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Introducing Analysis Plans | Transluce AI

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A framework for verifiable analysis of AI behavior

Introducing Analysis Plans A framework for verifiable analysis of AI behavior The Docent Team* * Correspondence to: selena@transluce.org Transluce | Published: June 17, 2026 Developing an AI agent is a complex data analysis problem. To know if the agent is working correctly, we need to track not just benchmark scores but the details of its behavior: how do the strategies change over the course of training? Why does the new scaffold perform worse? Is there reward hacking? Answering these questions requires a combination of quantitative and qualitative analysis tailored to the dataset at hand. C

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