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Stacking more AI agents doesn't make your system smarter — it breaks it. Learn the real fix: why less complexity, one clean memory, and simple 1:1 agent setups outperform giant multi-agent stacks.
00:00 Intro – Why multi-agent systems break
00:51 Common Mistake – API keys vs subscriptions
1:23 Clean Setup Example – One agent, one job
2:02 The Trap – Stacking models & personas
2:31 Key Rule – Fewest moving parts wins
3:35 Model Rotation Fails – Don't automate switching
4:50 Fix – Use built-in agent mastermind
5:07 Memory Mistake – Too many tools, no sync
5:58 Lean Memory – Keep only what agents need
6:07 Big Takeaway – Complexity breaks agent OS
6:25 Build Order – Add one agent at a time
7:09 Next Steps – Free automation strategy session

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