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S1 · AI-Native QA & SDET · L1 START

Test Failure Triage Workflow

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.

$19 one-time · includes L0-L1 of S1 · AI-Native QA & SDET

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.

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

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.

What the workflow does

Intake the failure, inspect only allowed evidence, design a test response, and stop before unauthorized changes.

Bring

  • sanitized ticket or failure
  • comments and relevant context
  • explicit read-only scope

Leave with

  • normalized failure record
  • source-linked evidence list
  • bounded classification proposal
  • review-required next-check proposal
  • triage-handoff.md

What is in the package

Includes L0-L1 of S1 · AI-Native QA & SDET: Failure Evidence Triage Workflow and Test Failure Triage Workflow.

You need: Node.js 22 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

  • failure evidence intake and provenance
  • classification without invented confidence
  • bounded selector repair
  • evidence-backed hypotheses
  • reviewable ticket handoff

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

See L2 UNDERSTAND: AI Application Evaluation · Open it in our store · See all five levels

Polski