Jabrod Evals
Know when your AI is wrong, before your customers do.
Evaluation for AI applications in production: retrieval, agents and support assistants.
Eval report
Example- Grounded in sources71%Answers cite pages that do not support them
- Tool call arguments64%Dates passed in the wrong format
- Correct refusals88%Out-of-scope questions answered anyway
- Policy and tone93%Refund terms stated inaccurately
01
Collect
A test set drawn from your real queries and conversations, labelled with your team.
02
Score
Every answer checked for grounding, correctness, refusals and tool use.
03
Fix
The failures traced to their cause, the fixes shipped, and the scores run again.
AI Eval Sprint
Ten days, fixed scope.
- An eval harness that runs in your stack
- A labelled test set from your real traffic
- A report on where and why the system fails
- The fixes shipped, with scores before and after
After the sprint
Monthly regression runs
The same suites, run against every model or prompt change.
Quoted after the sprint
Test your AI on your own traffic.
Start free