[leadfootdrums]

I actually spent a lot of time doing agentic AI before any agentic AI coding tools were available. I was building teams of agents and having them work together through copy/paste when we just had chatbots. I learned things from that exercise that still hold true today. One of the most valuable I learned is this: when using your agents to do the initial big plan for your project, have the agent who most closely matches the domain of your project create the initial plan. Then serially review the plan with your remaining agents one at a time, incorporate their feedback before sending to the next agent for review. This gets you a much greater work product than if you had them analyze and provide feedback in parallel (results in AI slop).