2.0 KiB
2.0 KiB
Daily Brief — Implementation Notes
Architecture: context-from Chaining
The daily brief uses a no-agent script → agent curation pipeline:
┌──────────────────────────────┐
│ cron: 0 15 * * * │
│ script: collector.sh │ ← no-agent, free public APIs
├──────────────────────────────┤
│ Script stdout → agent │ ← injected as prompt context
│ context │
├──────────────────────────────┤
│ Agent: curates → formats │ ← lightweight LLM pass only
│ → delivers to Telegram │
└──────────────────────────────┘
Cost Breakdown
| Stage | Token Cost | Frequency |
|---|---|---|
| Script fetch (shell) | $0 | 1x per tick |
| Agent curation | Full model | 1x per tick |
| Total vs old approach | ~90% cheaper | Old: agent had to web search + X search (both failing) |
Sources (Free, No API Key)
| Source | Endpoint | Reliability |
|---|---|---|
| Weather | wttr.in/Placerville,CA |
99.9% |
| Hacker News | Firebase API (v0) | 99.9% |
| GitHub Trending | api.github.com/search/repositories |
99% (unauthed rate limit: 60/hr — fine for daily) |
Previous State (Before June 20)
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).
Key Insight
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.