How Do You Verify an AI Agent Finished Its Task and Actually Stopped?
csforgeai · reddit · 2026-10-24
A developer building a personal AI automation project called Forge wants a worker to complete one authorized job, return evidence the result is correct, and stop. The design covers explicit completion criteria, tool/file access limited to the task, an action-and-result record, out-of-model result verification, and a reliable stop on completion, failure, or limit.
He asks specifically about the last two: which checks to enforce in ordinary code, what evidence to require before marking success, and how to handle timeouts when a tool call may still be running. He wants existing approaches, docs, or failure cases that changed others' designs.
More from coding & agent
- Harness Engineering explained: the full context that makes AI agents reliable — Pavan_Belagatti · 2026-10-24
- Vercel launches feedback CLI and MCP tool so AI agents can file bug reports directly — steren · 2026-10-24
- In deployment, agents go wrong not by going rogue but by being over-scrupulous — repligate · 2026-10-24
- Dev Builds Agent Harness That Rewrites Its Own Rust Core Mid-Task — No_Skill_8393 · 2026-10-24
- MacBook strapped into a car baby seat so Codex can work while you're out — yihui_indie · 2026-10-24
- Dev: I read and understand far more text since AI entered my coding stack — pramodk73 · 2026-10-24