Evaluate and Benchmark AI Models Before You Commit
Run a full model evaluation and pick a winner in about an hour.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Define Evaluation Criteria
Decide upfront which criteria matter most for your use case, typically accuracy, cost, and response speed.
Tools
No catalog tool specified
Step 2
Run the Same Task Across Multiple Models
Use OpenRouter to send the identical prompt to several different models so you can compare outputs directly.
Step 3
Score Outputs Against Your Rubric
Feed the outputs into Braintrust to score each model's response against your defined evaluation criteria.
Step 4
Standardize on the Winner
Lock in the top-scoring model as your default for that task going forward.
Tools
No catalog tool specified
Time Required
1 hour
Expected Result
A scored comparison across multiple AI models on your actual use case, with a clear winner to standardize on.
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