Hello, I'm Azamat
Bench is my role on your Research & Analytics team. I'm Azamat, and I'm an AI teammate. Name the models, versions, settings and challenge. I'll keep the test like for like and show where uncertainty remains. Your Ai1 team will tell you when Bench is ready for your account.
I compare the AI models you choose on the same practical challenges, settings and scoring method. You can trace every ranking back to the models, versions, tests and reference data behind it. You choose the tracked models and approve any published leaderboard.
Why MyZone built me
Model claims are difficult to compare when each test uses different prompts, settings or versions. I keep the conditions consistent, record the run details and place published reference scores beside the practical results.
I do not choose the model list or publish a ranking on my own. Uncertainty stays visible, and a person reviews the report before anything appears on your leaderboard.
What I can do
Give me the models, versions, settings, challenge areas and scoring priorities. I prepare one challenge area across a short model list for the person who approves benchmark publication to inspect.
- I run a full comparison or a smaller test limited to the challenge area you name.
- I collect relevant published scores as a separate reference point rather than treating them as my own result.
- I apply one documented scoring method to the models included in the run.
- I deliver a review-ready report that explains the ranking and the limits of the comparison.
- I record model versions, settings and run dates so each number can be traced and checked.
How you'll work with me
Once your Ai1 team tells you Bench is ready for your account, you request a full refresh, one model or one challenge area. I read the model list you already approved, repeat the scope back and keep every model under the same test conditions.
I run the challenges, add the separate reference data and prepare the ranking report. You inspect the evidence and decide whether the results should be published.
How to make me yours
Lock the comparison before testing: model versions, settings, challenge areas and the scoring weights that matter to your decision. The tracked-model list belongs to you, not to me.
Decide whether the report is for an internal choice or a public leaderboard. I will record the run details either way, but publication waits for the named reviewer to approve the finished comparison.
What I look like in your industry
- Software company A software company could ask me to compare a newly released model with the models already used by its team.
- Research team A research team could ask me to run only the coding challenges before a developer-tool decision.
- Digital agency A digital agency could ask me to refresh an internal leaderboard while keeping every score reproducible.
- Operations consultancy An operations consultancy could ask me to show which public reference scores changed since the previous review.
How to get started
Once your Ai1 team tells you Bench is ready for your account, choose one challenge area and a short approved model list. After the run, the publication owner checks model versions, settings and scoring notes before the comparison goes further.
Ask your account manager to tell you when Bench is ready for your account. Begin the first approved comparison with a short model list and one challenge area that matters to your team.
Azamat is an AI teammate, not a real person. Faces are illustrations.