Agents completing every step can still hurt outcomes — how to evaluate them?
djgoel123 · reddit · 2026-10-28
A Reddit user raises a core agent-evaluation question: an AI agent can successfully complete every step in a workflow and still produce a bad business outcome.
Example: a support agent closes 95 of 100 tickets without human involvement — impressive automation metrics — but if 20 customers reopen tickets because responses solved nothing, the customer experience is poor.
The poster asks how others measure agent performance beyond task completion: downstream outcomes, corrections, satisfaction scores, and which metric has proven most useful in practice.
More from coding & agent
- Try SPARQL locally in five minutes with Oxigraph's serverless Python triple store — JeremyCMorgan · 2026-10-28
- Build One Folder That Teaches Claude Your Entire Business — aryanXmahajan · 2026-10-28
- 41 leftover git worktrees eat 45GB: fix it with a cleanup rule in AGENTS.md — dotey · 2026-10-28
- One prompt fixes AI-generated duplicate code: ask it to dedupe and simplify the architecture — facontidavide · 2026-10-28
- 10 open-source repos that rewrite prompts and evolve agent workflows — victor_explore · 2026-10-28
- The Trinity: recursive self-improvement for multimodal agents via capability trees — Weidong Tang · 2026-10-28