Find where the model fails before users do
Customized pipeline testing to ensure models and agents deliver.
- Case 213: fail, prompt injection
- Case 087: fail, wrong tool call
- Case 341: fail, unsafe completion (red team)
Evaluation at MENADevs
We measure a model against the work it has to do, then probe it for safety and reliability gaps.
How an evaluation runs
- 01Define the task
We turn the job the model must do into tasks with clear pass and fail criteria.
- 02Build the suite
Experts write test cases, rubrics and graders. Agents get runnable, multi-step environments.
- 03Run and grade
The model runs the suite. Programmatic graders and expert reviewers score the results.
- 04Probe and report
A red team attacks the weak points, and you receive the failures with examples.
What we test with
Measured on speed, security and accuracy.
Benchmarks
Task-specific rubrics, programmatic graders and private test sets.
Red teaming
Adversarial testing for safety and reliability gaps.
RL environments
Runnable multi-step tasks with verifiable rewards, for training and testing agents.
Custom pipelines
Testing built around your model, your data and your definition of correct.
Evaluation and Geographies
- Who it is for
- Teams shipping a model or an agent
- What you get
- A test suite, graded results and a findings report
- What we measure
- Speed, security and accuracy
- Shown in our work
- Herb, AI testing and evaluations (2025)