Single vs Multi-Agent AI: A Decision Framework

Most teams are solving the wrong problem In 2026, the most common mistake I see ML engineers and technical founders make is not choosing the wrong model. It is choosing the wrong architecture. They wire up a single LLM call, hit a ceiling at moderate task volume, then bolt on more components without a coordination plan. The result is a system that works in a demo and collapses in production. According to Gartner's State of AI Agents report, organizations are increasingly adopting multi-agent...