Turn representative production tasks into a small, controlled dataset.
PHASE 04 / EVALUATION STUDIOTest a model
Test a model
before it tests you.
One good answer proves very little. A controlled dataset reveals the pattern.
Run real models through the same workload, measure completion, requirements, latency, tokens, and cost, then add human judgment and export the evidence.
Send identical instructions and settings to two to four real models.
Combine measurable requirement coverage with deliberate human review.
Compare quality, reliability, speed, tokens, and total test cost.
Save locally, export the full record, or print a decision-ready report.
Turn a real workload into a repeatable test.
Start from a proven template or define your own cases. Every selected model receives the same system instruction, prompt, temperature, and output limit.
TEST DATASET
3 controlled cases
01
02
03
Choose two to four real models.
The complete dataset runs against every selected model. Lower the case count if you want a faster, cheaper first pass.
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03 / RUN CONTROLLED TEST
3 cases × 3 models
9 total answers · deterministic temperature · maximum 700 output tokens per answer
Recent evaluation history
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