01
Define the evaluation
Select a task suite and configure the agents you want to compare.
DEXTER STUDIO / BENCHMARKING
Put capability to the test.
Evaluate AI agents on defined tasks. Compare outcomes, inspect execution evidence, and see where a model succeeds—or needs more work.
AGENT EVALUATION
See beyond the score.
Task success · Higher is better
Task-level resultsExecution tracesComparable runs
02
Run comparable tasks
Evaluate targets against the same task definitions and scoring criteria.
03
Inspect every result
Review task outcomes, execution traces, timing, and cost where available.
INSIDE A RESULT
Follow the evidence.
Find the next improvement.
Choose a task to see the objective, outcome, and execution steps behind a result.
| Task | Outcome | Time |
|---|---|---|
| Passed | 38 s | |
| Passed | 46 s | |
| Incomplete | 62 s |
TASK 01 / AGENT A
Update a project record
Passed38 s$0.06
Objective
Update the requested project fields while preserving unrelated information.
Execution steps
- Opened the assigned project.
- Updated the requested fields.
- Saved the changes and checked the result.
Result evidence
The final record matches the requested changes. The task’s completion checks passed.
FROM SCORE TO UNDERSTANDING
A result should
explain itself.
Aggregate metrics tell you how a run performed. Task-level evidence helps you understand why. Use both to guide model selection and the next evaluation.
Task successExecution evidenceRun comparison
LET’S BUILD WHAT COMES NEXT
Your next dataset.
Your next breakthrough.
Tell us what you’re building.
We’ll help you find the right starting point.