When an AI agent says “done” how do you know it actually happened? [P]

Reddit r/MachineLearning News

Summary

The article explores an early concept called agentuptime, which addresses verifying AI agent actions by independently checking outcomes to ensure that an agent's completion claim matches the actual state of external systems.

i’m testing an early concept called agentuptime. there’s no product or sdk yet. the idea came from something that keeps bothering me with agents: an agent saying “done” doesn’t necessarily mean the thing actually happened. a tool can return success, the trace can look fine, and the external system can still end up in the wrong state. so i’m experimenting with a small “receipt” concept where the agent’s claim is separate from an independently checked outcome. something like: database write → can the record actually be read back? api action → does the provider now show the expected state? agent handoff → did the other agent actually receive it? i’m trying to figure out whether this deserves its own layer or whether tracing + custom checks already solve it well enough. if you run agents with real side effects, what action would be hardest to verify? https://agentuptime.dev
Original Article

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