I run an AI product team with 10 specialized agents. A researcher, a PRD writer, a designer who shows me HTML mockups of 3 different UI approaches, an engineer who follows strict TDD, a security auditor that gets cross-model code review, and a few more. Each agent proposes alternatives before committing. Every stage has a "Grill Me" session where the AI challenges my assumptions. The whole thing runs under a single Claude Max subscription. No extra API costs. This started as an OpenClaw setup. It's now 10 markdown files. The problem If you're building a real product, not vibe-coding a side project, you need structure. Someone to validate the idea. Someone to write the spec. Someone to code it. Someone else to break it. Someone to make sure nobody shipped hardcoded API keys to production. That's a team. One big LLM can't replace a team. Context drift, decision fatigue, and the inability to challenge its own work mean you end up with mediocre output even from the smartest model.…