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S2 · AI Evaluation & Reliability · L1 START

Initial LLM Test Checklist

Run five repeatable checks on a promising LLM demo and write down the variation and the risks.

Best for: QA engineers and technical leads starting LLM testing who want a short, repeatable routine.

$19 one-time · includes L0-L1 of S2 · AI Evaluation & Reliability

Get L1 START for $19 · our storeAlso on GumroadSee the whole series

Deeper levels (L2 to L4) are in our store.

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 L1 START: Initial LLM Test Checklist, product artwork

You walk away with

  • A five-check record, a variation summary, a risk list and a next-check proposal, plus an HTML report.
  • A stop at the first unresolved risk, so you know whether the demo deserves deeper testing before you invest in it.
  • Five single-purpose skills: scope intake, check selector, trial runner, variation reviewer and risk recorder. Each carries an expert playbook with a procedure, a checklist, common mistakes and a worked example on the bundled data.
  • A blank trial-review template, an operating guide (4 pages in English, 5 in Polish), a workflow guidebook (20 pages in English, 21 in Polish) and a 37-page English field guide.
  • 39 automated tests, with positive, negative and recovery cases.

What the workflow does

Define the boundary, run the compact checks, record variation, and stop at the first unresolved risk.

Bring

  • authorized system scope
  • recorded configuration
  • sanitized prompt set

Leave with

  • five-check record
  • variation summary
  • risk list
  • next-check proposal

What is in the package

Includes L0-L1 of S2 · AI Evaluation & Reliability: LLM Failure Pattern Scan and Initial LLM Test Checklist.

You need: Python 3.10 or newer and a terminal.

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

  • output variation
  • semantic and task acceptance
  • unsupported claims
  • output contracts
  • boundary and edge conditions

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

L2 UNDERSTAND, Non-Deterministic Evaluation Design, defines how much variation is acceptable and compares runs on evidence the team can defend.

See L2 UNDERSTAND: Non-Deterministic Evaluation Design · Open it in our store · See all five levels

Polski