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llm-reliability.

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Training Agents on What Actually Matters: Database State Over Tool Calls

How executable rewards from terminal database state can train more reliable AI agents than traditional benchmarks, with real results from ThinkingBox.

Why Your AI Agent Passed Once But Failed 19 Times

ThinkingBox reveals agents pass single attempts but fail on repeat. 67% of failures look clean. The gap between capability and consistency is the real problem.
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