Eval Scores Aren't Business Value: How Do You Prove Your AI Agents Work?
Embarrassed-Radio319 · reddit · 2026-10-02
- The poster highlights a common gap: agents improve on accuracy or cost individually while the end-to-end process barely moves. A triage agent at 75% accuracy plus a correction agent matters less than the real metric — tickets completed with zero human touch (possibly 95%); neither agent's own score captures that.
- Three open questions: what metric defines an agent "working", per-agent vs per-process measurement, and whether customers are already demanding ROI proof and traceability.
- Disclosure: the author works at Phinite, building an intelligence layer and "value loop" tying agent runs to business metrics, recruiting a 90-day-free startup cohort — the post doubles as promotion.
More from coding & agent
- Cloudflare opens Artifacts beta: a Git-native filesystem for building the next GitHub for agents — neal_lathia · 2026-10-02
- Building a reliable risk agent without frontier models: $0.02 per sweep, 250x cheaper than an LLM judge — alexcovo_eth · 2026-10-02
- Grok launches Bot Marketplace letting users add specialized AI agents for engineering, sales and more — Polymarket · 2026-10-02
- One prompt builds an agent-agnostic TMDB MCP with generative UI via Grok — Baconbrix · 2026-10-02
- Arcmira MCP ships rapid backend updates for agentic video editing with Claude — zealcaiden · 2026-10-02
- Trick: Have Grok Build a Custom MCP Connector to Render Rich Data in Chat — Baconbrix · 2026-10-02