Who it is for
AI architects and teams evaluating model options.
What problem it solves
A single default model rarely fits every quality, latency, privacy, and cost requirement.
How it works
Evaluate model choices, routing preferences, architecture use cases, and cost considerations within project context. It uses the current project or research context so each step remains connected to the work around it.
Key capabilities
- Project model preferences
- Task-aware model selection
- Cost and architecture considerations
- Provider comparison context
Example use case
Document model preferences for retrieval, reasoning, and structured extraction tasks.
Limits and verification
Only providers and models confirmed by the current product should be treated as supported.