How One Developer Built a Daily AI Agent to Track and Filter Contest Postings

A developer has shared a detailed walkthrough of building an autonomous AI agent using Claude Code that automatically collects contest and grant postings every day. The system parses multiple posting sites, filters out risky contract clauses, and delivers a morning digest — all running on a single Windows PC. A key design principle in the project is defining clear completion criteria upfront, so the AI knows when its work is genuinely done rather than just when code has been written. The agent also flags failed data sources in its reports, ensuring transparency rather than silently skipping errors. The author emphasizes that moving domain-specific checklists — such as eligibility rules and contract red flags — into code structurally prevents human oversight mistakes.