Agent QA Must Inspect the Execution Process
HaktanSuren · x · 2026-07-14
This post makes a direct point: an AI agent's task isn't finished just because it "got the right answer," as it might have produced a seemingly correct response using the wrong tools, wrong permissions, or while in an erroneous state.
Therefore, agent quality control shouldn't just check if the final output looks correct. It must also inspect what actions the agent took, what it modified, and whether it triggered unauthorized permission or state changes after responding.
Related event: AI Safety Focus Shifts from Model Output to Agent Execution Risks(9 posts)→
More from coding & agent
- Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11
- Kimi K2.8 Preview rolls out: near-K3 coding performance, 1M context for all tiers — teortaxesTex · 2026-09-11
- Looking for a classifier of software engineering task shapes to pick models per task — StewartalsopIII · 2026-09-11
- Steal this idea: prompt-to-hardware where agents assemble custom devices — paraschopra · 2026-09-11
- Model Is the Least Interesting Part: A Guide to Six Core AI Architectures from RAG to Multi-Agent — goyalshaliniuk · 2026-09-11
- Non-coder builds layered memory architecture: 20k tokens tracks a year of agent conversations — matteoianni · 2026-09-11