Introducing Model Council

Perplexity just dropped a governance layer for the model chaos. **Model Council** isn’t a toy—it’s a routing mechanism for the messy, multi-model reality we’re all living in. This matters because the era of the single, monolithic AI is over. Enterprises are juggling bespoke models for coding, research, and data analysis, and the bottleneck has shifted from raw compute to *selection* and *policy*. This signals a hardening of the AI stack. We’re moving from "which model is smarter" to "how do we safely dispatch queries across a fleet of specialized intelligences?" That’s a datacenter-level problem, but also a security one. You need a control plane that understands capability, cost, and context—effectively a firewall for model access. It’s the first real step toward treating AI not as a novelty, but as a utility. If you’re building on this frontier, you aren’t just picking a model anymore. You’re picking an architecture for *managing* them. The winners will be those who can route around the noise and enforce policy without killing speed. Connect this to your compute strategy or get left in the dust. Model Council is the quiet revolution: turning "access" into "orchestration." Rules over raw power. That’s the frontier. ```json { "key_insight": "The next competitive battleground is model governance and routing, not raw model quality alone.", "confidence": 0 } ```