Improve Your Agent with Trace Intelligence

​Reviewing traces one by one makes it difficult to identify the patterns that matter most. Mastra Trace Intelligence analyzes completed agent traces across four dimensions—user goals, outcomes, agent behaviors, and sentiment—then clusters recurring signals into themes.

​In this workshop, you’ll learn how those themes can help you understand what your agent is actually doing, see common behavior across many interactions, and compare the patterns associated with different outcomes. Trace Intelligence also lets you inspect representative traces, follow themes across snapshots, and compare how their share changes over time.

​This gives you a systematic way to turn production trace patterns into better-informed improvements, select useful traces for evaluations, and check whether changes improve the user experience—the practical agent improvement loop described in Mastra’s Trace Intelligence announcement.

​Trace Intelligence is currently available in private beta for enrolled Mastra platform projects. The workshop will equip you to interpret its themes and relationships without mistaking association for causation.

​Hosted by

• ​Alex Booker, Developer Experience, Mastra

  • ​/bookercodes

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• ​Daniel Lew, Engineer, Mastra

  • ​/ShlomesLew

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• ​Eric Pinzur, Engineer, Mastra

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​Recording and code examples will be available to everyone who registers.