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S2 · AI Evaluation & Reliability · L4 SCALE

Enterprise Evaluation Platform Blueprint

Set up shared evaluation governance across teams, with a separate risk level and threshold for each use case.

Best for: Platform and quality leaders who standardize AI evaluation across teams and need local differences to stay visible.

$149 one-time · includes L0-L4 of S2 · AI Evaluation & Reliability

L4 SCALE is $50 more than L3 and adds a platform blueprint, an evaluator registry, a governance map and an adoption plan; every level below it is included.

Get the complete series (L4 SCALE) for $149 · our storeSee the whole series

Paid purchases: 7-day money-back guarantee and at least six updates a year for five years, as set out in the terms.

What you paid for any lower level of the same series counts toward any higher level (L1 START at $19 makes L4 SCALE cost $130). To claim it, email hello@nobrainer.tech with your receipt (how the credit works).

Need copies for colleagues? Each person gets their own copy; email hello@nobrainer.tech.

S2 · AI Evaluation & Reliability L4 SCALE: Enterprise Evaluation Platform Blueprint, product artwork

You walk away with

  • A platform blueprint, an evaluator registry, a governance map and an adoption plan, plus one HTML report that combines them.
  • Templates for evaluator cards, a risk-tier policy, use-case intake, a waiver register and review-meeting checklists.
  • A freight-platform example run before and after a judge change, in English and Polish, so you can see a governance change in the report.
  • CI and pre-commit examples, a 72-page field guide and 64 automated tests.
  • The complete series: every earlier workflow of AI Evaluation & Reliability is inside this level.

What the workflow does

Define platform scope, evaluator ownership and registry rules, then stage adoption with rollback.

Bring

  • portfolio of AI use cases
  • risk tiers
  • platform and governance constraints

Leave with

  • platform blueprint
  • evaluator registry
  • governance map
  • adoption plan

What is in the package

Complete series, L0-L4 of S2 · AI Evaluation & Reliability: LLM Failure Pattern Scan, Initial LLM Test Checklist, Non-Deterministic Evaluation Design, Production AI Evaluation System and Enterprise Evaluation Platform Blueprint.

You need: Node.js 22 and a terminal. The included L1 folder runs on Python 3.10 or newer.

Each package is a working workflow with tested code, a runnable example, recovery steps and an HTML report, plus an English and Polish guidebook that explains the method. The workflow is the product; the guidebook supports it.

Prices are cumulative: each price covers that level and every level below it, so the catalog shows no sums or savings.

What the guidebook covers

  • enterprise evaluation architecture
  • centralized, federated and hybrid ownership
  • canonical run envelopes and validation
  • shared platform jobs, results and alerts
  • cost allocation and adoption

The guidebook extends the workflow with the reasoning and adaptation guidance. It is not evidence that a result has already run in your environment.

Use it safely

Use sanitized inputs inside a declared boundary and review every proposed action. The workflow stops when evidence, authority or an owner decision is missing.

The included code runs on your machine, makes no model calls and needs no AI tool. If you want an assistant to help draft the input, the onboarding guide shows how; you review the result before anything is acted on.

Where this fits

L4 SCALE is the top level of this series and includes every level below it.

You have the complete AI Evaluation & Reliability series. The natural next series is AI Security Testing, which checks the same systems against misuse.

See all five levels of S2 · AI Evaluation & Reliability · Compare all five series · See S3 · AI Security Testing

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