Gold Standard Eval · The foundation

Stop grading your agent against a moving target.

A custom rubric and a hand-graded golden dataset, built around your agent. The fixed standard every future eval measures against. Define “good” once, so your small team stops re-litigating quality on every release and gets back to shipping.

Book a call, scope your golden dataset
30-min call, no prep · scope in 48h · first $200 free
Golden dataset
247 graded cases
gradedseverity levelpriorityexplanationscoring rubric
what makes it gold
hand-graded
Every case read end to end and graded by an expert reviewer.
full grade
A verdict, a severity, and a priority on every single case.
written reason
Why each case passed or failed, spelled out in plain words.
frozen + versioned
The bar never drifts. Every future eval measures against it.
built by hand around your agent · yours to keep
Why it matters

“Good” means something different to everyone who touches your agent.So, we make one standard, built by hand, layer by layer.

Without a fixed answer key, you’re not measuring your agent. You’re measuring your mood.

“8/10, reads fine”“fail, wrong target”“pass, with notes”“6/10, tone is off”“hard fail, no confirm”
One standard, written down. Not five private bars.

The answer key your evals have been missing.

What you get
What it does for you
Custom Scoring Rubric
“Good” is defined once, in writing, around your agent. The quality debate stops restarting every release.
Hand-graded Golden Eval Dataset
Real cases, as many as your agent needs, each read end to end by a person. You see exactly what good, mediocre, and bad look like.
Severity + priority on every case
Failures arrive ranked, not as a flat list. Your team always knows what to fix first.
A written reason on every verdict
Every grade is explained in plain words. No black-box scores to argue with.
A frozen, versioned baseline
Every future eval, benchmark, and release measures against the same bar, so regressions have nowhere to hide.
Yours to keep
The rubric and the golden dataset are deliverables, not a subscription. They stay with your team even if you don't continue.

Who this is for

Best for you if
You're an agentic startup shipping to real users
Your team is lean and can't spare an eval hire
You have evals today that you can't trust or compare
You're running evals over and over while the standard keeps shifting
Not for you if
You're pre-product
You already run a full in-house eval function

Benefits of Gold Standard Evals

Releases ship on evidence, not opinion. The quality debate is settled before it starts.
Regressions surface before your users find them. Every release is graded against the same frozen cases.
Prompt and model changes become safe to try. You know within one run whether quality moved.
Eval spend stops leaking into re-runs and metric chasing that prove nothing about your agent.
New engineers see exactly what good looks like on day one, with written reasons on every case.
Every future eval, benchmark, and release plugs into the same baseline, so results stay comparable.

See what we catch, on us.

Your first agent is scoped as a pilot. The first $200 of hand-graded evaluation is free: credited toward your retainer if you continue, yours to keep if you don't.

First $200 freeCredited if you continueThe golden dataset is yours either wayNo commitment
Book a call, claim your $200 pilot
30-min call, no prep · scope in 48h

What happens after you book

01A 30-minute call

An engineer scopes your agent with you. No deck, no prep.

02A written scope in 48 hours

What we'd test, how we'd grade it, and what it costs.

03Your first report within the week

Your golden dataset and rubric land within the week. Keep them either way. First $200 on us.

No codebase, no integration sprint. Your engineers stay on the roadmap.

Questions we get asked frequently

Is this just a rubric document?
No. It's the rubric plus the proof: a hand-graded golden dataset that shows exactly what good, mediocre, and bad look like on your agent, case by case, with a severity, a priority, and a written reason on every verdict.
How is this different from Release Benchmarks?
Gold Standard Eval is built once: it defines the standard. Release Benchmarks hold that standard on every release, re-grading the same frozen cases so regressions surface. Most teams start here, then move to per-release runs.
Why not build it ourselves?
You can, but a standard only works if someone builds and maintains it, and that's a standing cost on an engineer you hired to ship product. We build it in days from your prompts and example runs, and your team keeps shipping.
Do you use AI to grade?
No. Every case is read, classified, and explained by a person. That's what makes it a standard you can trust.

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Your eval partners

Set the bar your agent is held to. Once.

One rubric, one golden dataset, built by hand around your agent. Every eval, benchmark, and release measures against it from then on.

Book a call with an engineer