key}"]`);
-    if (el) el.textContent = value;
-  }
-
-  // ---------- AI-копилот ----------
-  const CP_SUGGESTIONS = [
-    "Что требует моей подписи?",
-    "Что просрочено?",
-    "Покажи критические инциденты",
-    "Что готовить к заседанию Совета?",
-    "Что можно делегировать?"
-  ];
-
-  function initCopilot() {
-    const sug = $("#cp-suggest");
-    CP_SUGGESTIONS.forEach(q => {
-      const b = document.createElement("button");
-      b.className = "chip"; b.textContent = q;
-      b.onclick = () => askCopilot(q);
-      sug.appendChild(b);
-    });
-    $("#cp-ask").onclick = () => {
-      const v = $("#cp-input").value.trim();
-      if (v) askCopilot(v);
-    };
-    $("#cp-input").addEventListener("keydown", e => {
-      if (e.key === "Enter") $("#cp-ask").click();
-    });
-  }
-
-  function askCopilot(question) {
-    const q = question.toLowerCase();
-    const out = $("#cp-answer");
-    const items = D.emails;
-    const parts = [];
-
-    const matchSign     = /(подпис|sign|подпишу|sign-off)/i.test(q);
-    const matchOverdue  = /(просроч|overdue|опазд|дедлайн)/i.test(q);
-    const matchUrgent   = /(критич|срочн|urgent|p1|инцидент|p-?1)/i.test(q);
-    const matchBoard    = /(совет|board|заседан|комитет)/i.test(q);
-    const matchDelegate = /(делегир|delegate|раздать|передать)/i.test(q);
-    const matchPriority = /(приоритет|priorit|важн|top|топ)/i.test(q);
-
-    if (matchSign) {
-      const sign = items.filter(e => e.recommendation === "Sign" && !STATE.resolved[e.id]);
-      parts.push(formatList("✍️ Требуют подписи:", sign));
-    }
-    if (matchOverdue) {
-      const over = items.filter(e => slaState(e).state === "breach");
-      parts.push(formatList("⏰ Просрочены по SLA:", over));
-    }
-    if (matchUrgent) {
-      const urg = items.filter(e => e.priority === "P1");
-      parts.push(formatList("🚨 Критические (P1):", urg));
-    }
-    if (matchBoard) {
-      const brd = items.filter(e => e.category === "Board");
-      parts.push(formatList("🏛 К заседанию Совета:", brd));
-    }
-    if (matchDelegate) {
-      const del = items.filter(e => e.recommendation === "Delegate");
-      parts.push(formatList("↪ Можно делегировать:", del));
-    }
-    if (matchPriority || parts.length === 0) {
-      const top = items
-        .filter(e => e.action_required && !STATE.resolved[e.id])
-        .sort((a, b) => b.ai_score - a.ai_score)
-        .slice(0, 5);
-      parts.push(formatList("🎯 Топ-5 по AI-баллу:", top));
-    }
-
-    out.textContent = parts.join("\n\n");
-    out.classList.add("show");
-  }
-
-  function formatList(header, items) {
-    if (items.length === 0) return header + "\n  (пусто)";
-    const lines = items.map(e => {
-      const sla = slaState(e);
-      return `  • [${e.priority}] ${e.subject}\n    от ${e.from.name} (${e.from.title}) · ${fmtAge(e.age_days)} · SLA ${sla.label} · → ${RECO_LABEL[e.recommendation]}`;
-    });
-    return header + "\n" + lines.join("\n");
-  }
-
-  // ---------- Входящие ----------
-  function renderInbox() {
-    mount("inbox");
-    const catSel = $("#inbox-cat");
-    D.categories.forEach(c => {
-      const o = document.createElement("option");
-      o.value = c; o.textContent = CATEGORY_LABEL[c] || c;
-      catSel.appendChild(o);
-    });
-
-    const draw = () => {
-      const q = $("#inbox-search").value.toLowerCase().trim();
-      const cat = catSel.value;
-      const pri = $("#inbox-pri").value;
-      const unreadOnly = $("#inbox-unread").checked;
-      const list = $("#inbox-list");
-      list.innerHTML = "";
-
-      const filtered = D.emails
-        .filter(e => !q ||
-          e.subject.toLowerCase().includes(q) ||
-          e.from.name.toLowerCase().includes(q) ||
-          (e.preview || "").toLowerCase().includes(q))
-        .filter(e => !cat || e.category === cat)
-        .filter(e => !pri || e.priority === pri)
-        .filter(e => !unreadOnly || e.unread)
-        .sort((a, b) => b.ai_score - a.ai_score);
-
-      if (filtered.length === 0) {
-        list.innerHTML = `<div class="card muted small" style="text-align:center;padding:24px">Ничего не найдено.</div>`;
-        return;
-      }
-      filtered.forEach(e => list.appendChild(renderEmailCard(e)));
-    };
-
-    $("#inbox-search").addEventListener("input", draw);
-    catSel.addEventListener("change", draw);
-    $("#inbox-pri").addEventListener("change", draw);
-    $("#inbox-unread").addEventListener("change", draw);
-    draw();
-  }
-
-  function renderEmailCard(e) {
-    const div = document.createElement("div");
-    div.className = `email${e.unread ? " unread" : ""}${e.priority === "P1" ? " urgent" : ""}`;
-    const cat = e.category.toLowerCase();
-    const sla = slaState(e);
-    const slaColor = sla.state === "breach" ? "danger" : sla.state === "near" ? "warn" : "muted";
-    div.innerHTML = `
-      <div>
-        <span class="pri-badge pri-${e.priority}">${e.priority}</span>
-        <div class="score-bar" title="AI-балл ${e.ai_score}"><div class="score-fill" style="width:${e.ai_score}%"></div></div>
-        <div class="muted small mono r" style="margin-top:4px">${e.ai_score}</div>
-      </div>
-      <div class="meta">
-        <div class="subject">${escapeHtml(e.subject)}</div>
-        <div class="from">${escapeHtml(e.from.name)} · ${escapeHtml(e.from.title)} · ${escapeHtml(e.from.email)}</div>
-        <div class="preview">${escapeHtml(e.preview)}</div>
-        <div class="tags">
-          <span class="tag cat-${cat}">${CATEGORY_LABEL[e.category] || e.category}</span>
-          ${e.attachments ? `<span class="tag">📎 ${e.attachments}</span>` : ""}
-          ${e.unread ? `<span class="tag" style="color:var(--accent);border-color:var(--accent)">новое</span>` : ""}
-        </div>
-      </div>
-      <div class="actions">
-        <div class="age">${fmtAge(e.age_days)}</div>
-        ${e.sla_hours ? `<div class="age ${slaColor}">SLA ${sla.label}</div>` : ""}
-        <div class="reco reco-${e.recommendation.toLowerCase()}">→ ${RECO_LABEL[e.recommendation]}</div>
-      </div>
-    `;
-    div.onclick = () => alert(
-      `AI-обоснование:\n\n${e.ai_rationale}\n\n— Сводка —\n${e.summary}`
-    );
-    return div;
-  }
-
-  // ---------- Согласования ----------
-  function renderApprovals() {
-    mount("approvals");
-    const list = $("#appr-list");
-    list.innerHTML = "";
-
-    const items = D.emails
-      .filter(e => e.action_required &&
-        ["Sign", "Approve", "Vote", "Review", "Reject", "Escalate", "Delegate"].includes(e.recommendation))
-      .sort((a, b) => b.ai_score - a.ai_score);
-
-    items.forEach(e => {
-      const resolved = STATE.resolved[e.id];
-      const card = document.createElement("div");
-      card.className = "approval" + (resolved ? " resolved" : "");
-      const sla = slaState(e);
-      const slaClass = sla.state === "breach" ? "danger" : sla.state === "near" ? "warn" : "muted";
-      card.innerHTML = `
-        <div>
-          <div class="head">
-            <span class="pri-badge pri-${e.priority}">${e.priority}</span>
-            <span class="tag cat-${e.category.toLowerCase()}">${CATEGORY_LABEL[e.category] || e.category}</span>
-            ${resolved ? `<span class="resolved-tag">✓ ${RESOLVED_LABEL[resolved] || resolved}</span>` : ""}
-          </div>
-          <div class="subject" style="margin-top:10px">${escapeHtml(e.subject)}</div>
-          <div class="meta-row">
-            <span>от <strong>${escapeHtml(e.from.name)}</strong> (${escapeHtml(e.from.title)})</span>
-            <span>${fmtAge(e.age_days)}</span>
-            ${e.sla_hours ? `<span class="${slaClass}">SLA ${sla.label}</span>` : ""}
-            ${e.attachments ? `<span>📎 вложений: ${e.attachments}</span>` : ""}
-          </div>
-          <div class="summary">${escapeHtml(e.summary)}</div>
-          <div class="ai-box">
-            <strong>AI · балл ${e.ai_score}/100 · → ${RECO_LABEL[e.recommendation]}</strong><br/>
-            <span class="muted small">${escapeHtml(e.ai_rationale)}</span>
-          </div>
-        </div>
-        <div class="controls">
-          ${approvalButtons(e)}
-        </div>
-      `;
-      card.querySelectorAll("button[data-act]").forEach(b => {
-        b.onclick = () => {
-          STATE.resolved[e.id] = b.dataset.act;
-          renderApprovals();
-        };
-      });
-      list.appendChild(card);
-    });
-
-    if (items.length === 0) {
-      list.innerHTML = `<div class="card muted small" style="text-align:center;padding:24px">Открытых решений нет.</div>`;
-    }
-  }
-
-  function approvalButtons(e) {
-    const r = e.recommendation;
-    if (r === "Sign")     return `<button class="btn-sign" data-act="Signed">✍️ Подписать</button><button data-act="Delegated" class="btn-delegate">Делегировать</button>`;
-    if (r === "Approve")  return `<button class="btn-approve" data-act="Approved">✓ Согласовать</button><button data-act="Rejected" class="btn-reject">Отклонить</button><button data-act="Delegated" class="btn-delegate">Делегировать</button>`;
-    if (r === "Vote")     return `<button class="btn-approve" data-act="Voted FOR">Голос ЗА</button><button data-act="Voted AGAINST" class="btn-reject">Голос ПРОТИВ</button>`;
-    if (r === "Review")   return `<button class="btn-approve" data-act="Reviewed">✓ Просмотрено</button><button data-act="Delegated" class="btn-delegate">Делегировать</button>`;
-    if (r === "Escalate") return `<button class="btn-reject" data-act="Escalated">↑ Эскалировать</button><button data-act="Ignored" class="btn-delegate">Игнорировать</button>`;
-    if (r === "Delegate") return `<button data-act="Delegated" class="btn-delegate">↪ Делегировать</button><button class="btn-approve" data-act="Approved">Решить самому</button>`;
-    return `<button data-act="Done" class="btn-approve">Готово</button>`;
-  }
-
-  // ---------- Эскалации ----------
-  function renderEscalations() {
-    mount("escalations");
-    const rows = D.emails
-      .filter(e => e.category === "Escalation" || e.priority === "P1")
-      .sort((a, b) => b.age_days - a.age_days);
-    const tbody = $("#esc-rows");
-    rows.forEach(e => {
-      const sla = slaState(e);
-      const slaCls = sla.state === "breach" ? "danger" : sla.state === "near" ? "warn" : "muted";
-      const tr = document.createElement("tr");
-      const status = STATE.resolved[e.id]
-        ? `<span class="accent">${RESOLVED_LABEL[STATE.resolved[e.id]] || STATE.resolved[e.id]}</span>`
-        : `<span class="${e.priority === 'P1' ? 'danger' : 'warn'}">${RECO_LABEL[e.recommendation]}</span>`;
-      tr.innerHTML = `
-        <td class="mono">${fmtAge(e.age_days)}</td>
-        <td>${escapeHtml(e.subject)}</td>
-        <td class="muted small">${escapeHtml(e.from.name)}</td>
-        <td>${escapeHtml(e.from.title)}</td>
-        <td class="r ${slaCls}">${sla.label}</td>
-        <td>${status}</td>
-      `;
-      tbody.appendChild(tr);
-    });
-    if (rows.length === 0) {
-      tbody.innerHTML = `<tr><td colspan="6" class="muted small" style="text-align:center;padding:24px">Открытых эскалаций нет.</td></tr>`;
-    }
-  }
-
-  // ---------- Поиск ----------
-  function renderSearch() {
-    mount("search");
-    const sug = $("#srch-suggest");
-    ["бюджет", "EU AI Act", "Совет", "Председатель", "аудит", "Сокол", "SecOps", "ESG"].forEach(s => {
-      const b = document.createElement("button");
-      b.className = "chip"; b.textContent = s;
-      b.onclick = () => { $("#srch-input").value = s; doSearch(); };
-      sug.appendChild(b);
-    });
-    $("#srch-go").onclick = doSearch;
-    $("#srch-input").addEventListener("keydown", e => { if (e.key === "Enter") doSearch(); });
-  }
-
-  function doSearch() {
-    const q = $("#srch-input").value.toLowerCase().trim();
-    const out = $("#srch-results");
-    out.innerHTML = "";
-    if (!q) return;
-    const hay = (e) =>
-      (e.subject + " " + e.preview + " " + e.summary + " " +
-       e.from.name + " " + e.from.title + " " +
-       (CATEGORY_LABEL[e.category] || "") + " " + e.category).toLowerCase();
-    const results = D.emails.filter(e => hay(e).includes(q));
-    if (results.length === 0) {
-      out.innerHTML = `<div class="card muted small" style="text-align:center;padding:24px">Совпадений нет.</div>`;
-      return;
-    }
-    results.forEach(e => out.appendChild(renderEmailCard(e)));
-  }
-
-  // ---------- Helpers ----------
-  function escapeHtml(s) {
-    if (s == null) return "";
-    return String(s)
-      .replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;")
-      .replace(/"/g, "&quot;").replace(/'/g, "&#039;");
-  }
-
-  // ---------- Router ----------
-  document.getElementById("nav").addEventListener("click", (e) => {
-    const r = e.target.dataset.route;
-    if (r) navigate(r);
-  });
-  window.addEventListener("hashchange", () => {
-    const r = location.hash.replace("#", "") || "briefing";
-    if (r !== STATE.route) navigate(r);
-  });
-
-  const start = location.hash.replace("#", "") || "briefing";
-  navigate(start);
-})();
--- a/executive-os/data.js
+++ b/executive-os/data.js
@ -1,351 +0,0 @@
-// ExecutiveOS AI — мок-данные (демо интеграции HCL Notes / Lotus Notes)
-// Все имена/отправители/суммы вымышлены. Компания: АО «АКМЕ Холдинг».
-// "сегодня" = 2026-05-22 для расчета возраста писем и SLA в app.js.
-
-window.MOCK_DATA = {
-  meta: {
-    today: "2026-05-22",
-    user: "ceo@acme.corp",
-    source: "HCL Notes / Lotus Notes (Domino bridge)",
-    last_sync: "2026-05-22T08:14:00Z"
-  },
-
-  // Канонические ключи (для логики) → русские подписи (для UI) — в app.js
-  categories: ["Approval", "Board", "Escalation", "Financial", "Legal", "HR", "Informational", "Urgent"],
-  priorities: ["P1", "P2", "P3"],
-
-  emails: [
-    {
-      id: "e01",
-      received_at: "2026-05-22T07:42:00Z",
-      from: { name: "Анна Петрова", email: "chairman@acme.corp", title: "Председатель совета директоров" },
-      subject: "Утверждение CAPEX Q2 — пересмотренный план $42 млн",
-      preview: "Прошу рассмотреть и подписать пересмотренный план CAPEX до заседания Совета в пятницу. Ключевые изменения: +$8M на AI-инфраструктуру, −$3M из устаревшего ЦОД.",
-      summary: "Председатель Совета просит подпись CEO на пересмотренном CAPEX Q2 ($42 млн). Главный сдвиг: +$8M в AI-инфра, −$3M из легаси-ЦОД. Привязано к голосованию Совета в пятницу.",
-      category: "Approval",
-      priority: "P1",
-      ai_score: 96,
-      recommendation: "Sign",
-      ai_rationale: "Отправитель — Председатель Совета (высшая инстанция). Тема пересекается с голосованием через 3 дня. Риск: срыв дедлайна срывает закрытие Q2-бюджета. Исторически подобные пересмотры CAPEX одобряются в 9 случаях из 10.",
-      action_required: true,
-      unread: true,
-      age_days: 0,
-      attachments: 2,
-      sla_hours: 48
-    },
-    {
-      id: "e02",
-      received_at: "2026-05-21T18:11:00Z",
-      from: { name: "Маркус Лян", email: "cfo@acme.corp", title: "Финансовый директор (CFO)" },
-      subject: "Резерв непредвиденных расходов FY26 — на подпись",
-      preview: "Финансы закрыли резерв на уровне 3,2% от opex. Требуется электронная подпись на приложенном меморандуме до конца квартала.",
-      summary: "CFO подтверждает резерв FY26 на уровне 3,2% от opex ($14,1 млн). Стандартная подпись меморандума, изменений политики vs прошлого года нет.",
-      category: "Financial",
-      priority: "P2",
-      ai_score: 82,
-      recommendation: "Sign",
-      ai_rationale: "Рутинный финансовый контроль. Соответствует прошлогоднему паттерну. Низкий операционный риск. Рекомендация: подписать.",
-      action_required: true,
-      unread: true,
-      age_days: 1,
-      attachments: 1,
-      sla_hours: 72
-    },
-    {
-      id: "e03",
-      received_at: "2026-05-21T14:30:00Z",
-      from: { name: "Юридический департамент", email: "legal@acme.corp", title: "Главный юрист" },
-      subject: "Продление контракта с TechCo MSA — $1,2 млн/год",
-      preview: "Продление MSA с TechCo. Лимит ответственности снижен с 12 до 6 месяцев платежей. Просьба рассмотреть или делегировать.",
-      summary: "Legal эскалирует продление MSA с TechCo. Особенность: лимит ответственности уменьшен в 2 раза. Стоимость контракта $1,2 млн/год.",
-      category: "Legal",
-      priority: "P2",
-      ai_score: 74,
-      recommendation: "Review",
-      ai_rationale: "Условия ответственности существенно слабее предыдущего MSA. Ниже обязательного порога ревью CEO ($5 млн), но нестандартное изменение требует внимания.",
-      action_required: true,
-      unread: true,
-      age_days: 1,
-      attachments: 3,
-      sla_hours: 96
-    },
-    {
-      id: "e04",
-      received_at: "2026-05-20T22:05:00Z",
-      from: { name: "SecOps Alert", email: "secops@acme.corp", title: "Служба безопасности" },
-      subject: "ИНЦИДЕНТ P1 — Подозрительный вход админа с внешнего IP",
-      preview: "Привилегированный аккаунт 'svc-domino-admin' аутентифицировался с не-VPN IP 185.x.x.x в 22:04 UTC. Учётные данные автоматически ротированы. Ожидаем решение об эскалации.",
-      summary: "SecOps зафиксировал подозрительный привилегированный вход. Учётные данные авторотированы. Утечки данных не зафиксировано. SecOps просит CEO эскалировать к CISO + уведомить аудит-комитет Совета.",
-      category: "Escalation",
-      priority: "P1",
-      ai_score: 99,
-      recommendation: "Escalate",
-      ai_rationale: "Паттерн компрометации привилегированной учётки. Вероятно сработал порог обязательного раскрытия. Рекомендация: немедленная эскалация к CISO и предварительное уведомление аудит-комитета.",
-      action_required: true,
-      unread: true,
-      age_days: 2,
-      attachments: 1,
-      sla_hours: 4
-    },
-    {
-      id: "e05",
-      received_at: "2026-05-20T11:30:00Z",
-      from: { name: "Сара Ким", email: "chro@acme.corp", title: "Директор по персоналу (CHRO)" },
-      subject: "Промоушены до уровня директор — 3 кандидата",
-      preview: "Три промоушена до директора в Q2. Все прошли Совет по талантам. Требуется финальное одобрение CEO.",
-      summary: "CHRO просит подпись по 3 промоушенам директоров. Все предварительно одобрены Советом по талантам. Годовое влияние на ФОТ +$420K.",
-      category: "HR",
-      priority: "P2",
-      ai_score: 71,
-      recommendation: "Approve",
-      ai_rationale: "Стандартный пакет промоушенов. Совет по талантам уже одобрил. Стоимость в пределах Q2-плана. Исторический процент одобрения CEO предодобренных промоушенов: 94%.",
-      action_required: true,
-      unread: false,
-      age_days: 2,
-      attachments: 1,
-      sla_hours: 120
-    },
-    {
-      id: "e06",
-      received_at: "2026-05-19T16:45:00Z",
-      from: { name: "Секретариат Совета", email: "board-sec@acme.corp", title: "Секретариат Совета директоров" },
-      subject: "Заседание Совета 24 мая — материалы pre-read (4 документа)",
-      preview: "Pre-read: обновление стратегии Q2, M&A-pipeline, риск-дашборд, ESG-отчет. Просьба ознакомиться до сессии 09:00 в пятницу.",
-      summary: "Пакет материалов к заседанию Совета 24 мая. 4 документа: стратегия Q2, M&A-pipeline, риск-дашборд, ESG. Всего ~62 страницы. AI-сводка приложена.",
-      category: "Board",
-      priority: "P2",
-      ai_score: 88,
-      recommendation: "Review",
-      ai_rationale: "Стандартный pre-read Совета. Сгенерирована автоматическая сводка. M&A-pipeline содержит 1 материальный пункт, требующий знакомства CEO до голосования.",
-      action_required: true,
-      unread: true,
-      age_days: 3,
-      attachments: 4,
-      sla_hours: 96
-    },
-    {
-      id: "e07",
-      received_at: "2026-05-19T09:00:00Z",
-      from: { name: "Investor Relations", email: "ir@acme.corp", title: "Глава IR" },
-      subject: "Сценарий звонка с инвесторами — финальный драфт",
-      preview: "Финальный сценарий звонка 28 мая. Тезисы согласованы с CFO. Просьба проверить вступительное слово.",
-      summary: "Сценарий звонка с инвесторами v3. Вступление акцентирует ROI AI-инфраструктуры. Согласовано с CFO. Два варианта Q&A ожидают предпочтения CEO.",
-      category: "Financial",
-      priority: "P2",
-      ai_score: 78,
-      recommendation: "Review",
-      ai_rationale: "Публичный материал. Две формулировки про AI ROI — рекомендую консервативный вариант, проверенный юристами, учитывая предыдущий запрос SEC.",
-      action_required: true,
-      unread: false,
-      age_days: 3,
-      attachments: 1,
-      sla_hours: 144
-    },
-    {
-      id: "e08",
-      received_at: "2026-05-18T20:11:00Z",
-      from: { name: "Внутренний аудит", email: "audit@acme.corp", title: "Глава внутреннего аудита" },
-      subject: "Аудит — нарушение разделения полномочий (Закупки)",
-      preview: "Аудит выявил 2 случая, когда один и тот же пользователь утверждал PO и проводил оплату. План устранения приложен.",
-      summary: "Внутренний аудит поднимает разрыв SoD в Закупках (2 случая). План устранения готов. Рекомендуется уведомление Аудит-комитета.",
-      category: "Escalation",
-      priority: "P2",
-      ai_score: 84,
-      recommendation: "Escalate",
-      ai_rationale: "Находка по SoD имеет комплаенс-последствия. Рекомендую эскалировать в Аудит-комитет на следующем заседании. План устранения уже подготовлен.",
-      action_required: true,
-      unread: true,
-      age_days: 4,
-      attachments: 2,
-      sla_hours: 120
-    },
-    {
-      id: "e09",
-      received_at: "2026-05-18T13:22:00Z",
-      from: { name: "Команда M&A", email: "ma@acme.corp", title: "Глава Corporate Development" },
-      subject: "Проект «Сокол» — term sheet, требуется голосование",
-      preview: "Term sheet по проекту «Сокол» (цель — NorthernCloud). Голосование Совета 24 мая. Просьба предварительного одобрения.",
-      summary: "Команда M&A подаёт term sheet по NorthernCloud ($380 млн). Стратегическое соответствие: расширение AI-инфраструктуры. Due diligence выявил 1 IP-замечание (mitigated).",
-      category: "Board",
-      priority: "P1",
-      ai_score: 92,
-      recommendation: "Vote",
-      ai_rationale: "Материальная M&A-сделка. Требуется голосование Совета. Предварительное одобрение CEO сигнализирует о поддержке. IP-вопрос отмечен в DD; юридическое заключение приложено.",
-      action_required: true,
-      unread: true,
-      age_days: 4,
-      attachments: 5,
-      sla_hours: 72
-    },
-    {
-      id: "e10",
-      received_at: "2026-05-17T08:00:00Z",
-      from: { name: "Операционный директор", email: "coo@acme.corp", title: "COO" },
-      subject: "Сбой в EU-регионе — драфт post-mortem",
-      preview: "Post-mortem сбоя в EU-регионе 14 мая. RCA: неверно настроенный failover. План действий: 4 направления. FYI.",
-      summary: "COO делится post-mortem сбоя в EU 14 мая. Простой 47 мин, затронуло 12K пользователей. Причина: misconfig failover. 4 направления устранения.",
-      category: "Informational",
-      priority: "P3",
-      ai_score: 38,
-      recommendation: "Ignore",
-      ai_rationale: "Информационное. Owner — COO. Действия CEO не требуются, если только Risk-комитет Совета не эскалирует. Помечено FYI.",
-      action_required: false,
-      unread: false,
-      age_days: 5,
-      attachments: 1,
-      sla_hours: null
-    },
-    {
-      id: "e11",
-      received_at: "2026-05-17T07:14:00Z",
-      from: { name: "Анна Петрова", email: "chairman@acme.corp", title: "Председатель совета директоров" },
-      subject: "Re: Стратегическая сессия — даты в июне",
-      preview: "Подтверждаю 18–19 июня для стратегической сессии. Прошу ответить со списком участников исполкома.",
-      summary: "Председатель подтверждает даты стратегической сессии (18–19 июня). Ждёт подтверждения CEO + список участников.",
-      category: "Approval",
-      priority: "P2",
-      ai_score: 75,
-      recommendation: "Approve",
-      ai_rationale: "Подтверждение календаря от Председателя. VIP-отправитель. Быстрый ответ усиливает сигнал доверия. Черновик ответа готов.",
-      action_required: true,
-      unread: false,
-      age_days: 5,
-      attachments: 0,
-      sla_hours: 48
-    },
-    {
-      id: "e12",
-      received_at: "2026-05-16T19:33:00Z",
-      from: { name: "Маркетинг", email: "cmo@acme.corp", title: "CMO" },
-      subject: "Бренд-кампания — финальное согласование креатива",
-      preview: "Финальный креатив для бренд-кампании Q3. Просьба проверить приложенное видео + 4 print-варианта.",
-      summary: "CMO просит подпись по креативу бренд-кампании Q3. Соответствует бренд-гайдлайнам. Согласовано с командой Comms.",
-      category: "Approval",
-      priority: "P3",
-      ai_score: 58,
-      recommendation: "Delegate",
-      ai_rationale: "Операционное маркетинговое решение. Рекомендую делегировать CMO + VP Comms, если у CEO нет стратегических предпочтений.",
-      action_required: true,
-      unread: true,
-      age_days: 6,
-      attachments: 5,
-      sla_hours: 168
-    },
-    {
-      id: "e13",
-      received_at: "2026-05-15T12:00:00Z",
-      from: { name: "ESG-комитет", email: "esg@acme.corp", title: "Глава ESG" },
-      subject: "Годовой отчет по устойчивому развитию — на подпись",
-      preview: "Годовой ESG-отчет приложен. Требуется подпись руководства перед публичной подачей.",
-      summary: "ESG-отчет готов к публичной подаче. Проверен Legal + ESG-комитетом. Требуется подпись CEO на сопроводительном письме.",
-      category: "Approval",
-      priority: "P2",
-      ai_score: 76,
-      recommendation: "Sign",
-      ai_rationale: "Годовая публикация. Стандартный процесс. Все upstream-проверки завершены. Дедлайн подачи — 31 мая.",
-      action_required: true,
-      unread: false,
-      age_days: 7,
-      attachments: 1,
-      sla_hours: 96
-    },
-    {
-      id: "e14",
-      received_at: "2026-05-14T10:15:00Z",
-      from: { name: "HR Operations", email: "hr-ops@acme.corp", title: "Директор HR" },
-      subject: "Whistleblower-обращение — чувствительное (HR-2026-0042)",
-      preview: "Конфиденциальное обращение по анонимному каналу. Запущено внутреннее расследование. Брифинг для CEO eyes-only.",
-      summary: "Конфиденциальный whistleblower-кейс (HR-2026-0042). Расследуют HR + Legal. На этом этапе — только процедурное уведомление.",
-      category: "Escalation",
-      priority: "P1",
-      ai_score: 95,
-      recommendation: "Escalate",
-      ai_rationale: "Чувствительный HR-вопрос. Рекомендую конфиденциальный брифинг с Главным юристом и Главой HR. Возможно уведомление Аудит-комитета в зависимости от масштаба.",
-      action_required: true,
-      unread: true,
-      age_days: 8,
-      attachments: 0,
-      sla_hours: 48
-    },
-    {
-      id: "e15",
-      received_at: "2026-05-14T09:00:00Z",
-      from: { name: "Благотворительный фонд", email: "donations@external.org", title: "Директор" },
-      subject: "Партнёрство — спонсорство ежегодного гала",
-      preview: "Предложение спонсорства гала-вечера. Уровни от $25K до $200K. Возможность для бренда.",
-      summary: "Внешний питч благотворительного партнёрства. Уровни $25K–$200K. Бренд-соответствие умеренное.",
-      category: "Informational",
-      priority: "P3",
-      ai_score: 22,
-      recommendation: "Delegate",
-      ai_rationale: "Внешнее обращение. Ниже порога CEO. Передать в Comms или Фонд.",
-      action_required: false,
-      unread: false,
-      age_days: 8,
-      attachments: 1,
-      sla_hours: null
-    },
-    {
-      id: "e16",
-      received_at: "2026-05-12T15:00:00Z",
-      from: { name: "Риск-комитет", email: "risk@acme.corp", title: "Директор по рискам" },
-      subject: "Обновление реестра рисков за квартал",
-      preview: "Реестр рисков Q2 обновлён. Два новых «красных» пункта: цепочка поставок (полупроводники) и регуляторика (EU AI Act).",
-      summary: "Реестр рисков Q2: два новых «красных» пункта — риск полупроводниковой цепочки, комплаенс EU AI Act. Назначены ответственные за митигацию.",
-      category: "Board",
-      priority: "P2",
-      ai_score: 83,
-      recommendation: "Review",
-      ai_rationale: "Существенные изменения в реестре рисков. Стоит ознакомиться CEO до риск-сессии Совета на следующей неделе.",
-      action_required: true,
-      unread: false,
-      age_days: 10,
-      attachments: 1,
-      sla_hours: 120
-    },
-    {
-      id: "e17",
-      received_at: "2026-05-10T08:45:00Z",
-      from: { name: "Speaker Bureau", email: "bookings@speakerbureau.com", title: "Букинг-агент" },
-      subject: "Приглашение с keynote — TechSummit Берлин, окт 2026",
-      preview: "Приглашение с keynote. Гонорар предложен. Тема: «AI-native enterprises». Аудитория: ~2000 руководителей.",
-      summary: "Внешнее приглашение к выступлению. Берлин, октябрь 2026. Соответствует thought leadership.",
-      category: "Informational",
-      priority: "P3",
-      ai_score: 45,
-      recommendation: "Delegate",
-      ai_rationale: "Внешнее приглашение. Передать в Comms для оценки. Срочного решения не требуется.",
-      action_required: false,
-      unread: false,
-      age_days: 12,
-      attachments: 0,
-      sla_hours: null
-    },
-    {
-      id: "e18",
-      received_at: "2026-05-08T16:30:00Z",
-      from: { name: "Регулятор (Еврокомиссия)", email: "ec-comm@eu.regulator", title: "Официальное уведомление" },
-      subject: "Информационный запрос — соответствие EU AI Act (статья 13)",
-      preview: "Формальный запрос информации по статье 13 EU AI Act. Дедлайн ответа: 5 июня 2026.",
-      summary: "Формальный запрос Еврокомиссии по EU AI Act, ст. 13. Жёсткий дедлайн 5 июня. Legal + Compliance готовят ответ.",
-      category: "Legal",
-      priority: "P1",
-      ai_score: 97,
-      recommendation: "Escalate",
-      ai_rationale: "Формальный регуляторный запрос с законодательным дедлайном. Рекомендую: CEO в курсе, Legal ведёт, уведомить Совет. Штрафные риски значительные.",
-      action_required: true,
-      unread: true,
-      age_days: 14,
-      attachments: 2,
-      sla_hours: 96
-    }
-  ],
-
-  briefing_text:
-    "Доброе утро. Сегодня 22 мая 2026 г.\n\n" +
-    "В работе 18 писем за последние 14 дней. AI-приоритизация выделила:\n\n" +
-    "• 5 критических (P1) — включая инцидент безопасности SecOps (svc-domino-admin) и формальный запрос регулятора EU AI Act с дедлайном 5 июня.\n" +
-    "• 4 ожидают подписи — CAPEX Q2 ($42 млн), бюджетный резерв FY26, ESG-отчёт, продление MSA TechCo.\n" +
-    "• 3 материала к заседанию Совета 24 мая (M&A «Сокол», риск-регистр, ESG).\n\n" +
-    "Рекомендую начать день с инцидента SecOps (P1, окно SLA <4 ч) и сразу подписать CAPEX-меморандум Председателя — голосование Совета через 2 дня."
-};
--- a/executive-os/icon.svg
+++ b/executive-os/icon.svg
@ -1,19 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512">
-  <defs>
-    <linearGradient id="g" x1="0%" y1="0%" x2="100%" y2="100%">
-      <stop offset="0%" stop-color="#7bb7ff"/>
-      <stop offset="100%" stop-color="#5cf2a0"/>
-    </linearGradient>
-    <linearGradient id="bg" x1="0%" y1="0%" x2="0%" y2="100%">
-      <stop offset="0%" stop-color="#121620"/>
-      <stop offset="100%" stop-color="#0a0c10"/>
-    </linearGradient>
-  </defs>
-  <rect width="512" height="512" rx="96" fill="url(#bg)"/>
-  <rect x="80"  y="120" width="352" height="56" rx="14" fill="url(#g)"/>
-  <rect x="80"  y="208" width="240" height="40" rx="10" fill="#7bb7ff" opacity="0.45"/>
-  <rect x="80"  y="268" width="300" height="40" rx="10" fill="#7bb7ff" opacity="0.30"/>
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-  <circle cx="402" cy="370" r="44" fill="#5cf2a0"/>
-  <path d="M385 370 l14 14 l30 -30" stroke="#0a0c10" stroke-width="10" fill="none" stroke-linecap="round" stroke-linejoin="round"/>
-</svg>
--- a/executive-os/index.html
+++ b/executive-os/index.html
@ -1,193 +0,0 @@
-<!DOCTYPE html>
-<html lang="ru">
-<head>
-  <meta charset="UTF-8" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>ExecutiveOS AI — Помощник для руководителя (Lotus)</title>
-  <link rel="manifest" href="manifest.webmanifest" />
-  <link rel="icon" type="image/svg+xml" href="icon.svg" />
-  <link rel="apple-touch-icon" href="icon.svg" />
-  <meta name="theme-color" content="#7bb7ff" />
-  <meta name="apple-mobile-web-app-capable" content="yes" />
-  <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
-  <meta name="apple-mobile-web-app-title" content="ExecutiveOS" />
-  <link rel="stylesheet" href="styles.css" />
-</head>
-<body>
-  <header class="topbar">
-    <div class="brand">
-      <span class="logo-dot"></span>
-      <span><strong>ExecutiveOS</strong> <span class="muted">AI</span></span>
-    </div>
-    <nav class="nav" id="nav">
-      <button data-route="briefing" class="active">Брифинг</button>
-      <button data-route="inbox">Входящие</button>
-      <button data-route="approvals">Согласования</button>
-      <button data-route="escalations">Эскалации</button>
-      <button data-route="search">AI-поиск</button>
-    </nav>
-    <div class="user">
-      <span id="online-dot" class="status-dot"></span>
-      <span class="mono">ceo@acme.corp</span>
-      <span class="muted small">· HCL Notes</span>
-      <button id="btn-install" class="btn-ghost install-btn" hidden>↓ Установить</button>
-    </div>
-  </header>
-
-  <main id="view"></main>
-
-  <!-- Брифинг -->
-  <template id="tpl-briefing">
-    <section>
-      <div class="row spread wrap">
-        <div>
-          <h1>Ежедневный брифинг</h1>
-          <div class="muted small" id="brief-date"></div>
-        </div>
-        <div class="row gap">
-          <button id="btn-refresh" class="btn-ghost">↻ Синхронизация с Lotus</button>
-          <button id="btn-mark-read" class="btn-ghost">Отметить все просмотренными</button>
-        </div>
-      </div>
-
-      <div class="kpi-grid">
-        <div class="card kpi"><div class="kpi-label">Критических непрочитанных</div><div class="kpi-value danger" data-k="critical"></div></div>
-        <div class="card kpi"><div class="kpi-label">Ожидают решения</div><div class="kpi-value warn" data-k="pending"></div></div>
-        <div class="card kpi"><div class="kpi-label">К Совету директоров</div><div class="kpi-value" data-k="board"></div></div>
-        <div class="card kpi"><div class="kpi-label">Нарушений SLA</div><div class="kpi-value danger" data-k="sla"></div></div>
-      </div>
-
-      <div class="grid-2-1">
-        <div class="card">
-          <div class="kpi-label">Сводка дня</div>
-          <div id="brief-summary" class="briefing"></div>
-        </div>
-        <div class="card">
-          <div class="kpi-label">Топ-3 приоритета</div>
-          <ol id="brief-top3" class="priorities"></ol>
-        </div>
-      </div>
-
-      <div class="card">
-        <div class="kpi-label">AI-копилот</div>
-        <div class="copilot">
-          <div class="row gap">
-            <input id="cp-input" placeholder="«Что требует моей подписи?», «Покажи просроченные»…" />
-            <button id="cp-ask" class="btn-primary">Спросить</button>
-          </div>
-          <div id="cp-suggest" class="chips"></div>
-          <div id="cp-answer" class="answer"></div>
-        </div>
-      </div>
-    </section>
-  </template>
-
-  <!-- Входящие -->
-  <template id="tpl-inbox">
-    <section>
-      <h1>Приоритетные входящие</h1>
-      <div class="card row gap wrap">
-        <input id="inbox-search" placeholder="Поиск по теме, отправителю, тексту…" />
-        <select id="inbox-cat">
-          <option value="">Все категории</option>
-        </select>
-        <select id="inbox-pri">
-          <option value="">Все приоритеты</option>
-          <option value="P1">P1 — Критический</option>
-          <option value="P2">P2 — Высокий</option>
-          <option value="P3">P3 — Обычный</option>
-        </select>
-        <label class="row gap small"><input type="checkbox" id="inbox-unread" /> <span>Только непрочитанные</span></label>
-      </div>
-      <div id="inbox-list" class="email-list"></div>
-    </section>
-  </template>
-
-  <!-- Согласования -->
-  <template id="tpl-approvals">
-    <section>
-      <div class="row spread wrap">
-        <h1>Ожидают согласования</h1>
-        <div class="muted small">AI оценил риск и предложил действие. Решение всегда за вами.</div>
-      </div>
-      <div id="appr-list" class="approval-list"></div>
-    </section>
-  </template>
-
-  <!-- Эскалации -->
-  <template id="tpl-escalations">
-    <section>
-      <h1>Монитор эскалаций</h1>
-      <div class="card">
-        <table class="data">
-          <thead><tr>
-            <th>Возраст</th><th>Тема</th><th>От кого</th><th>Должность</th>
-            <th class="r">SLA</th><th>Статус</th>
-          </tr></thead>
-          <tbody id="esc-rows"></tbody>
-        </table>
-      </div>
-    </section>
-  </template>
-
-  <!-- Поиск -->
-  <template id="tpl-search">
-    <section>
-      <h1>AI-поиск по корпоративной почте</h1>
-      <div class="card stack">
-        <div class="row gap">
-          <input id="srch-input" placeholder="Семантический поиск по письмам, согласованиям, материалам Совета…" />
-          <button id="srch-go" class="btn-primary">Найти</button>
-        </div>
-        <div class="chips" id="srch-suggest"></div>
-      </div>
-      <div id="srch-results" class="email-list"></div>
-    </section>
-  </template>
-
-  <script src="data.js"></script>
-  <script src="app.js"></script>
-  <script>
-    // ---- PWA: регистрация Service Worker ----
-    if ("serviceWorker" in navigator) {
-      window.addEventListener("load", () => {
-        navigator.serviceWorker.register("./sw.js")
-          .then(reg => console.log("[PWA] SW registered:", reg.scope))
-          .catch(err => console.error("[PWA] SW error:", err));
-      });
-    }
-
-    // ---- Install prompt ----
-    let deferredPrompt = null;
-    const installBtn = document.getElementById("btn-install");
-    window.addEventListener("beforeinstallprompt", (e) => {
-      e.preventDefault();
-      deferredPrompt = e;
-      installBtn.hidden = false;
-    });
-    installBtn.addEventListener("click", async () => {
-      if (!deferredPrompt) return;
-      deferredPrompt.prompt();
-      const { outcome } = await deferredPrompt.userChoice;
-      console.log("[PWA] install outcome:", outcome);
-      deferredPrompt = null;
-      installBtn.hidden = true;
-    });
-    window.addEventListener("appinstalled", () => {
-      installBtn.hidden = true;
-      console.log("[PWA] installed");
-    });
-
-    // ---- Online/offline индикатор ----
-    const dot = document.getElementById("online-dot");
-    function updateOnline() {
-      const online = navigator.onLine;
-      dot.classList.toggle("offline", !online);
-      dot.title = online ? "Online — Lotus синхронизирован" : "Offline — данные из кэша";
-    }
-    window.addEventListener("online", updateOnline);
-    window.addEventListener("offline", updateOnline);
-    updateOnline();
-  </script>
-</body>
-</html>
--- a/executive-os/manifest.webmanifest
+++ b/executive-os/manifest.webmanifest
@ -1,33 +0,0 @@
-{
-  "name": "ExecutiveOS AI — Lotus Copilot",
-  "short_name": "ExecutiveOS",
-  "description": "AI Chief of Staff для руководителя. Интеграция с HCL Notes / Lotus Notes.",
-  "lang": "ru",
-  "start_url": "./index.html",
-  "scope": "./",
-  "display": "standalone",
-  "orientation": "portrait-primary",
-  "background_color": "#0a0c10",
-  "theme_color": "#7bb7ff",
-  "icons": [
-    { "src": "icon.svg", "sizes": "any", "type": "image/svg+xml", "purpose": "any maskable" }
-  ],
-  "categories": ["productivity", "business"],
-  "shortcuts": [
-    {
-      "name": "Брифинг",
-      "url": "./index.html#briefing",
-      "description": "Ежедневный AI-брифинг"
-    },
-    {
-      "name": "Согласования",
-      "url": "./index.html#approvals",
-      "description": "Ожидают решения"
-    },
-    {
-      "name": "Эскалации",
-      "url": "./index.html#escalations",
-      "description": "Критические P1"
-    }
-  ]
-}
--- a/executive-os/styles.css
+++ b/executive-os/styles.css
@ -1,440 +0,0 @@
-:root {
-  --ink: #0a0c10;
-  --panel: #121620;
-  --panel-2: #181d29;
-  --line: #1e2535;
-  --muted: #7a8699;
-  --text: #e7ecf3;
-  --accent: #7bb7ff;
-  --accent-2: #5cf2a0;
-  --warn: #ffb454;
-  --danger: #ff5c7a;
-  --urgent: #ff3d65;
-}
-
-* { box-sizing: border-box; }
-
-html, body {
-  margin: 0; padding: 0;
-  background: var(--ink); color: var(--text);
-  font-family: -apple-system, BlinkMacSystemFont, "Inter", "Segoe UI", system-ui, sans-serif;
-  font-size: 14px; line-height: 1.5;
-}
-
-.mono { font-family: ui-monospace, "SF Mono", Menlo, monospace; }
-.muted { color: var(--muted); }
-.accent { color: var(--accent); }
-.warn { color: var(--warn); }
-.danger { color: var(--danger); }
-.small { font-size: 12px; }
-.r { text-align: right; }
-.wrap { flex-wrap: wrap; gap: 12px; }
-.spread { justify-content: space-between; align-items: baseline; }
-.gap { gap: 12px; }
-.stack { display: flex; flex-direction: column; gap: 12px; }
-
-/* Topbar */
-.topbar {
-  display: flex; align-items: center; gap: 24px;
-  padding: 14px 28px;
-  border-bottom: 1px solid var(--line);
-  background: rgba(10, 12, 16, 0.85);
-  backdrop-filter: blur(8px);
-  position: sticky; top: 0; z-index: 10;
-}
-.brand { display: flex; align-items: center; gap: 10px; font-size: 16px; letter-spacing: -0.01em; }
-.logo-dot {
-  width: 10px; height: 10px;
-  background: linear-gradient(135deg, var(--accent), var(--accent-2));
-  border-radius: 3px;
-  display: inline-block;
-}
-.nav { display: flex; gap: 4px; }
-.nav button {
-  background: transparent; border: 1px solid transparent;
-  color: var(--muted); padding: 6px 12px; border-radius: 6px;
-  font-size: 13px; cursor: pointer; transition: 0.15s;
-  font-family: inherit;
-}
-.nav button:hover { color: var(--text); }
-.nav button.active { background: var(--panel); border-color: var(--line); color: var(--text); }
-.user {
-  margin-left: auto; display: flex; align-items: center; gap: 8px;
-  color: var(--muted); font-size: 12px;
-}
-.status-dot {
-  width: 8px; height: 8px; border-radius: 50%;
-  background: var(--accent-2);
-  box-shadow: 0 0 8px var(--accent-2);
-  transition: 0.3s;
-}
-.status-dot.offline {
-  background: var(--warn);
-  box-shadow: 0 0 8px var(--warn);
-}
-.install-btn {
-  padding: 4px 10px;
-  font-size: 11px;
-}
-
-/* Layout */
-main { max-width: 1280px; margin: 0 auto; padding: 32px 28px; }
-section { display: flex; flex-direction: column; gap: 20px; }
-h1 { font-size: 22px; font-weight: 600; letter-spacing: -0.01em; margin: 0; }
-
-.row { display: flex; align-items: center; }
-
-/* Card */
-.card {
-  background: var(--panel);
-  border: 1px solid var(--line);
-  border-radius: 12px;
-  padding: 20px;
-}
-
-/* KPI */
-.kpi-grid {
-  display: grid; gap: 16px;
-  grid-template-columns: repeat(4, minmax(0, 1fr));
-}
-@media (max-width: 880px) { .kpi-grid { grid-template-columns: repeat(2, 1fr); } }
-.kpi { padding: 18px 20px; }
-.kpi-label {
-  font-size: 11px; text-transform: uppercase; letter-spacing: 0.1em;
-  color: var(--muted);
-}
-.kpi-value {
-  font-size: 28px; font-weight: 600; margin-top: 8px;
-  font-variant-numeric: tabular-nums; letter-spacing: -0.01em;
-}
-
-.grid-2-1 {
-  display: grid; gap: 16px;
-  grid-template-columns: 2fr 1fr;
-}
-@media (max-width: 880px) { .grid-2-1 { grid-template-columns: 1fr; } }
-
-/* Briefing */
-.briefing {
-  margin-top: 14px;
-  white-space: pre-wrap;
-  line-height: 1.7;
-  font-size: 14px;
-}
-.priorities {
-  margin: 12px 0 0; padding: 0; list-style: none;
-  display: flex; flex-direction: column; gap: 10px;
-}
-.priorities li {
-  background: var(--ink); border: 1px solid var(--line);
-  border-radius: 8px; padding: 12px;
-}
-.priorities .sub { display: block; font-size: 12px; color: var(--muted); margin-top: 4px; }
-
-/* Inputs */
-input[type="text"], input:not([type]), select {
-  background: var(--ink); border: 1px solid var(--line); color: var(--text);
-  padding: 8px 12px; border-radius: 6px; font-size: 13px;
-  font-family: inherit; outline: none;
-}
-input:focus, select:focus { border-color: var(--accent); }
-input { flex: 1; min-width: 0; }
-
-button.btn-primary {
-  background: var(--accent); color: var(--ink); border: 0;
-  padding: 8px 16px; border-radius: 6px; font-weight: 600;
-  font-size: 13px; cursor: pointer; font-family: inherit;
-}
-button.btn-primary:disabled { opacity: 0.4; cursor: not-allowed; }
-button.btn-ghost {
-  background: transparent; border: 1px solid var(--line); color: var(--text);
-  padding: 6px 14px; border-radius: 6px; font-size: 13px;
-  cursor: pointer; font-family: inherit;
-}
-button.btn-ghost:hover { border-color: var(--accent); color: var(--accent); }
-
-/* Copilot */
-.copilot { margin-top: 10px; display: flex; flex-direction: column; gap: 12px; }
-.chips { display: flex; gap: 6px; flex-wrap: wrap; }
-.chip {
-  background: transparent; border: 1px solid var(--line); color: var(--muted);
-  font-size: 11px; padding: 4px 10px; border-radius: 999px;
-  cursor: pointer; font-family: inherit;
-}
-.chip:hover { color: var(--accent); border-color: var(--accent); }
-.answer {
-  background: var(--ink); border: 1px solid var(--line);
-  border-radius: 8px; padding: 14px 16px;
-  font-size: 13px; line-height: 1.7;
-  white-space: pre-wrap; display: none;
-}
-.answer.show { display: block; }
-
-/* Email list */
-.email-list { display: flex; flex-direction: column; gap: 8px; }
-.email {
-  background: var(--panel); border: 1px solid var(--line);
-  border-radius: 10px; padding: 14px 16px;
-  display: grid; grid-template-columns: 60px 1fr auto; gap: 14px;
-  align-items: start; cursor: pointer; transition: 0.15s;
-}
-.email:hover { border-color: var(--accent); }
-.email.unread { border-left: 3px solid var(--accent); }
-.email.urgent { border-left: 3px solid var(--urgent); }
-.email .pri-badge {
-  display: inline-block; text-align: center;
-  padding: 4px 8px; font-size: 11px; font-weight: 600;
-  border-radius: 4px;
-  background: var(--ink); border: 1px solid var(--line);
-}
-.pri-P1 { color: var(--urgent); border-color: var(--urgent) !important; }
-.pri-P2 { color: var(--warn); border-color: var(--warn) !important; }
-.pri-P3 { color: var(--muted); }
-.email .meta { display: flex; flex-direction: column; gap: 4px; min-width: 0; }
-.email .subject { font-weight: 500; }
-.email .from { color: var(--muted); font-size: 12px; }
-.email .preview { color: var(--muted); font-size: 12px; margin-top: 4px; line-height: 1.5; }
-.email .tags { display: flex; gap: 6px; margin-top: 6px; flex-wrap: wrap; }
-.tag {
-  font-size: 10px; text-transform: uppercase; letter-spacing: 0.05em;
-  padding: 2px 8px; border-radius: 3px;
-  background: var(--ink); border: 1px solid var(--line); color: var(--muted);
-}
-.tag.cat-approval { color: var(--warn); border-color: var(--warn); }
-.tag.cat-board { color: var(--accent); border-color: var(--accent); }
-.tag.cat-escalation, .tag.cat-urgent { color: var(--urgent); border-color: var(--urgent); }
-.tag.cat-financial, .tag.cat-legal, .tag.cat-hr { color: var(--accent-2); border-color: var(--accent-2); }
-.tag.cat-informational { color: var(--muted); }
-.email .actions {
-  display: flex; flex-direction: column; align-items: flex-end; gap: 6px;
-  min-width: 140px;
-}
-.email .age { font-size: 11px; color: var(--muted); font-family: ui-monospace, monospace; }
-.email .reco {
-  font-size: 11px; padding: 4px 10px; border-radius: 999px;
-  background: var(--ink); border: 1px solid var(--line);
-}
-.reco-approve { color: var(--accent-2); border-color: var(--accent-2); }
-.reco-sign    { color: var(--accent); border-color: var(--accent); }
-.reco-vote    { color: var(--accent); border-color: var(--accent); }
-.reco-review  { color: var(--warn); border-color: var(--warn); }
-.reco-reject  { color: var(--danger); border-color: var(--danger); }
-.reco-escalate{ color: var(--urgent); border-color: var(--urgent); }
-.reco-delegate{ color: var(--muted); }
-.reco-ignore  { color: var(--muted); }
-
-.score-bar {
-  width: 100%; height: 4px; background: var(--ink);
-  border-radius: 2px; margin-top: 6px; overflow: hidden;
-}
-.score-fill {
-  height: 100%; background: linear-gradient(90deg, var(--accent), var(--accent-2));
-}
-
-/* Approval cards */
-.approval-list { display: flex; flex-direction: column; gap: 12px; }
-.approval {
-  background: var(--panel); border: 1px solid var(--line);
-  border-radius: 12px; padding: 18px 20px;
-  display: grid; gap: 16px;
-  grid-template-columns: 1fr auto;
-}
-@media (max-width: 720px) { .approval { grid-template-columns: 1fr; } }
-.approval .head { display: flex; align-items: center; gap: 10px; flex-wrap: wrap; }
-.approval .subject { font-weight: 600; font-size: 15px; }
-.approval .meta-row {
-  margin-top: 8px; color: var(--muted); font-size: 12px;
-  display: flex; gap: 14px; flex-wrap: wrap;
-}
-.approval .summary { margin-top: 12px; font-size: 13px; line-height: 1.6; color: var(--text); }
-.approval .ai-box {
-  margin-top: 12px; padding: 12px 14px;
-  background: var(--ink); border: 1px solid var(--line);
-  border-radius: 8px; font-size: 13px;
-}
-.approval .ai-box strong { color: var(--accent); }
-.approval .controls {
-  display: flex; flex-direction: column; gap: 8px;
-  min-width: 160px; align-items: stretch;
-}
-.approval .controls button {
-  font-family: inherit; font-size: 13px;
-  padding: 8px 12px; border-radius: 6px; cursor: pointer;
-  background: var(--ink); border: 1px solid var(--line); color: var(--text);
-}
-.approval .controls .btn-approve { background: var(--accent-2); color: var(--ink); border: 0; font-weight: 600; }
-.approval .controls .btn-reject  { color: var(--danger); border-color: var(--danger); }
-.approval .controls .btn-delegate{ color: var(--muted); }
-.approval .controls .btn-sign    { background: var(--accent); color: var(--ink); border: 0; font-weight: 600; }
-.approval.resolved { opacity: 0.55; }
-.approval .resolved-tag { color: var(--accent-2); font-size: 11px; text-transform: uppercase; letter-spacing: 0.1em; }
-
-/* Tables */
-table.data {
-  width: 100%; border-collapse: collapse; margin-top: 6px; font-size: 13px;
-}
-table.data th {
-  color: var(--muted); font-weight: 500;
-  text-transform: uppercase; font-size: 11px; letter-spacing: 0.08em;
-  text-align: left; padding: 8px 6px; border-bottom: 1px solid var(--line);
-}
-table.data td {
-  padding: 10px 6px; border-bottom: 1px solid var(--line);
-  font-variant-numeric: tabular-nums;
-}
-table.data tr:last-child td { border-bottom: 0; }
-
-/* =========================
-   Mobile / responsive
-   ========================= */
-@media (max-width: 880px) {
-  main { padding: 20px 16px; }
-  h1 { font-size: 19px; }
-  .kpi-grid { grid-template-columns: repeat(2, 1fr); gap: 12px; }
-  .grid-2-1, .grid-1-1 { grid-template-columns: 1fr; gap: 12px; }
-}
-
-@media (max-width: 720px) {
-  main { padding: 16px 12px; }
-  section { gap: 14px; }
-
-  /* Topbar: nav скроллится горизонтально, user на новую строку */
-  .topbar {
-    padding: 10px 12px;
-    gap: 10px;
-    flex-wrap: wrap;
-    align-items: center;
-  }
-  .brand { font-size: 15px; }
-  .nav {
-    order: 3;
-    width: 100%;
-    overflow-x: auto;
-    -webkit-overflow-scrolling: touch;
-    scrollbar-width: none;
-    flex-wrap: nowrap;
-  }
-  .nav::-webkit-scrollbar { display: none; }
-  .nav button {
-    flex-shrink: 0;
-    padding: 8px 14px;
-    font-size: 13px;
-  }
-  .user {
-    margin-left: auto;
-    font-size: 11px;
-    gap: 6px;
-  }
-
-  /* KPI 2 в ряд + меньшие значения */
-  .kpi { padding: 14px 14px; }
-  .kpi-label { font-size: 10px; letter-spacing: 0.08em; }
-  .kpi-value { font-size: 22px; margin-top: 6px; }
-  .kpi-grid, .kpi-3 { grid-template-columns: repeat(2, 1fr) !important; gap: 10px; }
-
-  /* Cards: меньше отступы */
-  .card { padding: 14px; border-radius: 10px; }
-
-  /* Touch-friendly inputs (iOS не зумит при 16px) */
-  input[type="text"], input:not([type]), select {
-    font-size: 16px;
-    padding: 10px 12px;
-    width: 100%;
-  }
-  .row.gap.wrap > input,
-  .row.gap.wrap > select { flex: 1 1 100%; }
-  .row.gap.wrap { gap: 8px; }
-
-  /* Buttons крупнее */
-  button.btn-primary, button.btn-ghost {
-    min-height: 42px;
-    padding: 10px 16px;
-    font-size: 14px;
-  }
-
-  /* Email card: всё в колонку */
-  .email {
-    grid-template-columns: 1fr;
-    gap: 12px;
-    padding: 14px;
-  }
-  .email > div:first-child {
-    display: flex;
-    align-items: center;
-    gap: 12px;
-  }
-  .email .score-bar { flex: 1; margin-top: 0; }
-  .email .actions {
-    flex-direction: row;
-    flex-wrap: wrap;
-    min-width: 0;
-    align-items: center;
-    justify-content: flex-start;
-    gap: 8px;
-  }
-  .email .actions .age,
-  .email .actions .reco { flex-shrink: 0; }
-  .email .preview {
-    display: -webkit-box;
-    -webkit-line-clamp: 3;
-    -webkit-box-orient: vertical;
-    overflow: hidden;
-  }
-
-  /* Approval card: controls под content, кнопки full-width */
-  .approval { grid-template-columns: 1fr; padding: 16px; }
-  .approval .controls { min-width: 0; }
-  .approval .controls button {
-    width: 100%;
-    padding: 12px 16px;
-    font-size: 14px;
-    min-height: 44px;
-  }
-  .approval .subject { font-size: 15px; }
-  .approval .meta-row { gap: 10px; font-size: 11px; }
-  .approval .ai-box { font-size: 12px; padding: 10px 12px; }
-  .approval .summary { font-size: 13px; }
-
-  /* Таблицы: горизонтальный скролл */
-  table.data { font-size: 12px; }
-  table.data th, table.data td { padding: 8px 6px; }
-
-  /* Allocation легенда в 1 колонку */
-  .alloc-legend { grid-template-columns: 1fr; }
-
-  /* Monthly chart меньше */
-  .chart { height: 140px; }
-  .chart .month { font-size: 9px; }
-
-  /* Brief: топ-3 чуть компактнее */
-  .priorities li { padding: 10px; font-size: 13px; }
-  .briefing { font-size: 13px; line-height: 1.6; }
-
-  /* Чипсы крупнее (тач) */
-  .chip { font-size: 12px; padding: 6px 12px; min-height: 30px; }
-
-  /* AI-копилот ответ */
-  .answer { font-size: 13px; padding: 12px 14px; }
-}
-
-@media (max-width: 480px) {
-  /* Очень узкие — KPI один в ряд */
-  .kpi-grid, .kpi-3 { grid-template-columns: 1fr !important; }
-  .kpi-value { font-size: 24px; }
-  .user .small { display: none; }
-  .user .mono { font-size: 10px; }
-  .topbar .install-btn { font-size: 11px; padding: 6px 10px; }
-  /* Брифинг: header колонка */
-  .row.spread.wrap { flex-direction: column; align-items: flex-start; }
-  .row.spread.wrap > * { width: 100%; }
-}
-
-/* Большие касательные таргеты для тач-устройств */
-@media (hover: none) and (pointer: coarse) {
-  .nav button, .chip, .approval .controls button,
-  button.btn-primary, button.btn-ghost {
-    min-height: 40px;
-  }
-  /* убираем hover-only фокус-эффекты */
-  .email:hover { border-color: var(--line); }
-}
--- a/executive-os/sw.js
+++ b/executive-os/sw.js
@ -1,56 +0,0 @@
-// ExecutiveOS AI — Service Worker (PWA cache + offline)
-const CACHE_NAME = "executive-os-v1";
-const APP_SHELL = [
-  "./",
-  "./index.html",
-  "./styles.css",
-  "./app.js",
-  "./data.js",
-  "./manifest.webmanifest",
-  "./icon.svg"
-];
-
-self.addEventListener("install", (event) => {
-  event.waitUntil(
-    caches.open(CACHE_NAME).then((cache) => cache.addAll(APP_SHELL))
-  );
-  self.skipWaiting();
-});
-
-self.addEventListener("activate", (event) => {
-  event.waitUntil(
-    caches.keys().then((names) =>
-      Promise.all(names.filter((n) => n !== CACHE_NAME).map((n) => caches.delete(n)))
-    )
-  );
-  self.clients.claim();
-});
-
-// Cache-first для app shell, network-first для прочего.
-self.addEventListener("fetch", (event) => {
-  const req = event.request;
-  if (req.method !== "GET") return;
-
-  const url = new URL(req.url);
-  const isShell = APP_SHELL.some((p) => url.pathname.endsWith(p.replace("./", "/")) || url.pathname.endsWith(p.replace("./", "")));
-
-  if (isShell) {
-    event.respondWith(
-      caches.match(req).then((cached) => cached || fetch(req).then((res) => {
-        const copy = res.clone();
-        caches.open(CACHE_NAME).then((c) => c.put(req, copy));
-        return res;
-      }))
-    );
-    return;
-  }
-
-  // Network-first fallback for everything else (e.g. future /api/* calls)
-  event.respondWith(
-    fetch(req).then((res) => {
-      const copy = res.clone();
-      caches.open(CACHE_NAME).then((c) => c.put(req, copy));
-      return res;
-    }).catch(() => caches.match(req))
-  );
-});
--- a/frontend/.env.example
+++ b/frontend/.env.example
@ -1 +0,0 @@
-NEXT_PUBLIC_API_BASE=http://localhost:8000
--- a/frontend/.gitignore
+++ b/frontend/.gitignore
@ -1,5 +0,0 @@
-node_modules
-.next
-out
-.env*.local
-*.log
--- a/frontend/app/cashflow/page.tsx
+++ b/frontend/app/cashflow/page.tsx
@ -1,106 +0,0 @@
-"use client";
-
-import useSWR from "swr";
-import { fetcher, fmtMoney } from "@/lib/api";
-import type { CashFlow, DividendSummary, SpendingSummary } from "@/lib/types";
-
-export default function CashFlowPage() {
-  const cf = useSWR<CashFlow>("/cashflow/summary", fetcher);
-  const sp = useSWR<SpendingSummary>("/cashflow/spending", fetcher);
-  const dv = useSWR<DividendSummary>("/cashflow/dividends", fetcher);
-
-  if (cf.isLoading || sp.isLoading || dv.isLoading) return <div className="text-muted">Loading…</div>;
-  if (!cf.data || !sp.data || !dv.data) return <div className="card text-danger">Failed to load.</div>;
-
-  return (
-    <div className="space-y-6">
-      <h1 className="text-2xl font-semibold tracking-tight">Cash Flow</h1>
-
-      <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
-        <Stat label="Inflows" value={fmtMoney(cf.data.inflows)} colorClass="text-accent" />
-        <Stat label="Outflows" value={fmtMoney(cf.data.outflows)} colorClass="text-danger" />
-        <Stat
-          label="Net"
-          value={fmtMoney(cf.data.net)}
-          colorClass={parseFloat(cf.data.net) >= 0 ? "text-accent" : "text-danger"}
-        />
-      </div>
-
-      <div className="grid grid-cols-1 lg:grid-cols-2 gap-4">
-        <div className="card">
-          <div className="kpi-sub mb-3">Spending by Category</div>
-          <BarList data={sp.data.by_category} tone="danger" />
-        </div>
-        <div className="card">
-          <div className="kpi-sub mb-3">Dividends & Coupons by Asset</div>
-          <BarList data={dv.data.by_asset} tone="accent" />
-        </div>
-      </div>
-
-      <div className="card">
-        <div className="kpi-sub mb-3">Monthly Cash Flow</div>
-        <MonthlyChart data={cf.data.monthly} />
-      </div>
-    </div>
-  );
-}
-
-function Stat({ label, value, colorClass = "" }: { label: string; value: string; colorClass?: string }) {
-  return (
-    <div className="card">
-      <div className="kpi-sub">{label}</div>
-      <div className={`kpi mt-2 ${colorClass}`}>{value}</div>
-    </div>
-  );
-}
-
-function BarList({ data, tone }: { data: Record<string, string>; tone: "accent" | "danger" }) {
-  const rows = Object.entries(data).map(([k, v]) => ({ k, v: parseFloat(v) }));
-  if (rows.length === 0) return <div className="text-muted text-sm">No data.</div>;
-  const max = Math.max(...rows.map((r) => r.v));
-  rows.sort((a, b) => b.v - a.v);
-  return (
-    <div className="space-y-2">
-      {rows.map((r) => (
-        <div key={r.k}>
-          <div className="flex justify-between text-xs mb-1">
-            <span className="text-muted">{r.k}</span>
-            <span className="font-mono">{fmtMoney(r.v)}</span>
-          </div>
-          <div className="h-1.5 rounded bg-ink overflow-hidden">
-            <div
-              className={tone === "accent" ? "bg-accent h-full" : "bg-danger h-full"}
-              style={{ width: `${(r.v / max) * 100}%` }}
-            />
-          </div>
-        </div>
-      ))}
-    </div>
-  );
-}
-
-function MonthlyChart({ data }: { data: { month: string; inflow: number; outflow: number }[] }) {
-  if (data.length === 0) return <div className="text-muted text-sm">No data.</div>;
-  const max = Math.max(...data.map((d) => Math.max(d.inflow, d.outflow)));
-  return (
-    <div className="flex items-end gap-2 h-40">
-      {data.map((d) => (
-        <div key={d.month} className="flex-1 flex flex-col items-center gap-1">
-          <div className="w-full flex gap-0.5 items-end h-full">
-            <div
-              className="flex-1 bg-accent rounded-t"
-              style={{ height: `${(d.inflow / max) * 100}%` }}
-              title={`In ${fmtMoney(d.inflow)}`}
-            />
-            <div
-              className="flex-1 bg-danger rounded-t"
-              style={{ height: `${(d.outflow / max) * 100}%` }}
-              title={`Out ${fmtMoney(d.outflow)}`}
-            />
-          </div>
-          <div className="text-[10px] text-muted font-mono">{d.month.slice(2)}</div>
-        </div>
-      ))}
-    </div>
-  );
-}
--- a/frontend/app/globals.css
+++ b/frontend/app/globals.css
@ -1,25 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-:root {
-  color-scheme: dark;
-}
-
-html, body {
-  background: #0b0d10;
-  color: #e6ebf0;
-}
-
-.card {
-  @apply bg-panel border border-line rounded-xl p-5;
-}
-.kpi {
-  @apply text-3xl font-semibold tracking-tight;
-}
-.kpi-sub {
-  @apply text-xs uppercase tracking-widest text-muted;
-}
-.table-row {
-  @apply border-b border-line;
-}
--- a/frontend/app/layout.tsx
+++ b/frontend/app/layout.tsx
@ -1,19 +0,0 @@
-import "./globals.css";
-import type { Metadata } from "next";
-import { Nav } from "@/components/Nav";
-
-export const metadata: Metadata = {
-  title: "Atlas AI Wealth",
-  description: "AI-native wealth intelligence — portfolio, cash flow, forecasts."
-};
-
-export default function RootLayout({ children }: { children: React.ReactNode }) {
-  return (
-    <html lang="en">
-      <body className="font-sans">
-        <Nav />
-        <main className="max-w-7xl mx-auto px-6 py-8">{children}</main>
-      </body>
-    </html>
-  );
-}
--- a/frontend/app/page.tsx
+++ b/frontend/app/page.tsx
@ -1,91 +0,0 @@
-"use client";
-
-import useSWR from "swr";
-import { fetcher, fmtMoney, fmtPct } from "@/lib/api";
-import type { Dashboard } from "@/lib/types";
-import { Copilot } from "@/components/Copilot";
-
-export default function DashboardPage() {
-  const { data, error, isLoading } = useSWR<Dashboard>("/dashboard", fetcher);
-
-  if (isLoading) return <div className="text-muted">Loading…</div>;
-  if (error) return <ErrorState />;
-  if (!data) return null;
-
-  const perfColor = (data.performance_ytd ?? 0) >= 0 ? "text-accent" : "text-danger";
-
-  return (
-    <div className="space-y-6">
-      <div className="flex items-baseline justify-between">
-        <h1 className="text-2xl font-semibold tracking-tight">Dashboard</h1>
-        <div className="text-xs text-muted font-mono">Wealth OS — institutional view</div>
-      </div>
-
-      <div className="grid grid-cols-1 md:grid-cols-4 gap-4">
-        <Kpi label="Net Worth" value={fmtMoney(data.net_worth)} />
-        <Kpi label="Portfolio Value" value={fmtMoney(data.portfolio_value)} />
-        <Kpi label="Cash" value={fmtMoney(data.cash_balance)} />
-        <Kpi label="Performance YTD" value={fmtPct(data.performance_ytd)} colorClass={perfColor} />
-      </div>
-
-      <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
-        <Kpi label="Spending MTD" value={fmtMoney(data.spending_mtd)} />
-        <Kpi label="Spending YTD" value={fmtMoney(data.spending_ytd)} />
-        <Kpi label="Passive Income YTD" value={fmtMoney(data.passive_income_ytd)} colorClass="text-accent" />
-      </div>
-
-      <div className="grid grid-cols-1 lg:grid-cols-3 gap-4">
-        <div className="card lg:col-span-2">
-          <div className="kpi-sub mb-3">Top Positions</div>
-          <table className="w-full text-sm">
-            <thead className="text-muted text-xs uppercase tracking-wider">
-              <tr>
-                <th className="text-left py-2">Asset</th>
-                <th className="text-right py-2">Qty</th>
-                <th className="text-right py-2">Avg Cost</th>
-                <th className="text-right py-2">Price</th>
-                <th className="text-right py-2">Market Value</th>
-                <th className="text-right py-2">PnL</th>
-              </tr>
-            </thead>
-            <tbody>
-              {data.top_positions.map((p) => (
-                <tr key={p.asset} className="table-row">
-                  <td className="py-2 font-mono">{p.asset}</td>
-                  <td className="text-right">{parseFloat(p.quantity).toFixed(2)}</td>
-                  <td className="text-right">{fmtMoney(p.avg_cost)}</td>
-                  <td className="text-right">{fmtMoney(p.market_price)}</td>
-                  <td className="text-right">{fmtMoney(p.market_value)}</td>
-                  <td className={`text-right ${parseFloat(p.unrealized_pnl) >= 0 ? "text-accent" : "text-danger"}`}>
-                    {fmtMoney(p.unrealized_pnl)} ({fmtPct(p.unrealized_pnl_pct, 1)})
-                  </td>
-                </tr>
-              ))}
-            </tbody>
-          </table>
-        </div>
-        <Copilot />
-      </div>
-    </div>
-  );
-}
-
-function Kpi({ label, value, colorClass = "" }: { label: string; value: string; colorClass?: string }) {
-  return (
-    <div className="card">
-      <div className="kpi-sub">{label}</div>
-      <div className={`kpi mt-2 ${colorClass}`}>{value}</div>
-    </div>
-  );
-}
-
-function ErrorState() {
-  return (
-    <div className="card text-muted">
-      Backend unreachable. Start it with{" "}
-      <code className="font-mono text-text">.venv/bin/uvicorn app.main:app --port 8000</code> from{" "}
-      <code className="font-mono text-text">backend/</code>, then upload a statement at{" "}
-      <a className="text-accent underline" href="/upload">/upload</a>.
-    </div>
-  );
-}
--- a/frontend/app/portfolio/page.tsx
+++ b/frontend/app/portfolio/page.tsx
@ -1,86 +0,0 @@
-"use client";
-
-import useSWR from "swr";
-import { fetcher, fmtMoney, fmtPct } from "@/lib/api";
-import type { PortfolioMetrics } from "@/lib/types";
-import { AllocationBar } from "@/components/AllocationBar";
-
-export default function PortfolioPage() {
-  const { data, error, isLoading } = useSWR<PortfolioMetrics>("/portfolio/metrics", fetcher);
-
-  if (isLoading) return <div className="text-muted">Loading…</div>;
-  if (error) return <div className="card text-danger">Failed to load portfolio.</div>;
-  if (!data) return null;
-
-  return (
-    <div className="space-y-6">
-      <h1 className="text-2xl font-semibold tracking-tight">Portfolio</h1>
-
-      <div className="grid grid-cols-1 md:grid-cols-4 gap-4">
-        <Stat label="Market Value" value={fmtMoney(data.total_market_value)} />
-        <Stat label="Cost Basis" value={fmtMoney(data.total_cost_basis)} />
-        <Stat
-          label="Unrealized PnL"
-          value={`${fmtMoney(data.unrealized_pnl)} (${fmtPct(data.unrealized_pnl_pct, 2)})`}
-          colorClass={parseFloat(data.unrealized_pnl) >= 0 ? "text-accent" : "text-danger"}
-        />
-        <Stat
-          label="Realized PnL"
-          value={fmtMoney(data.realized_pnl)}
-          colorClass={parseFloat(data.realized_pnl) >= 0 ? "text-accent" : "text-danger"}
-        />
-      </div>
-
-      <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
-        <Stat label="TWR YTD" value={fmtPct(data.twr_ytd)} />
-        <Stat label="TWR Since Inception" value={fmtPct(data.twr_since_inception)} />
-        <Stat label="IRR Since Inception" value={fmtPct(data.irr_since_inception)} />
-      </div>
-
-      <div className="grid grid-cols-1 lg:grid-cols-3 gap-4">
-        <div className="card lg:col-span-2">
-          <div className="kpi-sub mb-3">Holdings</div>
-          <table className="w-full text-sm">
-            <thead className="text-muted text-xs uppercase tracking-wider">
-              <tr>
-                <th className="text-left py-2">Asset</th>
-                <th className="text-right py-2">Qty</th>
-                <th className="text-right py-2">Avg Cost</th>
-                <th className="text-right py-2">Price</th>
-                <th className="text-right py-2">Market Value</th>
-                <th className="text-right py-2">PnL</th>
-              </tr>
-            </thead>
-            <tbody>
-              {data.positions.map((p) => (
-                <tr key={p.asset} className="table-row">
-                  <td className="py-2 font-mono">{p.asset}</td>
-                  <td className="text-right">{parseFloat(p.quantity).toFixed(2)}</td>
-                  <td className="text-right">{fmtMoney(p.avg_cost)}</td>
-                  <td className="text-right">{fmtMoney(p.market_price)}</td>
-                  <td className="text-right">{fmtMoney(p.market_value)}</td>
-                  <td className={`text-right ${parseFloat(p.unrealized_pnl) >= 0 ? "text-accent" : "text-danger"}`}>
-                    {fmtMoney(p.unrealized_pnl)} ({fmtPct(p.unrealized_pnl_pct, 1)})
-                  </td>
-                </tr>
-              ))}
-            </tbody>
-          </table>
-        </div>
-        <div className="card">
-          <div className="kpi-sub mb-3">Allocation</div>
-          <AllocationBar allocation={data.allocation} />
-        </div>
-      </div>
-    </div>
-  );
-}
-
-function Stat({ label, value, colorClass = "" }: { label: string; value: string; colorClass?: string }) {
-  return (
-    <div className="card">
-      <div className="kpi-sub">{label}</div>
-      <div className={`kpi mt-2 ${colorClass}`}>{value}</div>
-    </div>
-  );
-}
--- a/frontend/app/transactions/page.tsx
+++ b/frontend/app/transactions/page.tsx
@ -1,99 +0,0 @@
-"use client";
-
-import { useMemo, useState } from "react";
-import useSWR from "swr";
-import { fetcher, fmtMoney } from "@/lib/api";
-import type { Transaction, TransactionType } from "@/lib/types";
-
-const TYPES: TransactionType[] = [
-  "BUY", "SELL", "DIVIDEND", "COUPON", "DEPOSIT",
-  "WITHDRAWAL", "SPENDING", "TRANSFER", "FX", "FEE", "UNKNOWN"
-];
-
-const COLORS: Record<TransactionType, string> = {
-  BUY: "text-warn", SELL: "text-accent", DIVIDEND: "text-accent",
-  COUPON: "text-accent", DEPOSIT: "text-accent", WITHDRAWAL: "text-danger",
-  SPENDING: "text-danger", TRANSFER: "text-muted", FX: "text-muted",
-  FEE: "text-danger", UNKNOWN: "text-muted"
-};
-
-export default function TransactionsPage() {
-  const [typeFilter, setTypeFilter] = useState<TransactionType | "">("");
-  const [q, setQ] = useState("");
-  const params = new URLSearchParams();
-  if (typeFilter) params.set("transaction_type", typeFilter);
-  if (q) params.set("q", q);
-  const path = `/transactions${params.toString() ? `?${params}` : ""}`;
-
-  const { data, error, isLoading } = useSWR<Transaction[]>(path, fetcher);
-
-  const counts = useMemo(() => {
-    const c: Partial<Record<TransactionType, number>> = {};
-    (data || []).forEach((t) => { c[t.transaction_type] = (c[t.transaction_type] || 0) + 1; });
-    return c;
-  }, [data]);
-
-  return (
-    <div className="space-y-6">
-      <h1 className="text-2xl font-semibold tracking-tight">Transactions</h1>
-
-      <div className="card flex flex-wrap items-center gap-3">
-        <input
-          value={q}
-          onChange={(e) => setQ(e.target.value)}
-          placeholder="Search description…"
-          className="flex-1 min-w-[200px] bg-ink border border-line rounded-md px-3 py-2 text-sm focus:outline-none focus:border-accent"
-        />
-        <select
-          value={typeFilter}
-          onChange={(e) => setTypeFilter(e.target.value as TransactionType | "")}
-          className="bg-ink border border-line rounded-md px-3 py-2 text-sm"
-        >
-          <option value="">All types</option>
-          {TYPES.map((t) => (
-            <option key={t} value={t}>{t}{counts[t] ? ` (${counts[t]})` : ""}</option>
-          ))}
-        </select>
-      </div>
-
-      {isLoading && <div className="text-muted">Loading…</div>}
-      {error && <div className="card text-danger">Failed to load.</div>}
-
-      {data && (
-        <div className="card overflow-x-auto">
-          <table className="w-full text-sm">
-            <thead className="text-muted text-xs uppercase tracking-wider">
-              <tr>
-                <th className="text-left py-2">Date</th>
-                <th className="text-left py-2">Type</th>
-                <th className="text-left py-2">Asset</th>
-                <th className="text-right py-2">Qty</th>
-                <th className="text-right py-2">Amount</th>
-                <th className="text-left py-2 pl-3">Category</th>
-                <th className="text-left py-2 pl-3">Description</th>
-              </tr>
-            </thead>
-            <tbody>
-              {data.map((t) => (
-                <tr key={t.id} className="table-row">
-                  <td className="py-2 font-mono text-xs">{new Date(t.occurred_at).toISOString().slice(0, 10)}</td>
-                  <td className={`py-2 ${COLORS[t.transaction_type]}`}>{t.transaction_type}</td>
-                  <td className="py-2 font-mono">{t.asset || "—"}</td>
-                  <td className="text-right">{parseFloat(t.quantity) ? parseFloat(t.quantity).toFixed(2) : "—"}</td>
-                  <td className={`text-right ${parseFloat(t.amount) >= 0 ? "text-accent" : "text-danger"}`}>
-                    {fmtMoney(t.amount, t.currency)}
-                  </td>
-                  <td className="pl-3 text-muted text-xs">{t.category || "—"}</td>
-                  <td className="pl-3 text-muted truncate max-w-xs">{t.description || "—"}</td>
-                </tr>
-              ))}
-              {data.length === 0 && (
-                <tr><td colSpan={7} className="text-center text-muted py-8">No transactions. Upload a statement first.</td></tr>
-              )}
-            </tbody>
-          </table>
-        </div>
-      )}
-    </div>
-  );
-}
--- a/frontend/app/upload/page.tsx
+++ b/frontend/app/upload/page.tsx
@ -1,87 +0,0 @@
-"use client";
-
-import { useState } from "react";
-import { uploadFile } from "@/lib/api";
-
-interface UploadResult {
-  account_id: string;
-  rows_parsed: number;
-  rows_imported: number;
-  rows_skipped: number;
-  detected_broker: string;
-}
-
-export default function UploadPage() {
-  const [file, setFile] = useState<File | null>(null);
-  const [result, setResult] = useState<UploadResult | null>(null);
-  const [err, setErr] = useState<string | null>(null);
-  const [busy, setBusy] = useState(false);
-
-  async function submit() {
-    if (!file) return;
-    setBusy(true);
-    setErr(null);
-    setResult(null);
-    try {
-      const res = await uploadFile(file);
-      setResult(res);
-    } catch (e: any) {
-      setErr(e.message || String(e));
-    } finally {
-      setBusy(false);
-    }
-  }
-
-  return (
-    <div className="space-y-6 max-w-2xl">
-      <h1 className="text-2xl font-semibold tracking-tight">Upload Statement</h1>
-
-      <div className="card space-y-4">
-        <div className="kpi-sub">Broker statement / bank export</div>
-        <input
-          type="file"
-          accept=".xlsx,.xls,.csv"
-          onChange={(e) => setFile(e.target.files?.[0] ?? null)}
-          className="block w-full text-sm file:mr-4 file:py-2 file:px-4 file:rounded-md file:border-0 file:bg-accent file:text-ink file:font-medium hover:file:opacity-90"
-        />
-        <p className="text-xs text-muted">
-          Supported: XLSX, XLS, CSV. Parser auto-detects broker, normalizes
-          headers, classifies transactions into BUY / SELL / DIVIDEND / COUPON /
-          SPENDING / TRANSFER / FEE.
-        </p>
-        <button
-          onClick={submit}
-          disabled={!file || busy}
-          className="px-4 py-2 rounded-md bg-accent text-ink font-medium disabled:opacity-40"
-        >
-          {busy ? "Uploading…" : "Upload"}
-        </button>
-      </div>
-
-      {err && <div className="card text-danger text-sm">{err}</div>}
-
-      {result && (
-        <div className="card space-y-2 text-sm">
-          <div className="kpi-sub mb-2">Import Result</div>
-          <Row k="Detected Broker" v={result.detected_broker} />
-          <Row k="Rows Parsed" v={String(result.rows_parsed)} />
-          <Row k="Rows Imported" v={String(result.rows_imported)} accent />
-          <Row k="Rows Skipped (dupes)" v={String(result.rows_skipped)} />
-          <Row k="Account ID" v={<span className="font-mono text-xs">{result.account_id}</span>} />
-          <div className="pt-3 text-muted text-xs">
-            Visit <a href="/" className="text-accent underline">Dashboard</a> to see updated metrics.
-          </div>
-        </div>
-      )}
-    </div>
-  );
-}
-
-function Row({ k, v, accent }: { k: string; v: React.ReactNode; accent?: boolean }) {
-  return (
-    <div className="flex justify-between border-b border-line py-2 last:border-0">
-      <span className="text-muted">{k}</span>
-      <span className={accent ? "text-accent font-semibold" : ""}>{v}</span>
-    </div>
-  );
-}
--- a/frontend/components/AllocationBar.tsx
+++ b/frontend/components/AllocationBar.tsx
@ -1,27 +0,0 @@
-const COLORS = ["#5cf2a0", "#7bb7ff", "#ffb454", "#ff5c7a", "#c08bff", "#7ad6ff", "#e6ebf0"];
-
-export function AllocationBar({ allocation }: { allocation: Record<string, number> }) {
-  const entries = Object.entries(allocation).sort((a, b) => b[1] - a[1]);
-  return (
-    <div>
-      <div className="flex h-2 rounded overflow-hidden border border-line">
-        {entries.map(([asset, share], i) => (
-          <div
-            key={asset}
-            style={{ width: `${share * 100}%`, background: COLORS[i % COLORS.length] }}
-            title={`${asset} ${(share * 100).toFixed(1)}%`}
-          />
-        ))}
-      </div>
-      <div className="mt-3 grid grid-cols-2 gap-2 text-xs">
-        {entries.map(([asset, share], i) => (
-          <div key={asset} className="flex items-center gap-2">
-            <span className="w-2 h-2 rounded-sm" style={{ background: COLORS[i % COLORS.length] }} />
-            <span className="font-mono text-text">{asset}</span>
-            <span className="text-muted ml-auto">{(share * 100).toFixed(1)}%</span>
-          </div>
-        ))}
-      </div>
-    </div>
-  );
-}
--- a/frontend/components/Copilot.tsx
+++ b/frontend/components/Copilot.tsx
@ -1,68 +0,0 @@
-"use client";
-
-import { useState } from "react";
-import { askCopilot } from "@/lib/api";
-
-const SUGGESTIONS = [
-  "What's my performance?",
-  "How much did I spend?",
-  "What's my passive income?",
-  "What's my concentration risk?"
-];
-
-export function Copilot() {
-  const [q, setQ] = useState("");
-  const [a, setA] = useState<string | null>(null);
-  const [loading, setLoading] = useState(false);
-
-  async function ask(question: string) {
-    setLoading(true);
-    setA(null);
-    try {
-      const res = await askCopilot(question);
-      setA(res.answer);
-    } catch (e: any) {
-      setA(`Error: ${e.message}`);
-    } finally {
-      setLoading(false);
-    }
-  }
-
-  return (
-    <div className="card">
-      <div className="kpi-sub mb-3">AI Copilot</div>
-      <div className="flex gap-2">
-        <input
-          value={q}
-          onChange={(e) => setQ(e.target.value)}
-          onKeyDown={(e) => e.key === "Enter" && q && ask(q)}
-          placeholder="Ask about portfolio, spending, dividends, risk…"
-          className="flex-1 bg-ink border border-line rounded-md px-3 py-2 text-sm focus:outline-none focus:border-accent"
-        />
-        <button
-          onClick={() => q && ask(q)}
-          disabled={!q || loading}
-          className="px-4 py-2 rounded-md bg-accent text-ink text-sm font-medium disabled:opacity-40"
-        >
-          {loading ? "…" : "Ask"}
-        </button>
-      </div>
-      <div className="mt-3 flex flex-wrap gap-2">
-        {SUGGESTIONS.map((s) => (
-          <button
-            key={s}
-            onClick={() => { setQ(s); ask(s); }}
-            className="text-xs px-2 py-1 rounded-md border border-line text-muted hover:text-text hover:border-accent"
-          >
-            {s}
-          </button>
-        ))}
-      </div>
-      {a && (
-        <div className="mt-4 p-4 rounded-md bg-ink border border-line text-sm leading-relaxed">
-          {a}
-        </div>
-      )}
-    </div>
-  );
-}
--- a/frontend/components/Nav.tsx
+++ b/frontend/components/Nav.tsx
@ -1,44 +0,0 @@
-"use client";
-
-import Link from "next/link";
-import { usePathname } from "next/navigation";
-
-const NAV = [
-  { href: "/", label: "Dashboard" },
-  { href: "/portfolio", label: "Portfolio" },
-  { href: "/transactions", label: "Transactions" },
-  { href: "/cashflow", label: "Cash Flow" },
-  { href: "/upload", label: "Upload" }
-];
-
-export function Nav() {
-  const path = usePathname();
-  return (
-    <header className="border-b border-line bg-ink/80 backdrop-blur sticky top-0 z-10">
-      <div className="max-w-7xl mx-auto px-6 py-4 flex items-center gap-8">
-        <div className="font-semibold tracking-tight text-lg">
-          <span className="text-accent">Atlas</span> AI Wealth
-        </div>
-        <nav className="flex gap-1">
-          {NAV.map((n) => {
-            const active = path === n.href;
-            return (
-              <Link
-                key={n.href}
-                href={n.href}
-                className={`px-3 py-1.5 rounded-md text-sm transition ${
-                  active
-                    ? "bg-panel text-text border border-line"
-                    : "text-muted hover:text-text"
-                }`}
-              >
-                {n.label}
-              </Link>
-            );
-          })}
-        </nav>
-        <div className="ml-auto text-xs text-muted font-mono">demo@atlas.local</div>
-      </div>
-    </header>
-  );
-}
--- a/frontend/lib/api.ts
+++ b/frontend/lib/api.ts
@ -1,48 +0,0 @@
-export const API_BASE = process.env.NEXT_PUBLIC_API_BASE || "/api";
-
-export async function fetcher<T>(path: string): Promise<T> {
-  const res = await fetch(`${API_BASE}${path}`, { cache: "no-store" });
-  if (!res.ok) throw new Error(`${res.status} ${res.statusText}`);
-  return res.json();
-}
-
-export async function uploadFile(file: File) {
-  const fd = new FormData();
-  fd.append("file", file);
-  const res = await fetch(`${API_BASE}/upload`, { method: "POST", body: fd });
-  if (!res.ok) throw new Error(await res.text());
-  return res.json();
-}
-
-export async function askCopilot(question: string) {
-  const res = await fetch(`${API_BASE}/copilot/ask`, {
-    method: "POST",
-    headers: { "Content-Type": "application/json" },
-    body: JSON.stringify({ question })
-  });
-  if (!res.ok) throw new Error(await res.text());
-  return res.json() as Promise<{ answer: string; context: Record<string, unknown> }>;
-}
-
-export function fmtMoney(v: number | string | null | undefined, ccy = "USD"): string {
-  if (v === null || v === undefined) return "—";
-  const n = typeof v === "string" ? parseFloat(v) : v;
-  if (Number.isNaN(n)) return "—";
-  return new Intl.NumberFormat("en-US", {
-    style: "currency",
-    currency: ccy,
-    maximumFractionDigits: 2
-  }).format(n);
-}
-
-export function fmtPct(v: number | null | undefined, digits = 2): string {
-  if (v === null || v === undefined) return "—";
-  return `${(v * 100).toFixed(digits)}%`;
-}
-
-export function fmtNum(v: number | string | null | undefined, digits = 4): string {
-  if (v === null || v === undefined) return "—";
-  const n = typeof v === "string" ? parseFloat(v) : v;
-  if (Number.isNaN(n)) return "—";
-  return n.toLocaleString("en-US", { maximumFractionDigits: digits });
-}
--- a/frontend/lib/types.ts
+++ b/frontend/lib/types.ts
@ -1,72 +0,0 @@
-export type TransactionType =
-  | "BUY" | "SELL" | "DIVIDEND" | "COUPON" | "DEPOSIT"
-  | "WITHDRAWAL" | "SPENDING" | "TRANSFER" | "FX" | "FEE" | "UNKNOWN";
-
-export interface Transaction {
-  id: string;
-  account_id: string;
-  occurred_at: string;
-  transaction_type: TransactionType;
-  asset: string | null;
-  quantity: string;
-  amount: string;
-  currency: string;
-  fee: string;
-  category: string | null;
-  description: string | null;
-}
-
-export interface Position {
-  asset: string;
-  quantity: string;
-  avg_cost: string;
-  market_price: string;
-  market_value: string;
-  unrealized_pnl: string;
-  unrealized_pnl_pct: number;
-}
-
-export interface PortfolioMetrics {
-  total_market_value: string;
-  total_cost_basis: string;
-  unrealized_pnl: string;
-  unrealized_pnl_pct: number;
-  realized_pnl: string;
-  cash_balance: string;
-  twr_ytd: number | null;
-  twr_since_inception: number | null;
-  irr_since_inception: number | null;
-  positions: Position[];
-  allocation: Record<string, number>;
-}
-
-export interface Dashboard {
-  net_worth: string;
-  portfolio_value: string;
-  cash_balance: string;
-  spending_mtd: string;
-  spending_ytd: string;
-  passive_income_ytd: string;
-  performance_ytd: number | null;
-  top_positions: Position[];
-}
-
-export interface CashFlow {
-  inflows: string;
-  outflows: string;
-  net: string;
-  by_category: Record<string, string>;
-  monthly: { month: string; inflow: number; outflow: number }[];
-}
-
-export interface SpendingSummary {
-  total: string;
-  by_category: Record<string, string>;
-  monthly: { month: string; amount: number }[];
-}
-
-export interface DividendSummary {
-  total: string;
-  by_asset: Record<string, string>;
-  by_month: { month: string; amount: number }[];
-}
--- a/frontend/next-env.d.ts
+++ b/frontend/next-env.d.ts
@ -1,5 +0,0 @@
-/// <reference types="next" />
-/// <reference types="next/image-types/global" />
-
-// NOTE: This file should not be edited
-// see https://nextjs.org/docs/app/building-your-application/configuring/typescript for more information.
--- a/frontend/next.config.js
+++ b/frontend/next.config.js
@ -1,10 +0,0 @@
-/** @type {import('next').NextConfig} */
-const API_TARGET = process.env.API_PROXY_TARGET || "http://localhost:8777";
-
-module.exports = {
-  reactStrictMode: true,
-  experimental: { typedRoutes: false },
-  async rewrites() {
-    return [{ source: "/api/:path*", destination: `${API_TARGET}/:path*` }];
-  }
-};
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
--- a/frontend/package.json
+++ b/frontend/package.json
@ -1,27 +0,0 @@
-{
-  "name": "atlas-ai-wealth-frontend",
-  "version": "0.1.0",
-  "private": true,
-  "scripts": {
-    "dev": "next dev -p 3000",
-    "build": "next build",
-    "start": "next start -p 3000",
-    "lint": "next lint",
-    "typecheck": "tsc --noEmit"
-  },
-  "dependencies": {
-    "next": "14.2.35",
-    "react": "18.3.1",
-    "react-dom": "18.3.1",
-    "swr": "2.2.5"
-  },
-  "devDependencies": {
-    "@types/node": "20.16.10",
-    "@types/react": "18.3.11",
-    "@types/react-dom": "18.3.0",
-    "autoprefixer": "10.4.20",
-    "postcss": "8.4.47",
-    "tailwindcss": "3.4.14",
-    "typescript": "5.6.3"
-  }
-}
--- a/frontend/postcss.config.js
+++ b/frontend/postcss.config.js
@ -1,3 +0,0 @@
-module.exports = {
-  plugins: { tailwindcss: {}, autoprefixer: {} }
-};
--- a/frontend/tailwind.config.js
+++ b/frontend/tailwind.config.js
@ -1,23 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-module.exports = {
-  content: ["./app/**/*.{ts,tsx}", "./components/**/*.{ts,tsx}"],
-  theme: {
-    extend: {
-      colors: {
-        ink: "#0b0d10",
-        panel: "#13171c",
-        line: "#1f262e",
-        muted: "#7a8693",
-        text: "#e6ebf0",
-        accent: "#5cf2a0",
-        warn: "#ffb454",
-        danger: "#ff5c7a"
-      },
-      fontFamily: {
-        sans: ["-apple-system", "BlinkMacSystemFont", "Inter", "ui-sans-serif", "system-ui"],
-        mono: ["ui-monospace", "SFMono-Regular", "Menlo", "monospace"]
-      }
-    }
-  },
-  plugins: []
-};
--- a/frontend/tsconfig.json
+++ b/frontend/tsconfig.json
@ -1,22 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ES2022",
-    "lib": ["dom", "dom.iterable", "esnext"],
-    "allowJs": true,
-    "skipLibCheck": true,
-    "strict": true,
-    "noEmit": true,
-    "esModuleInterop": true,
-    "module": "esnext",
-    "moduleResolution": "bundler",
-    "resolveJsonModule": true,
-    "isolatedModules": true,
-    "jsx": "preserve",
-    "incremental": true,
-    "plugins": [{ "name": "next" }],
-    "baseUrl": ".",
-    "paths": { "@/*": ["./*"] }
-  },
-  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
-  "exclude": ["node_modules"]
-}
--- a/frontend/tsconfig.tsbuildinfo
+++ b/frontend/tsconfig.tsbuildinfo
--- a/index.html
+++ b/index.html
@ -298,161 +298,6 @@ table.data td {
 }
 table.data tr:last-child td { border-bottom: 0; }

-/* =========================
-   Mobile / responsive
-   ========================= */
-@media (max-width: 880px) {
-  main { padding: 20px 16px; }
-  h1 { font-size: 19px; }
-  .kpi-grid { grid-template-columns: repeat(2, 1fr); gap: 12px; }
-  .grid-2-1, .grid-1-1 { grid-template-columns: 1fr; gap: 12px; }
-}
-
-@media (max-width: 720px) {
-  main { padding: 16px 12px; }
-  section { gap: 14px; }
-
-  /* Topbar: nav скроллится горизонтально, user на новую строку */
-  .topbar {
-    padding: 10px 12px;
-    gap: 10px;
-    flex-wrap: wrap;
-    align-items: center;
-  }
-  .brand { font-size: 15px; }
-  .nav {
-    order: 3;
-    width: 100%;
-    overflow-x: auto;
-    -webkit-overflow-scrolling: touch;
-    scrollbar-width: none;
-    flex-wrap: nowrap;
-  }
-  .nav::-webkit-scrollbar { display: none; }
-  .nav button {
-    flex-shrink: 0;
-    padding: 8px 14px;
-    font-size: 13px;
-  }
-  .user {
-    margin-left: auto;
-    font-size: 11px;
-    gap: 6px;
-  }
-
-  /* KPI 2 в ряд + меньшие значения */
-  .kpi { padding: 14px 14px; }
-  .kpi-label { font-size: 10px; letter-spacing: 0.08em; }
-  .kpi-value { font-size: 22px; margin-top: 6px; }
-  .kpi-grid, .kpi-3 { grid-template-columns: repeat(2, 1fr) !important; gap: 10px; }
-
-  /* Cards: меньше отступы */
-  .card { padding: 14px; border-radius: 10px; }
-
-  /* Touch-friendly inputs (iOS не зумит при 16px) */
-  input[type="text"], input:not([type]), select {
-    font-size: 16px;
-    padding: 10px 12px;
-    width: 100%;
-  }
-  .row.gap.wrap > input,
-  .row.gap.wrap > select { flex: 1 1 100%; }
-  .row.gap.wrap { gap: 8px; }
-
-  /* Buttons крупнее */
-  button.btn-primary, button.btn-ghost {
-    min-height: 42px;
-    padding: 10px 16px;
-    font-size: 14px;
-  }
-
-  /* Email card: всё в колонку */
-  .email {
-    grid-template-columns: 1fr;
-    gap: 12px;
-    padding: 14px;
-  }
-  .email > div:first-child {
-    display: flex;
-    align-items: center;
-    gap: 12px;
-  }
-  .email .score-bar { flex: 1; margin-top: 0; }
-  .email .actions {
-    flex-direction: row;
-    flex-wrap: wrap;
-    min-width: 0;
-    align-items: center;
-    justify-content: flex-start;
-    gap: 8px;
-  }
-  .email .actions .age,
-  .email .actions .reco { flex-shrink: 0; }
-  .email .preview {
-    display: -webkit-box;
-    -webkit-line-clamp: 3;
-    -webkit-box-orient: vertical;
-    overflow: hidden;
-  }
-
-  /* Approval card: controls под content, кнопки full-width */
-  .approval { grid-template-columns: 1fr; padding: 16px; }
-  .approval .controls { min-width: 0; }
-  .approval .controls button {
-    width: 100%;
-    padding: 12px 16px;
-    font-size: 14px;
-    min-height: 44px;
-  }
-  .approval .subject { font-size: 15px; }
-  .approval .meta-row { gap: 10px; font-size: 11px; }
-  .approval .ai-box { font-size: 12px; padding: 10px 12px; }
-  .approval .summary { font-size: 13px; }
-
-  /* Таблицы: горизонтальный скролл */
-  table.data { font-size: 12px; }
-  table.data th, table.data td { padding: 8px 6px; }
-
-  /* Allocation легенда в 1 колонку */
-  .alloc-legend { grid-template-columns: 1fr; }
-
-  /* Monthly chart меньше */
-  .chart { height: 140px; }
-  .chart .month { font-size: 9px; }
-
-  /* Brief: топ-3 чуть компактнее */
-  .priorities li { padding: 10px; font-size: 13px; }
-  .briefing { font-size: 13px; line-height: 1.6; }
-
-  /* Чипсы крупнее (тач) */
-  .chip { font-size: 12px; padding: 6px 12px; min-height: 30px; }
-
-  /* AI-копилот ответ */
-  .answer { font-size: 13px; padding: 12px 14px; }
-}
-
-@media (max-width: 480px) {
-  /* Очень узкие — KPI один в ряд */
-  .kpi-grid, .kpi-3 { grid-template-columns: 1fr !important; }
-  .kpi-value { font-size: 24px; }
-  .user .small { display: none; }
-  .user .mono { font-size: 10px; }
-  .topbar .install-btn { font-size: 11px; padding: 6px 10px; }
-  /* Брифинг: header колонка */
-  .row.spread.wrap { flex-direction: column; align-items: flex-start; }
-  .row.spread.wrap > * { width: 100%; }
-}
-
-/* Большие касательные таргеты для тач-устройств */
-@media (hover: none) and (pointer: coarse) {
-  .nav button, .chip, .approval .controls button,
-  button.btn-primary, button.btn-ghost {
-    min-height: 40px;
-  }
-  /* убираем hover-only фокус-эффекты */
-  .email:hover { border-color: var(--line); }
-}
-
 </style>
 </head>
 <body>
--- a/scripts/auto-sync.sh
+++ b/scripts/auto-sync.sh
@ -1,43 +0,0 @@
-#!/usr/bin/env bash
-# Авто-синхронизация локальных изменений в Gitea.
-# Каждые 5 сек проверяет git status. Если есть изменения:
-#   1) если изменился executive-os/* → пересобирает index.html (single-file)
-#   2) git add -A && git commit && git push origin main
-# Креды берутся из ~/.netrc.
-set -euo pipefail
-
-cd "$(dirname "$0")/.."
-ROOT="$(pwd)"
-INTERVAL="${INTERVAL:-5}"
-BRANCH="${BRANCH:-main}"
-
-log() { printf "[auto-sync %s] %s\n" "$(date '+%H:%M:%S')" "$*"; }
-
-trap 'log "stopped"; exit 0' INT TERM
-log "watching $ROOT (every ${INTERVAL}s, branch=$BRANCH)"
-
-while true; do
-  changes="$(git status --porcelain 2>/dev/null || true)"
-  if [ -n "$changes" ]; then
-    log "changes detected"
-    # если затронут executive-os/ — пересобираем single-file index.html
-    if echo "$changes" | grep -qE "executive-os/"; then
-      log "rebuilding single-file index.html"
-      bash "$ROOT/scripts/build-single-file.sh" || log "build failed"
-    fi
-    git add -A
-    if git diff --cached --quiet; then
-      log "nothing actually staged after add, skipping"
-    else
-      msg="auto-sync $(date '+%Y-%m-%d %H:%M:%S')"
-      git commit -m "$msg" >/dev/null 2>&1 || { log "commit failed"; sleep "$INTERVAL"; continue; }
-      log "committed: $msg"
-      if git push origin "$BRANCH" >/dev/null 2>&1; then
-        log "pushed → origin/$BRANCH"
-      else
-        log "push failed (will retry next tick)"
-      fi
-    fi
-  fi
-  sleep "$INTERVAL"
-done
--- a/scripts/build-single-file.sh
+++ b/scripts/build-single-file.sh
@ -1,32 +0,0 @@
-#!/usr/bin/env bash
-# Собирает single-file index.html из executive-os/ для Gitea Pages.
-# Inline CSS + JS + SVG-иконка → один HTML с правильным MIME для Pages.
-set -euo pipefail
-
-cd "$(dirname "$0")/.."
-ROOT="$(pwd)"
-SRC="$ROOT/executive-os"
-OUT="$ROOT/index.html"
-
-[ -f "$SRC/index.html" ] || { echo "ERR: $SRC/index.html not found"; exit 1; }
-
-/usr/bin/python3 <<PY
-import base64
-from pathlib import Path
-
-src = Path("$SRC")
-html = (src / "index.html").read_text()
-css  = (src / "styles.css").read_text()
-data = (src / "data.js").read_text()
-app  = (src / "app.js").read_text()
-icon = (src / "icon.svg").read_text()
-icon_uri = "data:image/svg+xml;base64," + base64.b64encode(icon.encode()).decode()
-
-html = html.replace('<link rel="stylesheet" href="styles.css" />', f'<style>\n{css}\n</style>')
-html = html.replace('<script src="data.js"></script>', f'<script>\n{data}\n</script>')
-html = html.replace('<script src="app.js"></script>',  f'<script>\n{app}\n</script>')
-html = html.replace('href="icon.svg"', f'href="{icon_uri}"')
-
-Path("$OUT").write_text(html)
-print(f"built single-file index.html: {len(html):,} bytes")
-PY