We're watching something shift in how teams architect their agent systems. The planning logic that used to live in orchestration code is migrating into foundation models themselves. Gemini 2.0 ships with "native tool use." OpenAI's o3 emphasizes reasoning baked into the model. Nvidia's Nemotron 3 optimizes specifically for agentic workflows.
Running millions of browser sessions daily, we see teams wrestling less with "how do I teach this model to plan?" and more with "how do I coordinate models that already plan?" The orchestration layer isn't disappearing. It's changing jobs. Less prompt engineering, more traffic control.
This matters because reliability questions transform. When reasoning lived in your code, you debugged your logic. When it lives in the model, you're evaluating whether the model's native planning matches your requirements. Different problem entirely. The next six months will separate teams who grasp this from teams still fighting the old battle.