v1.0.124
v1.0.124
Evals are the unit tests of AI. Build and run them here. Ship on scores, not vibes.
Start where the field already measures itself: MMLU to SWE-bench to GPQA, on gpt-5, Claude, Gemini, or your own endpoint. Swap the model, get a directly comparable score. Nothing to wire up. It's proof the engine works, and the floor the tests for your product stand on.
A leaderboard score isn't your product. Your product is a model wired into prompts, tools, retrieval, and your data, and that's what has to keep working. Tell an operator what it must get right, in plain words, and it builds a real, graded benchmark of your product. No code, ever.
Bring a goal, not a config. The operator turns a sentence about your product into a real, graded benchmark, and keeps it running on every change.
One operator runs the whole loop: build from your own data, run it on each model or prompt you try, and analyze the samples when a number looks off.
Rate limits, dead sandboxes, a flaky grader; a run breaks a hundred ways. Operators catch each one and fix it mid-flight. You set a budget and a deadline; the work finishes inside them, or tells you why.
Here's the shape of it. Say you want a benchmark that checks your support bot never approves an out-of-policy refund. The first run pays an operator to build and calibrate it; every run after is just compute, and it keeps getting cheaper as the setup hardens.
The first run is mostly operator cost. The LLM authors the scorer, tests it against your examples, and stands up the setup. Every rerun skips all that, so it's just the sandbox seconds plus the model you're testing.
And the setup isn't frozen. When a rerun trips on a flaky case, the operator hardens the scorer to handle it, so reruns get steadier and cheaper as you go, climbing from about 3× cheaper toward 10× once it settles. Compute and model pass through at provider cost, itemized, no markup.
▶ See pricingSlide to your scale. The founding cohort locks 50% off for life. Seats are free, compute is pass-through at cost, and public runs are unlimited.
Point Benchwright at the AI in your product and get a score you can put in a release note, in minutes, at cost.