LLMs Are Probabilistic. Your Workflow Shouldn't Be. (opens in new tab)

Most AI app demos make the same mistake: they treat the model like the application. Prompt in, answer out, maybe a few tool calls, then everybody acts surprised when the thing becomes weird in production. The problem is not that the model is useless. The problem is that we keep asking a probabilistic component to behave like deterministic workflow code. That is the wrong boundary. The better pattern is simpler: let the model interpret let software validate let the workflow own state let high-...