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Thought Leadership

Smart Routing Isn't Enough: Why AI Coding Needs Proof, Not Prediction

Smart model routers promise to pick the optimal AI model for every coding task. But without a full picture of your Engineering World Model, no router can prove its choice actually paid off. This session covers why even the best routers can't close the visibility gap in AI-native software factories, and what you can do about it.

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A new wave of smart model routers claims to automatically send each coding task to its optimal AI model, but routing without proof is just a faster guess. Without a full picture of your Engineering World Model, including your data, your agents, and your workflows, no router can tell you whether its choice actually produced better outcomes.

This session unpacks why even the most sophisticated model routers can't close the visibility gap in AI-native software factories, and what you can do about it.

Speakers

Chase Norton

Head of AI

,

Faros