Why AI Agents Need Better Team Architecture, Not Just Better Models
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A more capable model does not automatically create a more reliable agent system. Most current harnesses ask one model to plan, execute, review, and recover inside the same loop. Minotauris explores a different architecture: a Leader, Managers, Workers, and an Assembly with separate responsibilities. This article examines why role separation, critique before execution, and coordinated computer control may matter as AI moves beyond chat.
1Key Takeaways
- A more capable model does not automatically create a more reliable agent system.
- Most current harnesses ask one model to plan, execute, review, and recover inside the same loop.
- Minotauris explores a different architecture: a Leader, Managers, Workers, and an Assembly with separate responsibilities.
- This article examines why role separation, critique before execution, and coordinated computer control may matter as AI moves beyond chat.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a more capable model does not automatically create a more reliable agent system.
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