The introduction
Who the course is for, what you will learn, and where the six-part journey is headed.
Part One recorded · Free previews
How AI
Tests Software.
Turn AI into your testing partner.
Find the problems. Verify the evidence.
Make the next release better.
LEARN BY DOING. WITH JASON.
01 Observe02 Verify03 Explain
Short lessons. Concrete examples. Practice with your own AI agent.
22recorded lessons
90 minPart One video
3free previews
Your AI agentportable methods, not one vendor
PART ONE / AI CHECKSFind more.
Find more.
Assume less.
Go beyond asking AI to “find bugs.” Learn to give it the right evidence, ask sharper questions, and challenge what comes back.
- 01
Inspect more than the screen
Use screenshots, console logs, network traces, code, and data to investigate a problem.
- 02
Ask the question that matters
Bring product context and focused checks to security, accessibility, performance, and more.
- 03
Turn findings into useful work
Challenge assumptions, merge duplicates, and write evidence-backed bugs that help someone fix them.
TAKE A LOOK INSIDE
A few lessons. On us.
Real excerpts from the recorded course.
No sign-in. No payment.
The first AI-checks lesson
Inspect screenshots, logs, and source artifacts. Learn what a screenshot can and cannot prove.
A lesson from the middle
Turn known failure modes into reusable checking questions instead of one-off hard-coded cases.
THE RECORDED CURRICULUM
Part One: AI Checks
22 short lessons · 90 minutes
Setup, examples, and the checking workflow.
01Start here
01Welcome to How AI Tests Software3:41Free preview
Who the course is for, what you will learn, and where the six-part journey is headed.
02Set up your AI coding agent4:25Recorded
Get an agent reading local files, set safe boundaries, and choose a suitable practice environment.
Full lesson access is not open yet.03Meet TestBucks. Find your first bugs.1:49Recorded
Use a fictional coffee shop to make your first evidence-backed observations.
Full lesson access is not open yet.04Checks, tests, harnesses, and confidence5:35Recorded
Separate artifact inspection from interactive testing and longer-running quality workflows.
Full lesson access is not open yet.
02Evidence and findings
05AI checks: start with the evidence4:54Free preview
Inspect screenshots, logs, and source artifacts. Learn what a screenshot can and cannot prove.
06Write a bug report that helps fix the bug4:56Recorded
Use OpenTest.ai-style fields for reasoning, counterarguments, routing, and a fix prompt.
Full lesson access is not open yet.07Find issues in logs and recorded evidence6:06Recorded
Inspect network traces, console logs, and database artifacts, not just the visible page.
Full lesson access is not open yet.08Connect findings to your existing tools2:20Recorded
Connect issue and test repositories while keeping a human review step before filing.
Full lesson access is not open yet.
03Better questions, better checks
09Give your agent useful context5:15Recorded
Combine product rules, code, logs, and team knowledge to investigate more effectively.
Full lesson access is not open yet.10Many pages. Fewer duplicate reports.6:47Recorded
Find inconsistencies across pages and consolidate repeated findings into actionable issues.
Full lesson access is not open yet.11Ask focused questions2:36Free preview
Turn known failure modes into reusable checking questions instead of one-off hard-coded cases.
12When the assistant refuses5:03Recorded
Understand refusals, authorized testing context, and the product behavior that follows a refusal.
Full lesson access is not open yet.
04Specialist checks
13Security and privacy checks1:58Recorded
Look for cross-customer data, unintended disclosures, and inconsistencies in captured evidence.
Full lesson access is not open yet.14Usability and accessibility4:14Recorded
Examine confusing choices, meaningful alternative text, zoom behavior, and visual accessibility.
Full lesson access is not open yet.15Performance, visual quality, and experience3:35Recorded
Investigate heavy assets, awkward layouts, and experiences that undermine customer trust.
Full lesson access is not open yet.16Functionality, reliability, and compatibility5:42Recorded
Check calculations, hidden retries, network problems, and responsive layouts.
Full lesson access is not open yet.17Content, localization, data, and APIs4:46Recorded
Compare claims, locales, stored data, and API behavior for contradictions.
Full lesson access is not open yet.18Review AI-generated code2:53Recorded
Ask for focused code review and challenge what the generating agent overlooked.
Full lesson access is not open yet.19Standards and compliance checks4:36Recorded
Use AI to flag potential issues for expert review, not to certify legal compliance.
Full lesson access is not open yet.
05Make the findings useful
20Reduce noise. Test state and relevance.3:22Recorded
Bring known issues into the prompt, vary application state, and judge search relevance.
Full lesson access is not open yet.21Recovery, specifications, and parallel checks2:59Recorded
Review recovery paths and specifications, then combine complementary artifact checks.
Full lesson access is not open yet.22Part One: the quality-checking loop2:30Recorded
Connect evidence, focus the questions, challenge findings, and make bugs actionable.
Full lesson access is not open yet.
Practice time is additional. The full lessons are recorded; enrollment is not open yet. Only the three marked previews are publicly playable.
THE REST OF THE JOURNEY
What comes next.
Planned topics for Parts Two through Six.
These videos have not been recorded yet.
02Interactive AI Tests
Not yet recorded
- Operate the app. Verify the outcome.
- Connect your testing tools
- From brittle scripts to adaptive tests
- Define an executable test intent
- Turn evidence into a quality report
03AI Contextual Testing
Not yet recorded
- Use code as testing context
- Prioritize the risks
- Review the AI’s findings
- Balance cost, speed, and scale
- Personas and skeptical review
- Different paths. Stable outcomes.
- Judge meaning with evidence
04Tests Become Intent
Not yet recorded
- Keep the promise. Adapt the path.
- Reuse intent across surfaces
- Record a journey. Replay its intent.
- Turn legacy tests into reusable intent
- Make outcomes observable
- Plan a bounded load test
- Inject a fault. Verify recovery.
05The AI Test Harness
Not yet recorded
- Coordinate the testing workflow
- Give specialists context and direction
- Save evidence. Compare runs.
- Build a release recommendation
- Run isolated workers in parallel
- Choose and steer the next test
06The Future of Testing
Not yet recorded
- Test changing experiences
- Prove a focused property
- Software that tests and repairs itself
- Keep autonomous testing accountable
Choose how you want to learn.
Every option includes the full course. Pick email guidance or a single conversation if you want more.
Free signup, no payment today. Select your preferred package in the form. This records your interest; it does not reserve a limited place or enroll you. Limited places are secured at paid enrollment. Prices above are complete package totals, not add-on charges.
Part One is recorded. Parts Two through Six will become available as they are released; they are not yet recorded. The launch date will be announced later.
Personal-support details
Email Q&A: Three responses in total, including follow-ups—not three ongoing threads. Use within 90 days of enrollment. Replies within five business days. One focused topic per email with brief context. No codebase audits, extensive attachment review, or ongoing troubleshooting.
1-on-1 Zoom: One 20-minute session to discuss the contents of How AI Tests Software. Book within 90 days of enrollment, subject to calendar availability. No email Q&A, advance code review, or written consulting report.
The 50 email packages and 20 Zoom packages are launch allocations, not live remaining-place counts.
OPTIONAL COMPANION READINGThe course comes first.
The course comes first.
The book goes deeper.
Follow the lessons and practice the techniques here. Keep the book nearby when you want a longer explanation or a reference to return to.
Buy the book on Amazon →
YOUR INSTRUCTORTESTING EXPERIENCE, SHARED
Jason Arbon
“My personal mission is to improve the quality of the world's apps.”
Author of How AI Tests Software. In this course, Jason walks through the methods he uses to investigate software with AI, using the fictional TestBucks coffee shop as a shared example.
Watch the reasoning, try the checks, and question the results. The goal is useful testing, not simply more AI output.
Explore the companion bookTOOLS & SERVICES
Put the learning to work.
Codex
BY OPENAIYour AI coding partner.
Bring the course into your own project. Use Codex to explore code, write tests, investigate bugs, and work through fixes.
Explore Codex
Iceberg QA
Find what your AI missed.
Add instant-on AI QA bandwidth and coverage, with human testing expertise. Start getting value in days, and get help learning to run it yourself.
Talk to Iceberg QAWhat did your testing miss?
See how a focused AI check can help you find out.
Register to receive details about your selected course launch offer from Jason. Name and email are required; workplace, job title, and learning goals are optional. Other AI updates require a separate opt-in. Responses are stored privately in Google Sheets. Please do not include confidential information. Withdraw by emailing jason@testers.ai. The launch date will be announced later. Prices are in USD. Visit the book homepage →