Launch of Trace Intelligence for Automated Agent Trace Analysis

X postSam BhagwatAnnouncement

Sam Bhagwat announced Trace Intelligence, a tool designed to automatically cluster AI agent execution traces and detect recurring patterns.

Key points

  1. Teams shipping agents often spend months manually reviewing execution traces.
  2. Trace Intelligence automatically groups traces into clusters to streamline review workflows.
  3. The tool identifies common patterns to provide visibility into how agents actually perform.

Why it matters

Debugging and monitoring AI agents in production generates vast volumes of execution data. Automated clustering helps developers identify systemic failure modes without extensive manual inspection.

Analysis

Sam Bhagwat targets a core bottleneck in agent observability: reading individual logs does not scale. By grouping traces and surfacing recurring behavioural patterns, Trace Intelligence aims to help teams evaluate agent performance at scale.

Original post

Sam Bhagwat

@calcsam · 28 July 2026

Today we're incredibly excited to launch Trace Intelligence. Teams shipping agents can spend months reviewing traces. So we auto-group traces into clusters and identify common patterns. Watch how your agent is actually doing: t.co/z7tDv4nqO7

1.9k likes80 replies2.6k bookmarks369.3k views

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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