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Apple Researchers Introduce Agent Seer for Generating AI Agent Test Scenarios

This story is from 2026-08-28. It is preserved in the archive; the latest stories are on the live feed.

Apple's Machine Learning Research team detailed Agent Seer, a method for synthesizing realistic test scenarios for AI agents that use external tools, addressing the need for scenarios capturing tool composition and multi-turn interactions.

Read the full story at Apple Machine Learning Research ↗

Timeline · 1 report

  1. 2026-08-28 00:00 · Apple Machine Learning Research
    Agent Seer: Synthesizing Scenarios from Specification Understanding

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