newsReddit r/MachineLearningTrust 52 · CommunityPublished 7d agoLive · 7d ago
When an AI agent says “done” how do you know it actually happened? [P]
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 indepe
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 57%AgentTrace →
- PossiblePossibly related (embedding) · 57%Self-rewarding agents that retrace failures →
- PossiblePossibly related (embedding) · 55%nicolasmelo1/logion →
- PossiblePossibly related (embedding) · 54%Tracing Agentic Failure from the Flow of Success →
- PossiblePossibly related (embedding) · 53%restatedev/ai-examples →
- PossiblePossibly related (embedding) · 46%Confident at the moment of action: belief miscalibration in LLM play under hidden information →
