Autonomy scales intelligence.
But without coordination, it creates conflict.

In this episode of Human × Intelligent, we explore the shift from single-model AI to multi-agent systems and why intelligence at scale starts to behave less like software and more like an organization.

We break down what happens when multiple autonomous agents work together, where things go wrong and how to design for coherence instead of chaos.

You’ll learn:

• Why the 'single model' era breaks under complexity
• How task decomposition enables distributed intelligence
• What agent drift is and why it’s a structural risk and not a bug
• A real travel app case study where agents competed instead of collaborating
• The hidden token costs of multi-agent systems
• A five-layer orchestration blueprint for coordinated intelligence

Autonomy without coordination creates conflict.
Coordination without intent creates noise.
Intent turns systems into teams.

🎧 Next episode: how we move beyond the chat box and design the interface of intent.

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Show notes/links

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