nobrainertech

S2 · AI Evaluation & Reliability · L3 APPLY

Production AI Evaluation System

Move evaluation out of the notebook: dataset, evaluator, thresholds, CI and monitoring that owners can act on.

Best for: Teams that run AI evaluations beyond a one-off experiment and need a signal that survives the demo.

$99 one-time · includes L0-L3 of S2 · AI Evaluation & Reliability

Get L3 APPLY for $99 · 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 L3 APPLY: Production AI Evaluation System, product artwork

You walk away with

  • An evaluation system blueprint, a threshold map, a CI proposal and a monitoring loop, as JSON, Markdown and HTML.
  • A warranty-assistant example with a failing run and a fixed run side by side, in English and Polish.
  • Offline routing and tool-recovery sample inputs, so you can see how the evaluation behaves when a step fails.
  • CI examples for GitHub Actions, GitLab CI, pre-commit and make, with a decision record, RACI (responsible, accountable, consulted, informed) and risk register.
  • A 149-page field guide and 74 automated tests.

What the workflow does

Define the dataset and evaluator, establish thresholds, connect review signals, and plan controlled maintenance.

Bring

  • evaluation contract
  • versioned dataset scope
  • CI and monitoring constraints

Leave with

  • evaluation system blueprint
  • threshold map
  • CI proposal
  • monitoring loop

What is in the package

Includes L0-L3 of S2 · AI Evaluation & Reliability: LLM Failure Pattern Scan, Initial LLM Test Checklist, Non-Deterministic Evaluation Design and Production AI Evaluation System.

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

  • RAG pipelines and the evidence chain
  • statistical evidence for AI tests
  • load and cost controls
  • fairness and subgroup evidence
  • CI integration and production monitoring

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.

Next level

L4 SCALE, Enterprise Evaluation Platform Blueprint, adds shared governance across teams: risk tiers, an evaluator registry, gates and staged adoption.

See L4 SCALE: Enterprise Evaluation Platform Blueprint · Open it in our store · See all five levels

Polski