The Prompt Engine aims to automatically choose the best large language model (LLM) based on user prompts. However, there is skepticism regarding the practicality of model routing. Critics argue users often tune prompts for specific models rather than switch models dynamically. They raise concerns about the intelligence required for effective prompt routing and suggest that the current models may be sufficient for most usage scenarios. As OpenAI and Anthropic prepare to offer sufficient routing solutions, the need for advanced routing technologies diminishes. The discussion also highlights the challenges in annotating datasets for smaller models and the subjective nature of outputs from large models, questioning the value of model classification when quality differences are minimal or fleeting.