Failproofai

Failproof AI is a reliability layer for teams running autonomous coding agents in production. It traces every run end to end, capturing each prompt, tool call and result, then groups recurring breakdowns into named failure modes such as infinite loops, calls to tools or files that do not exist, drift away from the original goal, work that continues after the task is already complete, and destructive commands. Each mode can be turned into a policy that is enforced while the agent runs, so the failure is blocked rather than discovered afterward in logs. It targets engineering teams whose agents cannot be left unsupervised. Sessions replay step by step, failures cluster themselves into ranked issues with a severity and a session identifier, and enforcement happens through 39 built in policies plus custom policies written by the user. One surface covers every harness, including Claude Code, Cursor, Codex and Gemini CLI, and the product is available as a command line tool, an MCP server and a set of dashboards. The core is open source under the MIT license and can be self hosted. Pricing is published in four tiers. Free Forever costs $0 and includes a hard cap of 5,000 runs per month with no overage, 100 evaluations, three failure audits, 30 day retention, a single user and unlimited agents. Team is $99 per month with 50,000 runs then $1.00 per thousand runs, 50,000 evaluations then $0.05 each, unlimited audits at one per day, five users, the command line tool and MCP server, $20 of AI credits and Slack support. Scale is $599 per month with 500,000 runs then $0.60 per thousand, 500,000 evaluations then $0.04 each, 90 day retention, unlimited users, automatic policy authoring, role based access control and single sign on. Enterprise pricing is quoted, adding on premise deployment, multi tenant policy enforcement and compliance reporting.