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Substrate-Aware AI Agents: Execution Context as a First-Class Input

Autonomous AI agents increasingly select actions in environments whose memory, execution-time, runtime, compute, and operational constraints determine what counts as a suitable plan. We call the absence of this execution context from an agent's planning state substrate blindness. We test this general proposition through numerical code generation, where selected implementation choices and…

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Rehearse Agent Token Ceilings on Free Servers

An agent that never stops looks a lot like an agent that is working. Rehearse the token ceiling on a free server with a hard stop rule so you meet BUDGET_EXHAUSTED in a test, not on a paid invoice.

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