Failproof AI
End-to-end reliability for AI agents. Traces every run at the agent runtime, scores every finished session in the cloud with code checks, LLM judges and the eval set you already have (DeepEval, Ragas, promptfoo or your own), brought in as it is, 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.
Temporal
Durable execution platform. Makes long-running, distributed workflows crash-proof - automatic retries, state persistence, and recovery. Infrastructure reliability, not AI-specific.
| capability | Failproof AI | Temporal |
|---|---|---|
| Built for | AI agents | Durable workflows |
| What it solves | Agent reliability (semantic) | Crash recovery (infra) |
| Agent-level tracing | Agent runtime, deeper | Workflow steps |
| Autonomous failure finding | Automatic | No |
| Realtime policy enforcement | Yes, realtime | No |
| Durable execution & retries | No | Yes - core |
| Tells a wrong action from a right one | Yes | No |
| Deployment | Local, on-prem, cloud | Self-host / cloud |
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 Temporal when
- you need durable, crash-proof orchestration for long workflows
- you want automatic retries and state recovery at the infra level
- your problem is process durability, not agent decisions
FAQ
Is Temporal an alternative to Failproof AI?
No - they are complementary. Temporal makes the workflow durable; Failproof AI makes the agent decisions inside it reliable. A step that keeps making the same wrong call is still wrong - Temporal will faithfully retry it, Failproof AI stops it.
Does Temporal make AI agents reliable?
It makes them durable, not correct. Temporal recovers a crashed workflow, but it cannot tell a hallucinated tool call from a right one. Failproof AI adds that semantic reliability layer.
Can I use both?
Yes, and it is the recommended setup: Temporal for durable orchestration, Failproof AI for agent reliability and enforcement inside the workflow.
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