docs: canonical Deep Dive index with test proof
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- Adds docs/CANONICAL_INDEX_DEEPDIVE.md declaring intelligence/deepdive/ authoritative - Records 9/9 pytest passing as hard proof - Maps legacy paths in bin/, docs/, scaffold/, config/ - Ezra burn mode artifact for #830 continuity
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# Canonical Index: Deep Dive Intelligence Briefing Artifacts
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> **Issue**: [#830](http://143.198.27.163:3000/Timmy_Foundation/the-nexus/issues/830) — Deep Dive: Sovereign NotebookLM + Daily AI Intelligence Briefing
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> **Created**: 2026-04-05 by Ezra (burn mode)
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> **Purpose**: Single source of truth mapping every Deep Dive artifact in `the-nexus`. Eliminates confusion between implementation code, reference architecture, and legacy scaffolding.
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---
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## Status at a Glance
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| Milestone | State | Evidence |
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|-----------|-------|----------|
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| Production pipeline | ✅ **Complete & Tested** | `intelligence/deepdive/pipeline.py` (26 KB) |
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| Test suite | ✅ **Passing** | 9/9 tests pass (`pytest tests/`) |
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| TTS engine | ✅ **Complete** | `intelligence/deepdive/tts_engine.py` |
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| Telegram delivery | ✅ **Complete** | Integrated in `pipeline.py` |
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| Systemd automation | ✅ **Complete** | `systemd/deepdive.service` + `.timer` |
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| Build automation | ✅ **Complete** | `Makefile` |
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| Architecture docs | ✅ **Complete** | `intelligence/deepdive/architecture.md` |
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**Verdict**: This is no longer a scaffold. It is an executable, tested system waiting for environment secrets and a scheduled run.
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---
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## Proof of Execution
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Ezra executed the test suite on 2026-04-05 in a clean virtual environment:
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```bash
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cd intelligence/deepdive
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python -m pytest tests/ -v
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```
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**Result**: `======================== 9 passed, 8 warnings in 21.32s ========================`
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- `test_aggregator.py` — RSS fetch + cache logic ✅
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- `test_relevance.py` — embedding similarity + ranking ✅
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- `test_e2e.py` — full pipeline dry-run ✅
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The code parses, imports execute, and the pipeline runs end-to-end without errors.
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---
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## Authoritative Path — `intelligence/deepdive/`
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**This is the only directory that matters for production.** Everything else is legacy or documentation shadow.
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| File | Purpose | Size | Status |
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|------|---------|------|--------|
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| `README.md` | Project overview, architecture diagram, status | 3,702 bytes | ✅ Current |
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| `architecture.md` | Deep technical architecture for maintainers | 7,926 bytes | ✅ Current |
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| `pipeline.py` | **Main orchestrator** — Phases 1-5 in one executable | 26,422 bytes | ✅ Production |
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| `tts_engine.py` | TTS abstraction (Piper local + ElevenLabs API fallback) | 7,731 bytes | ✅ Production |
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| `telegram_command.py` | Telegram `/deepdive` on-demand command handler | 4,330 bytes | ✅ Production |
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| `config.yaml` | Runtime configuration (sources, model endpoints, delivery) | 2,339 bytes | ✅ Current |
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| `requirements.txt` | Python dependencies | 453 bytes | ✅ Current |
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| `Makefile` | Build automation: install, test, run-dry, run-live | 2,314 bytes | ✅ Current |
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| `QUICKSTART.md` | Fast path for new developers | 2,186 bytes | ✅ Current |
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| `PROOF_OF_EXECUTION.md` | Runtime proof logs | 2,551 bytes | ✅ Current |
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| `systemd/deepdive.service` | systemd service unit | 666 bytes | ✅ Current |
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| `systemd/deepdive.timer` | systemd timer for daily 06:00 runs | 245 bytes | ✅ Current |
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| `tests/test_aggregator.py` | Unit tests for RSS aggregation | 2,142 bytes | ✅ Passing |
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| `tests/test_relevance.py` | Unit tests for relevance engine | 2,977 bytes | ✅ Passing |
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| `tests/test_e2e.py` | End-to-end dry-run test | 2,669 bytes | ✅ Passing |
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### Quick Start for Next Operator
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```bash
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cd intelligence/deepdive
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# 1. Install (creates venv, downloads 80MB embedding model)
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make install
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# 2. Verify tests
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make test
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# 3. Dry-run the full pipeline (no external delivery)
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make run-dry
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# 4. Configure secrets
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cp config.yaml config.local.yaml
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# Edit config.local.yaml: set TELEGRAM_BOT_TOKEN, LLM endpoint, TTS preferences
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# 5. Live run
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CONFIG=config.local.yaml make run-live
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# 6. Enable daily cron
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make install-systemd
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```
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---
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## Legacy / Duplicate Paths (Do Not Edit — Reference Only)
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The following contain **superseded or exploratory** code. They exist for historical continuity but are **not** the current source of truth.
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| Path | Status | Note |
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|------|--------|------|
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| `bin/deepdive_*.py` (6 scripts) | 🔴 Legacy | Early decomposition of what became `pipeline.py`. Good for reading module boundaries, but `pipeline.py` is the unified implementation. |
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| `docs/DEEPSDIVE_ARCHITECTURE.md` | 🔴 Superseded | Early stub; `intelligence/deepdive/architecture.md` is the maintained version. |
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| `docs/DEEPSDIVE_EXECUTION.md` | 🔴 Superseded | Integrated into `intelligence/deepdive/QUICKSTART.md` + `README.md`. |
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| `docs/DEEPSDIVE_QUICKSTART.md` | 🔴 Superseded | Use `intelligence/deepdive/QUICKSTART.md`. |
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| `docs/deep-dive-architecture.md` | 🔴 Superseded | Longer narrative version; `intelligence/deepdive/architecture.md` is canonical. |
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| `docs/deep-dive/TTS_INTEGRATION_PROOF.md` | 🟡 Reference | Good technical deep-dive on TTS choices. Keep for reference. |
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| `docs/deep-dive/ARCHITECTURE.md` | 🔴 Superseded | Use `intelligence/deepdive/architecture.md`. |
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| `scaffold/deepdive/` | 🔴 Legacy scaffold | Pre-implementation stubs. `pipeline.py` supersedes all of it. |
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| `scaffold/deep-dive/` | 🔴 Legacy scaffold | Same as above, different naming convention. |
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| `config/deepdive.env.example` | 🟡 Reference | Environment template. `intelligence/deepdive/config.yaml` is the runtime config. |
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| `config/deepdive_keywords.yaml` | 🔴 Superseded | Keywords now live inside `config.yaml`. |
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| `config/deepdive_sources.yaml` | 🔴 Superseded | Sources now live inside `config.yaml`. |
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| `config/deepdive_requirements.txt` | 🔴 Superseded | Use `intelligence/deepdive/requirements.txt`. |
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> **House Rule**: New Deep Dive work must branch from `intelligence/deepdive/`. If a legacy file needs to be revived, port it into the authoritative tree and update this index.
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---
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## What Remains to Close #830
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The system is **built and tested**. What remains is **operational integration**:
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| Task | Owner | Blocker |
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|------|-------|---------|
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| Provision LLM endpoint for synthesis | @gemini / infra | Local `llama-server` or API key |
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| Install Piper voice model (or provision ElevenLabs key) | @gemini / infra | ~100MB download |
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| Configure Telegram bot token + channel ID | @gemini | Secret management |
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| Schedule first live run | @gemini | After secrets are in place |
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| Alexander sign-off on briefing tone/length | @alexander | Requires 2-3 sample runs |
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---
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## Next Agent Checklist
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If you are picking up #830 (assigned: @gemini):
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1. [ ] Read `intelligence/deepdive/README.md`
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2. [ ] Read `intelligence/deepdive/architecture.md`
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3. [ ] Run `cd intelligence/deepdive && make install && make test` (verify 9 passing tests)
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4. [ ] Run `make run-dry` to see a dry-run output
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5. [ ] Configure `config.local.yaml` with real secrets
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6. [ ] Run `CONFIG=config.local.yaml make run-live` and capture output
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7. [ ] Post SITREP on #830 with proof-of-execution
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8. [ ] Iterate on briefing tone based on Alexander feedback
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---
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## Changelog
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| Date | Change | Author |
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|------|--------|--------|
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| 2026-04-05 | Canonical index created; 9/9 tests verified | Ezra |
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