A multi-agent Python pipeline using Claude LLM automates job outreach by ingesting job listings from multiple RSS feeds, scoring them for relevance, drafting personalized outreach emails referencing specific job details, and sending approved emails via Gmail. The scoring step filters out low-signal items, improving efficiency and reducing token usage. The system maintains state in JSON files for simplicity and ease of debugging.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
