nobrainertech

S1 · AI-Native QA & SDET

From a red test to a handoff a developer can act on.

You get source-linked evidence, candidate explanations to test and one next check for a person to approve. Higher levels add criteria for judging AI features, a reviewed way to add AI-assisted tests and an owned testing path that several teams can follow.

Best for: QA engineers, SDETs and developers who own failing or flaky tests, and leads who now have to test AI features as well.

The free L0 workflow is the Failure Evidence Triage Workflow. Every level is available in our store. L0 and L1 are also on Gumroad. Paid purchases: 7-day money-back guarantee and at least six updates a year for five years, as set out in the terms.

S1 · AI-Native QA & SDET: five workflow levels from L0 FREE to L4 SCALE, with a sample HTML report

Sound familiar?

These are typical situations; none of them is a customer quote.

See the series in under two minutes

English narration with captions.

Five levels. Stop where the job is done.

Each series has five levels. Every level includes all earlier levels of the same series, so the level you choose is the point where you want to stop. L4 SCALE is the complete series. It contains L0, L1, L2 and L3 of the same series, each in its own folder.

S1 · AI-Native QA & SDET L0 FREE: Failure Evidence Triage Workflow, product artwork

S1 · AI-Native QA & SDET · L0 FREE

Failure Evidence Triage Workflow

Free includes L0

Turn one noisy test failure into a clear next step, and see which parts are facts and which are guesses.

Best for: Anyone with a fresh failing test who wants to think clearly before changing code or escalating.

You walk away with
  • A failure record in which every fact points to the log line it came from.
  • Your own hypotheses listed apart from the evidence, with any conflict between sources kept in view.
  • One next action for a person to approve, left at NOT_RUN until someone actually runs it.
  • An HTML triage report from one command on the bundled sample, plus English and Polish guidebooks including a 15-page guide to auditing a failure bundle.
  • A blank input template with a field guide, so you can run the same command on your own sanitized failure, and 25 automated tests.

L1 START, Test Failure Triage Workflow, takes one failed test to source-linked evidence, candidate explanations to test, a next-check proposal and a handoff a developer can act on.

Choose the checkout you prefer; receipts and updates come from where you buy.

S1 · AI-Native QA & SDET L1 START: Test Failure Triage Workflow, product artwork

S1 · AI-Native QA & SDET · L1 START

Test Failure Triage Workflow

$19 one-time · includes L0-L1

Turn one failed test into a source-linked handoff: the evidence, the candidate explanations to test and one next check a developer can act on.

Best for: QA engineers and SDETs who hand failures to developers every week and want the same evidence standard each time.

You walk away with
  • Six artifacts from one command: a normalized failure record, source-linked evidence, bounded classification candidates, a next-check proposal, and a triage handoff as Markdown and as a standalone HTML page.
  • A stop rule: incomplete, blocked or instruction-bearing input returns BLOCKED with the stop reason and the missing evidence listed.
  • Five single-purpose skills for your AI assistant: failure intake, evidence preserver, failure classifier, proposal reviewer and ticket drafter. Each carries an expert playbook with a procedure, a checklist, common mistakes and a worked example on the bundled data.
  • Frozen sample failures (ready, incomplete, contradictory, malicious-as-data and hold-out), a blank input template with a field guide for your own failure, 42 automated tests, and handoffs in English and Polish.

L2 UNDERSTAND, AI Application Evaluation, applies the same evidence discipline to an AI feature: criteria, sample cases and a result review the team can inspect.

Choose the checkout you prefer; receipts and updates come from where you buy.

S1 · AI-Native QA & SDET L2 UNDERSTAND: AI Application Evaluation, product artwork

S1 · AI-Native QA & SDET · L2 UNDERSTAND

AI Application Evaluation

$49 one-time · includes L0-L2

Replace 'does the answer feel right?' with criteria, cases and results the team can inspect.

Best for: QA leads and engineers who must judge an AI feature before release and need more than a demo to point to.

You walk away with
  • An evaluation contract, a fixture plan, a result review and an open-risk list, written as JSON and as an HTML report.
  • Deterministic checks, semantic criteria and prohibited outcomes kept apart, each with an owner and pass, fail and unresolved definitions.
  • A CI evaluation gate for GitHub Actions, GitLab CI or make that returns a verdict per critical segment, with two policies (default and exploratory).
  • Editable templates: decision record, RACI (responsible, accountable, consulted, informed), risk register, rubric, review checklist and a stakeholder one-pager.
  • A worked IT-helpdesk example with generated English and Polish reports, a 122-page field guide and 61 automated tests.

L3 APPLY, AI Test Automation Review, helps you choose which AI-assisted tests are worth writing, propose the smallest change and name who maintains it.

S1 · AI-Native QA & SDET L3 APPLY: AI Test Automation Review, product artwork

S1 · AI-Native QA & SDET · L3 APPLY

AI Test Automation Review

$99 one-time · includes L0-L3

Choose which tests are worth automating with AI help, propose the smallest change, and name who maintains it.

Best for: Test-automation engineers whose AI-assisted suite is growing and who want quality and cost to stay under human ownership.

You walk away with
  • A test contract, an automation proposal, a validation checklist and a maintenance plan from one command, as JSON, Markdown and HTML.
  • A target register and policy rubric for picking stable, valuable targets before anyone generates test volume.
  • An ADR (architecture decision record) template to record why a test change was accepted or rejected, plus a RACI and a review checklist.
  • CI wiring examples for GitHub Actions, GitLab CI, pre-commit and make.
  • A worked booking-calendar example in English and Polish, a 146-page field guide and 43 automated tests.

L4 SCALE, Enterprise AI Testing Operating Blueprint, turns these practices into an owned, observable path across teams, with gates and a staged rollout.

S1 · AI-Native QA & SDET L4 SCALE: Enterprise AI Testing Operating Blueprint, product artwork

S1 · AI-Native QA & SDET · L4 SCALE

Enterprise AI Testing Operating Blueprint

$149 one-time · includes L0-L4

L4 SCALE is $50 more than L3 and adds an operating blueprint, an ownership matrix, an observability plan and rollout decisions; every level below it is included.

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).

Give several teams one owned, observable AI testing path, with gates and a rollout plan.

Best for: Technical leads and quality owners who need AI testing to have an owner, an escalation path and a recovery route across teams.

You walk away with
  • An operating blueprint, an ownership matrix, an observability plan and rollout decisions, in one HTML report with JSON and Markdown.
  • Templates for controls, evidence, exceptions, signals, ownership, gate policy and a risk register.
  • A scheduled-run guide plus CI and pre-commit examples, so the gates run without someone remembering to run them.
  • Two worked scenarios from a claims team (a draft and a ready version), a 168-page field guide and 80 automated tests.
  • The complete series: every earlier workflow of AI-Native QA & SDET is inside this level.

You have the complete AI-Native QA & SDET series. The natural next series is AI Evaluation & Reliability, which measures how the AI feature itself behaves.

Prices are cumulative: each price covers that level and every level below it. Adding up the prices of several levels counts the lower levels more than once, so the catalog shows no sums or savings. 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). The upgrade question below shows how to claim it.

What you get from the series

You get source-linked evidence, candidate explanations to test and one next check for a person to approve. Higher levels add criteria for judging AI features, a reviewed way to add AI-assisted tests and an owned testing path that several teams can follow.

How it works

Each level runs the same loop: preserve the evidence, keep facts and hypotheses apart, stop at a human gate, and write the result into a report. Local code checks the record you supply, so every gap is listed by name.

What we can show

  • Five workflows with 251 automated tests, all passing in our run of the 2026-10-01 release build.
  • Worked examples with sample data at L2, L3 and L4: an IT helpdesk assistant, a booking calendar and a claims team.
  • English and Polish guidebooks in every package; the field guides at L2, L3 and L4 run 122, 146 and 168 pages.

No customer results are claimed. Every report states what was and was not checked.

Common objection

“My failures are messy and my stack is unusual.”

You bring one sanitized failure record and declare the scope. The workflow does the intake, the evidence list and the next check for that case. It does not read your repository, run your tests or claim to fix anything, and every report lists what is still unknown. Start with the free L0 workflow on one real failure.

Questions before you buy

What does each level include?

Every level includes all earlier levels of the same series: L1 START is L0-L1, L2 UNDERSTAND is L0-L2, L3 APPLY is L0-L3, and L4 SCALE is L0-L4, the complete series. Each level sits in its own folder in the download.

Why would I choose L4?

L4 SCALE is the whole series in one purchase: all five workflows, from the free starting point to the blueprint for running the practice across teams. It suits leads who already know they will use more than one level, or who need the top-level ownership, gates and rollout planning. If you are unsure, start with the free L0 workflow or L1 START. 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). Each price covers that level and everything below it.

If I start at L1, what does an upgrade cost?

It costs the listed price of the higher level minus what you already paid for a lower level of the same series. 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). You never pay twice for the levels below. It works for purchases made in our store or on Gumroad, and only for a higher level of the same series. To claim it, email hello@nobrainer.tech with your receipt, the level you want and the address you will use at checkout. We check the purchase and reply with a one-time link that applies the credit at checkout. The credit is personal, like the license: it is tied to that email address, and it does not apply to a purchase that was refunded.

What do I need to run a workflow?

A terminal and Node.js 22 (LTS). Two L1 START workflows, the Initial LLM Test Checklist (S2 · AI Evaluation & Reliability) and the Authorized Prompt Injection Review (S3 · AI Security Testing), start with Python 3.10 or newer instead. You unzip the package, run one command on the bundled example and open the HTML report; the command itself finishes in seconds. No particular AI assistant is needed to run the included code. In S5 · AI for Work & Business you write no code, and you still need a terminal and Node.js 22, installed once.

What guarantee and updates come with a paid purchase?

Paid workflow purchases carry a 7-day money-back guarantee: ask for a full refund within 7 calendar days, no questions asked, and keep the files you downloaded for personal use. They also include at least six updates in each 12-month period for five years from the purchase date, at no extra charge for those updates, made available through the platform where you bought. The update commitment covers the workflow you bought. It does not cover separate products, additional levels, custom implementation or third-party subscriptions. Your personal license does not expire when the five years end. Results vary and are not guaranteed, and mandatory consumer rights stay in place.

What is the difference between our store and Gumroad?

Our store carries all 25 workflows, L0 to L4 in five series. Gumroad carries only the ten L0 and L1 workflows and points here for L2 to L4. The L0 and L1 workflows are the same in both places. Files, receipts and updates come through the platform where you bought, and Gumroad acts as merchant of record for purchases made there, so its checkout terms apply as well.

Is it safe to use with my own data?

Use sanitized records: no credentials, cookies, personal data, production secrets or unrestricted logs. The included code runs locally and calls no model or provider. Network requests exist in one place only: the authorized check runner of S3 · AI Security Testing (L3 APPLY, also inside L4 SCALE) sends your inert checks to the one endpoint you name, by default a local stub, and refuses to send anything outside a valid authorization window and boundary. Instruction-like text inside your input is treated as data, and some workflows stop when they meet it. Security workflows also require written authorization for anything you test.

Can my team share one purchase?

A purchase is a personal, non-transferable license for one person, and sharing the files needs written permission. When several people need a workflow, each person can have their own copy: email hello@nobrainer.tech with the series, the level and how many people, and we will reply with the options. If you would rather have a workflow built around your own process, see Custom Workflow On Demand for the details.

More questions on the workflow catalog page

Not sure where to start?

Open the free L0 workflow, run the example, read the report and move up only when the next level fits your work.

Built on NoBrainer.Tech Flow, the free open project that gives your coding assistant one routine from task to done. You do not need Flow to run the included code. NoBrainer.Tech Flow on GitHub.