Latent vs. Deterministic Space

Garry Tan's diagnostic for agent-system bugs: computation lives in two places — latent space (the LLM: taste, judgment, vague-intent interpretation, steered by markdown) and deterministic space (generated code, external state) — and most AI-engineering failures are computation happening on the wrong side; now with one measured instance, where moving four policy rules out of a prompt document into Python predicates over database state recovers +12.4pp of agent task success