Agent Lens design: embed all agent conversations to surface top failures worth fixing
_ScottCondron · x · 2026-10-03
Scott Condron details the narrative behind the Agent Lens explainer video: reviewing every conversation is too slow, so their pipeline embeds all conversations into vector space, tags them on CoreWeave infrastructure, and generates insight reports of top failure modes so teams can prioritize what to fix next, with domain experts helping interpret results. The project page shows the UI, plots, and features.
Related event: Developer Uses Opus 5.5 to Explain Agent Lens Observability(2 posts)→
More from coding & agent
- OpenAI DevDay shares 3 takeaways for building ChatGPT plugin extensions — OpenAIDevs · 2026-10-03
- OpenAI Agents API weekly updates: 1-call browser agents, portable environments, 99.97% reliability — OpenAIDevs · 2026-10-03
- Hamel Husain to teach free lesson on cracking the AI Evals interview — HamelHusain · 2026-10-03
- LibLayaX: run the Laya decision model in your app at 670 decisions/sec, no server needed — felipedaragon · 2026-10-03
- A local/remote LLM router dies as new model releases outpace its training — gaviniboom · 2026-10-03
- Dev runs 40-50 coding agents in parallel, ditches local coding for cloud sandboxes — brandon_galang · 2026-10-03