<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand
<h2> The Problem Nobody Talks About </h2> <p>You've built an agent. You've wired up 100+ tools. You feel good about it.</p> <p>Then it starts hallucinating. Picking the wrong
<p>We talk about agents drifting. We almost never talk about the thing we measure them against drifting. But your golden dataset — the fixtures, expected outputs, and "known good"
<p>Picture a “helpful” agent that can <strong>refund any order</strong> or <strong>delete any database row</strong> the moment the model feels confident. Legal signs off on the
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