Autonomous Job Search AI Agent

I built an autonomous AI agent that executed a complete job search workflow without human intervention: parse uploaded resume → search the web for relevant listings → scrape and analyze job pages → evaluate candidate-job fit → compose and send personalized email summaries. The entire pipeline runs as a single user command.

Implemented OpenAI function calling with five custom tools (web search, page scraping, content analysis, resume parsing, email sending) and an autonomous iteration loop where the agent decides which tools to invoke and when the task is complete. Built a Streamlit UI with real-time execution logging so users can watch the agent's reasoning process step by step.

PM Takeaway: Reliability is the product in agentic systems. When the agent calls 5 tools in sequence and any one of them can fail, the overall success rate drops exponentially. I learned that the real PM challenge isn't building agents that work — it's building agents that fail gracefully, retry intelligently, and know when to ask for help instead of looping forever.