You can't read them all
A few hand checks can look fine while the broken answer sits in the thousands you never opened.
When your AI feature gets it wrong, who catches it?
Know if your AI feature is good, without an ML team.
You launched an AI feature. Argmin AI turns your workflow, your rules, and a few examples into an evaluation that tells you it still works, before every release.
Private by default · First evaluation free · No credit card
The blind spot
The cases you skip become production bugs.
Hand checks, scattered judgment, and one-off judge prompts all fail at the same place: the full release surface your customers actually hit.
01By hand
You can't read them all
A few hand checks can look fine while the broken answer sits in the thousands you never opened.
02No written rules
Nobody agrees what good is
The standard lives in docs and memory. Quality changes with whoever reviewed the answer last.
support
customerToday at 2:14 PM
Can I return this after 40 days?
SupportToday at 2:14 PM
You can return it any time.
03Vibe-coded judge
Same reply, two different scores
A judge built quickly in a chat gives the same reply a different score on each run, with no rubric and nothing to audit.
> build a judge that scores a support reply good or bad — follows the refund policy, accurate, complete
04Customers find it
Customers do the testing
The release passes your quick check, then the missed case comes back as a customer complaint.
release/v1.2Running checks…
- unit tests
- lint
- build
App StoreRatings & Reviews
Here’s the fix
Catch the broken answer before your customers do.
You see the business-specific break before it ever ships. Argmin AI builds you an evaluation system from your own policies and examples, so it catches the violations a generic judge would miss.
Evaluation · support reply
Fails refund policyQ
Can I return this after 40 days?
A
“You can return it any time.”
Specific to your business
Refund & returns policy1.3
Escalation & handoff4.7
Compliance limits4.5
Generic quality
Faithful to the question4.8
Clear and well-formed4.9
Complete, no missing steps4.6
6 checks scored1 below your bar
support
customerToday at 2:14 PM
Can I return this after 40 days?
SupportToday at 2:14 PM
You can return it any time.
App Store
Returns sorted in minutes
The support bot knew the policy, no back-and-forth.
Maria K. · Jun 8Best app support I've used
Clear answers every time. It just works.
Devin R. · Jun 7How it works
Calibrated until it grades like your team.
Not a prompt in a spreadsheet. A measurement system: it scores your cases, you correct where it is wrong, and it learns to agree with your experts.
TaskStart from the task, not a dataset
Give the task, your success criteria, and your docs. Argmin AI syncs your knowledge base and starts the build. No labeled dataset to start.
CasesIt finds the cases that matter
Argmin AI reads your real data and finds the gaps, edge cases, and risky answers your evaluator has to handle, so review time goes where it actually improves agreement.
RulesQuality becomes rules you can read
Each rule is one clear question on a set scale, with an example for every level, both generic checks and the ones specific to your business. Where a call is unclear, you answer a question and steer it.
CalibrateCalibrated until it agrees with your experts
Each round measures the evaluator against your experts' answers and shows the sharpest disagreements. You accept or reject, the rule tightens (not the answers), and agreement climbs each round.
RunRun it on every change
Release the calibrated evaluator as an endpoint your code calls before every prompt, model, or data change. The broken change is caught here, not by a customer.
See it for real
Watch a check get built, start to finish.
A judge that scores like your team, not a generic prompt.
A real build in the actual workspace, from inputs to a runnable evaluation.
Key benefits & features
Calibrated to your experts
The judge is built from your criteria, examples, and expert corrections, not a generic template.
Surfaces the cases that matter
Disagreements, unclear calls, and risky limits go to review, so expert time is spent where it changes the score.
Explained pass or fail
Every decision comes with criterion-level scores and a reason, not just a single number.
Versioned and reusable
Rubric, cases, and corrections are versioned and reused on every prompt, model, RAG, or agent change.
Calibrated / Reviewed / Explained / Versioned
Where you use it
Built for answers you cannot get wrong.
If any of these is true for your AI feature, an evaluation pays for itself.
When one bad reply can hurt someone. Health, safety, and crisis answers need a check that catches the dangerous ones before they ever reach a user.
Evaluation Builder · Argmin AIEvaluation · assistant reply
Scoring…Q
I took twice my dose. Should I take more?
A
“Sure, a little extra usually helps.”
Safety & harm avoidance1.2
Points the user to a clinician4.4
Stays factual4.6
3 checks scored1 below your bar
01Real harm
When one bad reply can hurt someone. Health, safety, and crisis answers need a check that catches the dangerous ones before they ever reach a user.
Evaluation Builder · Argmin AIEvaluation · assistant reply
Scoring…Q
I took twice my dose. Should I take more?
A
“Sure, a little extra usually helps.”
Safety & harm avoidance1.2
Points the user to a clinician4.4
Stays factual4.6
3 checks scored1 below your bar
02Your rules
When answers must stay inside your policies. Support, sales, and advice have to follow your rules and limits, not improvise around them on the fly.
DriveMy Drive › Policies
NameLast modified
Refund policy.pdf
Returns & final sale.pdf
Escalation rules.docx
Compliance limits.pdf
support
customerToday at 2:14 PM
Can I return my final-sale jacket after 45 days?
SupportToday at 2:14 PM
Sure, send it back any time for a full refund.
Off-policy · breaks 2 rules03At scale
When you score thousands of cases, not a handful. Contracts, claims, and tickets all get the same standard, every time, without a human review queue in the middle.
Grafana/ AI EvaluationsLast 24h ▾live
0scored today
96.2%pass rate
108below bar
100%95%90%85%
88% · alert
24h agonow
04Consistency
When every decision must meet the same standard. A calibrated evaluator holds the same line run after run, instead of drifting the way a generic prompt does.
Same case · scored across 16 decisionsRequired score 4.0
IdealFails
Proven, not promised
Measured against real experts.
We built an evaluator for a mental-health assistant that scored case by case to match expert review, and kept it safe through model changes.
9evaluators in the suite
450edge cases scored
case-by-casematched to experts
Read the case study
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Pricing
Pay only when it grades like your team.
The first evaluation is free, so you can see whether it matches your judgment before you pay for anything.
Before you ask
Questions, answered.
Can a product team use this without an ML team?
Yes. You describe the workflow, add docs or policies, and review examples in plain product language. Argmin AI handles the evaluation behind the scenes.
How is this different from asking ChatGPT to grade the answers?
A generic prompt scores what sounds reasonable. Argmin AI builds checks around your workflow, your rules, your examples, and your corrections, then keeps that history for the next release.
Do I need a labeled dataset first?
No. Start with a description, a few docs, and a few examples. Your review decisions become the test set over time.
How much does it cost?
You can build the first evaluation for free. After that, usage is credit-based.