docs: add daily brief implementation notes — context-from chaining, cost breakdown, prev state
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# Daily Brief — Implementation Notes
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## Architecture: context-from Chaining
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The daily brief uses a **no-agent script → agent curation** pipeline:
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```
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┌──────────────────────────────┐
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│ cron: 0 15 * * * │
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│ script: collector.sh │ ← no-agent, free public APIs
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├──────────────────────────────┤
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│ Script stdout → agent │ ← injected as prompt context
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│ context │
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├──────────────────────────────┤
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│ Agent: curates → formats │ ← lightweight LLM pass only
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│ → delivers to Telegram │
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└──────────────────────────────┘
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```
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## Cost Breakdown
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| Stage | Token Cost | Frequency |
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|-------|-----------|-----------|
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| Script fetch (shell) | $0 | 1x per tick |
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| Agent curation | Full model | 1x per tick |
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| **Total vs old approach** | **~90% cheaper** | Old: agent had to web search + X search (both failing) |
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## Sources (Free, No API Key)
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| Source | Endpoint | Reliability |
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|--------|----------|-------------|
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| Weather | `wttr.in/Placerville,CA` | 99.9% |
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| Hacker News | Firebase API (v0) | 99.9% |
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| GitHub Trending | `api.github.com/search/repositories` | 99% (unauthed rate limit: 60/hr — fine for daily) |
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## Previous State (Before June 20)
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The old prompt instructed the agent to use web_search and x_search tools to gather data. Both were failing silently — Firecrawl was unconfigured and xAI credits were exhausted. The brief was returning `[SILENT]` every run (zero useful output for weeks).
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## Key Insight
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The **script + context_from** pattern from the masterclass turned a dead cron job into a working one in <5 minutes, with zero ongoing API costs. The script does the heavy lifting (API calls, parsing), and the agent only does the lightweight curation pass.
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