LLM evaluation
Prove your AI feature works.
Shipping an AI feature on a hunch is how you end up firefighting after launch. I build an eval suite that measures whether it actually behaves, so you change prompts and models with confidence instead of crossing your fingers.
You ship on evidence
A scored test set tells you if the feature is good enough to launch. No more guessing from a handful of demo prompts.
Changes stop scaring you
Swap a model or edit a prompt and the suite tells you what got better and what broke. Regressions surface before your users find them.
Set up in 2 to 4 weeks
A real dataset, graders that match your definition of good, and a report you can read. Fixed price, code handed to you.
Evals built around your real cases.
A generic benchmark tells you nothing about your product. I build a dataset from your actual inputs and edge cases, then write graders that score for what your business cares about. Some checks are exact, some use a model as the judge, and I calibrate the judge against your own ratings.
- A dataset from your real inputs, not a public benchmark
- Graders for accuracy, tone, format, and safety
- Model as judge, calibrated against how you rate answers
Frameworks
Promptfoo, OpenAI evals, or a custom harness in TypeScript or Python, matched to your stack.
Datasets
Cases pulled from your real usage and the failures that matter, labelled to your standard.
CI checks
Evals run on every change, so a bad prompt fails the pull request instead of reaching production.
Handover
The suite lives in your repo. Your team adds cases and keeps scoring long after I leave.
Where evals pay off.
A few common starting points. We pick the right one on the call.
Pre launch check
Before you ship, a suite that tells you whether the feature is ready and where it still fails.
Regression guardrails
Evals in CI so model and prompt changes cannot quietly break what already worked.
Model comparison
Score two or three models on your own cases so you pick on data, not on marketing.
Find out if it works.
Fifteen minutes on a call and I come back with a plan to measure your AI feature, plus a price and a date.