The AUTO mode is a smart idea - routing to the right model based on task type eliminates decision fatigue. The real differentiation here vs. ChatGPT's model selector is you're predicting what works best rather than making users choose blind. Question: how does it handle cost optimization across models? Some tasks don't need GPT-4o or Claude - knowing when to downgrade to cheaper alternatives could be a game-changer for power users.