Failproof AI is the end-to-end failure layer for teams building AI agents.

It closes one loop: observe every run end to end, identify where agents fail, write a policy that stops it, and enforce it live in realtime, so the bad action never runs and the agent gets steered to what to do instead.

• Observe every run: See every prompt, tool call, and result from every agent, traced live and replayable step by step.

• Identify where agents fail: Failures cluster into named modes like loops, hallucinated calls, and drift, surfacing patterns without manual digging.

• Ship a policy that stops it: Use drop-in, one-line, local-only policies. Choose from 39 built-in policies or write your own. Example: on loop_detected → deny, break + summarize, restart

• Enforced live, across every harness: The policy fires in realtime, preventing bad actions and steering the agent.

Works with all your agents, including Claude Code, OpenAI Codex, Cursor, Copilot, Gemini CLI, picode, opencode, and more. A drop-in, local-only CLI with 39 built-in policies.

Key Features:

• Monitoring of every prompt, tool call, and result.

• Automated failure clustering into modes like loops, hallucinations, and drift.

• Real-time policy enforcement to prevent undesirable actions.

• Compatibility with a wide range of AI agent frameworks and tools.

• Free to use with the command: npm i -g failproofai