01 / Quality contract
Agreed success criteria, an anchored rubric, and a representative evaluation set for one priority use case.
One use case · 10 business days
From “is it good?”
to a quality bar you can use.
A focused AI evaluation engagement for teams with a working system and a quality problem worth solving. Establish a baseline, test one improvement, and leave with a repeatable method.
01What your team keeps
The work, in four parts.
02 / Baseline
A repeatable procedure or lightweight harness, recorded configuration, and the first evaluation run.
03 / Failure analysis and experiment
A breakdown of observed failures, one targeted improvement experiment, and a rerun against the agreed criteria.
04 / Handoff
Evaluation artifacts, an executive readout, and a prioritized 30-day plan. Your team can carry the work forward.
02A good fit
A working system.
A decision to make.
Bring one technical owner, representative examples, access to the relevant system, and time for two working sessions and timely feedback. The 10-business-day period starts once agreed access and inputs are ready.
The boundaries
A focused scope.
The Sprint is not a full product build, unlimited labeling, ongoing monitoring, or a comprehensive security audit. Additional use cases and implementation are scoped separately. A measured accuracy improvement or production-readiness guarantee is not promised.
Scope, pricing, access, tools, and data terms are agreed before kickoff. Keep initial inquiries high-level.
03The method in practice
Inspect the thinking
behind the work.
Our internal rubric-generator case study shows how specific failures became seven prompt fixes. It is an internal demonstration, with no claimed accuracy uplift.
Read the case studyWhat an evaluation engagement should deliver
04Start the conversation
Start with
a scoping call.
Tell us what you’re building and the decision you need to make. If there’s a fit, we’ll email you to arrange a 20-minute scoping call. No system access is needed for this first conversation.
What we’ll discuss
evals@rubrex.ai - Your use case and the problem you’re seeing.
- The evidence you have and what to test first.
- Whether a Sprint, audit, or engineering engagement fits.
WHAT HAPPENS NEXT
- We review your request and whether we can help.
- If there’s a fit, we agree a call time with you by email.
- A written scope and quote before any work begins.