The pitch is seductive. AI agents that can write code, generate content, research markets, draft emails, and manage projects — all autonomously. And individually, they deliver. A single Claude Code session can build a feature from scratch. A single GPT agent can produce a solid first draft of nearly anything.
The trouble starts when you try to run more than one.
Not theoretically. Practically. Open three agent sessions, assign them related tasks, and watch what happens over the next 48 hours. You will discover failure modes that no one warned you about — not because they are obscure, but because most people have not tried running agents as a team yet.
I have. Here are the seven things that broke, and what actually fixes them.
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