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.
DBOS
Durable workflow orchestration built into your code - lightweight durable execution with Postgres-backed state, as a library rather than an external orchestrator.
| capability | Failproof AI | DBOS |
|---|---|---|
| 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 (library) / 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 DBOS when
- you want durable execution as a lightweight in-code library
- you are already on Postgres and want simple durable workflows
- your problem is process durability, not agent decisions
FAQ
Is DBOS an alternative to Failproof AI?
No - complementary. DBOS makes the workflow durable; Failproof AI makes the agent decisions inside it reliable. DBOS recovers and retries a step, but cannot tell a wrong action from a right one.
Does DBOS make AI agents reliable?
It makes them durable, not correct. Failproof AI adds the semantic reliability layer - tracing, failure finding, and enforcement on agent actions.
Can I use both?
Yes - DBOS for durable execution, Failproof AI for agent reliability and enforcement inside the workflow.
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