The PM Mental Model for LLM Agent Architectures
Traditional software engineering is deterministic: `f(x) = y`. You write acceptance criteria, QA writes test cases, and if they pass, the feature ships. Generative AI and multi-agent systems, by contrast, are probabilistic.
As Product Managers in the AI era, our primary product specification is no longer a static UI wireframe — it is the Evaluation Dataset (Evals) and the Guardrail Decision Engine.
Key takeaway: Treat eval benchmarks as your automated regression test suite. A feature only ships when model accuracy exceeds 95% on golden evaluation sets.