How I Added 2+2 Using 97 AI Agents

I built 97 blocks of YAML, 8 AI specialists, and 18 phases of deliberation to answer a question every five-year-old knows: what is 2 + 2? It took the system about four minutes to reach a unanimous verdict: 4. Along the way, a mathematician invoked Peano axioms, a philosopher questioned whether numbers exist, a poet called four "the universe's quietest poem," and a child said "it's 4, everybody knows that." The most interesting character had only 72% confidence. This is how I built Rein , an open-source orchestrator for multi-agent AI workflows, and why I tested it on the most over-engineered arithmetic problem ever created. Read full transcript: 89 blocks, all specialist outputs --> The problem I have a dozen AI agents on my server. Research agents, code reviewers, content writers, critics. Each one works fine alone. Getting them to work together is the problem. One massive prompt with all the instructions works for simple tasks. For anything with more than two steps, the model forgets