Intelligent Model Serving & Selection

The User Problem This Pattern Solves

The AI landscape is evolving at an explosive pace. Relying on a single AI model from a single vendor creates significant business risk through vendor lock-in. Furthermore, no single model is best for every task; some are optimized for speed and cost, while others excel at complex reasoning. Administrators need the flexibility to choose the right tool for the job and adapt their AI stack as new, better models become available.

The Design Solution & UI Mockup

The solution is a centralized "AI Model Hub" that presents available models—proprietary, open-source, or fine-tuned—in an easy-to-compare format. The UI uses a card-based layout where each card summarizes a model's capabilities, performance metrics, and relative cost. This allows administrators to make informed decisions and deploy different models for different tasks (e.g., a fast, cheap model for summarization vs. a powerful model for code generation), creating a flexible, cost-effective, and future-proof AI strategy.

Key Benefits & Impact

Design Considerations

The key to a successful model hub is providing clear, comparable data so administrators can make informed trade-offs between cost, speed, and capability. The UI should allow for setting different default models for different use cases (e.g., "Default for Chat," "Default for Analysis"). For advanced use, an "intelligent routing" feature could automatically select the best model for a given prompt based on its complexity, further optimizing performance and cost.