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.
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.