Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era
The article explains how multi‑agent architectures reshape AI product management by exposing structural bottlenecks of single agents, outlines when and how to decompose tasks, and provides concrete design decisions—including orchestration, context passing, failure handling, and human‑in‑the‑loop—to build reliable, high‑quality AI products.
