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All blog posts, tools, and guides about Agent Evals from Developers Digest.
2 resources - 2 posts

Salesforce's StateAct paper argues that long-horizon computer-use agents should inspect files, DOM, and saved outputs directly instead of treating screenshots as the whole world.

LangChain's rubrics for Deep Agents point at a practical agent pattern: self-correction works only when rubrics are versioned, executable, and sampled against human review.
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