Most AI agent observability tools (Langfuse, LangSmith, etc.) show you what an agent did after the fact. I wanted something that actually stops a risky action before it runs. Built WorkerZero — you register an agent, define policies (like "require approval if amount > $500" or "block account deletions"), and every proposed action gets evaluated in real time before it executes. Allow / block / require human approval. It's a real working MVP — not a mockup. Live demo.
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I'm 16, self-taught, built this solo over the past few months. Genuinely looking for feedback, especially from anyone running AI agents in production. What am I missing?