Failproof AI
End-to-end reliability for AI agents. Traces every run at the agent runtime, finds where agents fail on its own, and lets you author and enforce a policy that stops the bad action in realtime - deployed on-prem or in the cloud.
Braintrust
Eval-first platform: datasets, scorers, experiments, and regression testing in CI. Built to measure and improve output quality before you ship.
| capability | Failproof AI | Braintrust |
|---|---|---|
| Built for | AI agents | LLM evals |
| Lifecycle stage | Runtime (production) | Pre-ship (CI) |
| Autonomous failure finding | Automatic | Offline scorers |
| Policy authoring | Yes | No |
| Realtime policy enforcement | Yes, realtime | No |
| Eval datasets & CI regression | No | Yes |
| Deployment | Local, on-prem, cloud | Cloud / hybrid |
Choose Failproof AI when
- you run high-impact autonomous agents that take real actions
- a wrong action is costly or irreversible
- you need to stop failures at runtime, not just trace them
- you want an end-to-end reliability solution, on-prem or cloud
Choose Braintrust when
- you want a rigorous offline eval workflow
- you need CI regression testing on prompts and outputs
- your focus is pre-ship quality, not runtime governance
FAQ
Does Braintrust enforce anything at runtime?
Not in the sense of stopping an action - it evaluates and logs. Failproof AI finds failures autonomously and enforces at the agent runtime once agents are live.
Can a good eval score prevent a bad agent action?
No - a score describes past outputs; it cannot stop the next live action. Failproof AI does, at the runtime.
Can I use both?
Yes - gate quality in Braintrust, enforce behavior with Failproof AI.