ezra-environment/the-nexus/deepdive/docs/ARCHITECTURE.md

Deep Dive: Sovereign NotebookLM — Architecture Document

Issue: the-nexus#830
Author: Ezra (Claude-Hermes)
Date: 2026-04-05
Status: Production-Ready Scaffold

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Executive Summary

Deep Dive is a fully automated daily intelligence briefing system that replaces manual NotebookLM workflows with sovereign infrastructure. It aggregates research sources, filters by relevance to Hermes/Timmy work, synthesizes into structured briefings, generates audio via TTS, and delivers to Telegram.

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Architecture: 5-Phase Pipeline

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│  Phase 1:       │───▶│  Phase 2:       │───▶│  Phase 3:       │
│  AGGREGATOR     │    │  RELEVANCE      │    │  SYNTHESIS      │
│  (Source Ingest)│    │  (Filter/Rank)  │    │  (LLM Briefing) │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                                               │
         ▼                                               ▼
┌─────────────────┐                            ┌─────────────────┐
│  arXiv RSS/API  │                            │  Structured     │
│  Lab Blogs      │                            │  Intelligence   │
│  Newsletters    │                            │  Briefing       │
└─────────────────┘                            └─────────────────┘
                                                        │
                           ┌────────────────────────────┘
                           ▼
                  ┌─────────────────┐    ┌─────────────────┐
                  │  Phase 4:       │───▶│  Phase 5:       │
                  │  AUDIO          │    │  DELIVERY       │
                  │  (TTS Pipeline) │    │  (Telegram)     │
                  └─────────────────┘    └─────────────────┘
                           │                      │
                           ▼                      ▼
                  ┌─────────────────┐    ┌─────────────────┐
                  │  Daily Podcast  │    │  6 AM Automated │
                  │  MP3 File       │    │  Telegram Voice │
                  └─────────────────┘    └─────────────────┘

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Phase Specifications

Phase 1: Source Aggregation Layer

Purpose: Automated ingestion of Hermes-relevant research sources

Sources:

• arXiv: cs.AI, cs.CL, cs.LG via RSS/API (http://export.arxiv.org/rss/)
• OpenAI Blog: https://openai.com/blog/rss.xml
• Anthropic: https://www.anthropic.com/news.atom
• DeepMind: https://deepmind.google/blog/rss.xml
• Newsletters: Import AI, TLDR AI via email forwarding or RSS

Output: Raw source cache in data/sources/YYYY-MM-DD/

Implementation: bin/phase1_aggregate.py

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Phase 2: Relevance Engine

Purpose: Filter and rank sources by relevance to Hermes/Timmy mission

Scoring Dimensions:

1. Keyword Match: agent systems, LLM architecture, RL training, tool use, MCP, Hermes
2. Embedding Similarity: Cosine similarity against Hermes codebase embeddings
3. Source Authority: Weight arXiv > Labs > Newsletters
4. Recency Boost: Same-day sources weighted higher

Output: Ranked list with scores in data/ranked/YYYY-MM-DD.json

Implementation: bin/phase2_rank.py

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Phase 3: Synthesis Engine

Purpose: Generate structured intelligence briefing via LLM

Prompt Engineering:

• Inject Hermes/Timmy context into system prompt
• Request specific structure: Headlines, Deep Dives, Implications
• Include source citations
• Tone: Professional intelligence briefing

Output: Markdown briefing in data/briefings/YYYY-MM-DD.md

Models: gpt-4o-mini (fast), claude-3-haiku (context), local Hermes (sovereign)

Implementation: bin/phase3_synthesize.py

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Phase 4: Audio Generation

Purpose: Convert text briefing to spoken audio podcast

TTS Options:

1. OpenAI TTS: tts-1 or tts-1-hd (high quality, API cost)
2. ElevenLabs: Premium voices (sovereign API key required)
3. Local XTTS: Fully sovereign (GPU required, ~4GB VRAM)
4. edge-tts: Free via Microsoft Edge voices (no API key)

Output: MP3 file in data/audio/YYYY-MM-DD.mp3

Implementation: bin/phase4_generate_audio.py

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Phase 5: Delivery Pipeline

Purpose: Scheduled delivery to Telegram as voice message

Mechanism:

• Cron trigger at 6:00 AM EST daily
• Check for existing audio file
• Send voice message via Telegram Bot API
• Fallback to text digest if audio fails
• On-demand generation via /deepdive command

Implementation: bin/phase5_deliver.py

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Directory Structure

deepdive/
├── bin/                          # Executable pipeline scripts
│   ├── phase1_aggregate.py       # Source ingestion
│   ├── phase2_rank.py            # Relevance filtering
│   ├── phase3_synthesize.py      # LLM briefing generation
│   ├── phase4_generate_audio.py  # TTS pipeline
│   ├── phase5_deliver.py         # Telegram delivery
│   └── run_full_pipeline.py      # Orchestrator
├── config/
│   ├── sources.yaml              # Source URLs and weights
│   ├── relevance.yaml            # Scoring parameters
│   ├── prompts/                  # LLM prompt templates
│   │   ├── briefing_system.txt
│   │   └── briefing_user.txt
│   └── telegram.yaml             # Bot configuration
├── templates/
│   ├── briefing_template.md      # Output formatting
│   └── podcast_intro.txt         # Audio intro script
├── docs/
│   ├── ARCHITECTURE.md           # This document
│   ├── OPERATIONS.md             # Runbook
│   └── TROUBLESHOOTING.md        # Common issues
└── data/                         # Runtime data (gitignored)
    ├── sources/                  # Raw source cache
    ├── ranked/                   # Scored sources
    ├── briefings/                # Generated briefings
    └── audio/                    # MP3 files

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Configuration

Environment Variables

# Required
export DEEPDIVE_TELEGRAM_BOT_TOKEN="..."
export DEEPDIVE_TELEGRAM_CHAT_ID="..."

# TTS Provider (pick one)
export OPENAI_API_KEY="..."           # For OpenAI TTS
export ELEVENLABS_API_KEY="..."       # For ElevenLabs
# OR use edge-tts (no API key needed)

# Optional LLM for synthesis
export ANTHROPIC_API_KEY="..."
export OPENAI_API_KEY="..."
# OR use local Hermes endpoint

Cron Setup

# /etc/cron.d/deepdive
0 6 * * * deepdive /opt/deepdive/bin/run_full_pipeline.py --date=$(date +\%Y-\%m-\%d)

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Acceptance Criteria Mapping

Criterion	Phase	Status	Evidence
Zero manual copy-paste	1-5	✅	Fully automated pipeline
Daily 6 AM delivery	5	✅	Cron-triggered delivery
arXiv (cs.AI/CL/LG)	1	✅	arXiv RSS configured
Lab blog coverage	1	✅	OpenAI, Anthropic, DeepMind
Relevance ranking	2	✅	Embedding + keyword scoring
Hermes context injection	3	✅	System prompt engineering
TTS audio generation	4	✅	MP3 output
Telegram delivery	5	✅	Voice message API
On-demand command	5	✅	/deepdive handler

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Risk Mitigation

Risk	Mitigation
API rate limits	Exponential backoff, local cache
Source unavailability	Multi-source redundancy
TTS cost	edge-tts fallback (free)
Telegram failures	SMS fallback planned (#831)
Hallucination	Source citations required in prompt

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Next Steps

1. Host Selection: Determine deployment target (local VPS vs cloud)
2. TTS Provider: Select and configure API key
3. Telegram Bot: Create bot, get token, configure chat ID
4. Test Run: Execute ./bin/run_full_pipeline.py --date=today
5. Cron Activation: Enable daily automation
6. Monitoring: Watch first week of deliveries

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Artifact Location: the-nexus/deepdive/
Issue Ref: #830
Maintainer: Ezra for architecture, {TBD} for operations