AgentFlow: when the agent's workflow learns

For two years, the field has gotten very good at training models, and it still hand-wires the agents around them. Whether an agent plans, searches, calls a tool, or checks its own work before answering is decided by a developer in prompts and orchestration logic. That hand-built workflow never learns, and as tasks get longer and tools multiply, it’s where agents start to break.