To implement an AI QA agent in 30 days: in week one, give it your site address and what matters, let it explore and propose test cases, review and approve the plan, then run the first round. In week two, fix the critical bugs and re-test them until each fix is proven. In week three, widen coverage to permissions, phone layout and unexpected cases. In week four, make it a habit: a run before every release and a scheduled run, with one named person responsible for reading the report.
- how to implement an AI QA agent
- how to set up AI testing for my website
- QA rollout plan for a small team
- how to start automated testing without code
- 30 day QA plan
- how do I write a test plan for my app
What does a successful rollout look like after 30 days?
The usual story: a team subscribes to a testing tool, runs it twice, is impressed, then forgets it. Two months later an update breaks checkout and they hear it from an angry customer. The tool was not the problem; it never became part of how the team works. Implementing an AI QA agent is a small project with a start and an end, and this is the end state:
- Test library
- Saved cases for the key customer journeys
- Before each release
- A full re-check run
- Between releases
- A scheduled quick check
- Bugs
- Each has an owner and a clear status
- Decision
- A written 'ready to launch' rule
Not chosen a tool yet? Start with how to hire an AI QA agent. This article assumes you have chosen and want to start well.
What do you need ready before day one?
An hour of preparation saves a week of muddled results. Go through this list:
In Fanann, apps built inside it need no ownership proof and testing starts right away. An external site is proven with a text file on the site, a tag in the home page, or a DNS TXT record, which may take a few minutes to spread.
What happens in the first week?
Week one is not for full coverage. Its goal is for the agent to learn your site and for you to learn how it works. Five steps:
- 1Brief it like a new employee
The address, the environment (staging or live), whether test data may be created, what must not be touched, and which screen. Then one clear task.
- 2Let it explore
It browses the pages and learns the forms and buttons. Preparing a plan usually takes minutes, and you do not have to sit and watch.
- 3Review the plan before anything runs
The plan arrives grouped: customer journey, unexpected cases, permissions, phone layout. Remove what does not matter and add what it missed.
- 4Run the first round and watch it
Watch a few minutes of the real browser at work, at least once. You will read the report better afterwards.
- 5Read the report with the developer
Start with the verdict: ready, not ready or inconclusive. Then bugs by severity, then what the run did not cover.
Test the ordering journey in the restaurant app from start to finish at phone size: browse the menu, add three items, change a quantity, remove an item, write a note, choose pickup from the branch, then reach the order confirmation page. Try sending an order with an empty cart and with an incomplete mobile number. You are on the staging copy and may create test orders, but do not try payment with a real card and do not edit items or prices. Order what you find by its effect on the customer.
Try it in FanannWhat is the full 30-day plan?
Shift the dates to your team's rhythm, but keep the order: one journey first, then fixing, then widening, then automating.
- Days 1–2Setup and briefing
Finish the setup list, add the site and prove ownership, and write the first mission for one journey.
- Days 3–7First plan, first report
Review the plan, run the round and read the report. Sort every finding: real bug, intended behavior, or a test that needs editing.
- Days 8–14Fix and re-test
Fix critical and high bugs and re-test each until it reads 'verified fixed'. Keep the passing cases.
- Days 15–21Widen coverage
Add the next two journeys, then sign-in and permissions, then phone layout, then unexpected cases.
- Days 22–26A check before every release
Make the full re-check a condition for publishing. Try it on a real update and note how many minutes it takes.
- Days 27–30Schedule and review
Turn on a scheduled run if your plan includes it, and review the month: which bugs were caught before a customer? Which cases should go?
How do you review the plan the agent proposes?
These are the most important five minutes of the whole process. The agent knows how sites are tested; you know your business. In Fanann every case in the plan carries a tag showing where it came from, which makes review easier:
| Case tag | Meaning | What to do |
|---|---|---|
| You asked for it | It came straight from your words | Check it says what you actually meant |
| Inferred | The agent assumed it from the type of site | Read carefully: it may be smart, or may not apply to you |
| Observed from the app | Built from what it saw on the pages | Usually good; just check its priority |
| Creates or changes data | Test bookings or sign-ups will appear | Untick it if you are on the live site |
Also look at three parts at the end of the plan: what the agent assumed, what might break, and what it will not test this time. Then the estimate: number of tests, minutes and credits. It is approximate; you are charged for what is actually used.
How do you turn reports into actual fixes?
A report that does not become fix tasks is an archive. Agree on a simple life cycle for every bug; it comes ready-made in the QA Engineer's bug tracker:
| Status | Who moves it | What the move means |
|---|---|---|
| New, then open | Product owner | Reviewed and confirmed as a real bug |
| In progress | Developer | Picked up and being worked on |
| Ready for re-test | Developer | Says it is fixed; not proven yet |
| Verified fixed | The agent | Repeated the same steps and they passed |
| Regressed | The agent | A proven fix failed again in a later run |
| Not a bug, or won't fix | Product owner | A recorded, deliberate decision, not neglect |
If your app was built in Fanann, plans that include it let you ask Fanann to fix the bug directly, after which it is re-tested. If it was built elsewhere, give the developer the steps to reproduce and the diagnosis as written, or share a read-only report link if your plan includes sharing. For wording, see how to write a bug report; for fixing, fixing bugs in AI-built apps.
Who on the team owns what?
The agent executes, but the decision cannot be delegated. Even in a team of two, assign these roles by name:
| Role | Responsibility | Rough weekly time |
|---|---|---|
| Product owner or founder | Writes missions, reviews plans, decides ready or not ready | About an hour |
| Developer, freelancer or agency | Receives bugs, fixes, requests the re-test | Depends on the bug count |
| Operations or support lead | Adds what customers complain about as new test cases | Minutes |
| The QA agent | Explores, tests, documents, re-tests | Works on request and on schedule |
IllustrationWorking alone? Then you hold all three roles and the agent is your only quality colleague. In that case read quality for small teams with no testers.
Which mistakes make a rollout fail?
- Testing everything from day one: the result is noise. Start with one journey and get it right.
- Testing live with data creation allowed: fake orders appear among real ones. Use a staging copy.
- Ignoring 'inconclusive' results: if a large share of tests did not reach a result, the verdict itself is inconclusive; the cause is often a rejected test account or a site that did not respond.
- Keeping broken cases: a case that always fails because the page changed teaches the team to ignore red. Update it or archive it.
- Closing bugs by hand: 'done' is not evidence. A passing re-test is.
- Nobody reads: a report without a named reader equals no testing.
The tool gives you testing. The habit gives you quality.
After the first month, the next step is running the agent on a nightly schedule with alerts that bother nobody without a reason.
Key takeaways
- Success after 30 days is not the number of tests; it is that nobody ships a change before the check has run.
- Prepare before day one: a staging copy, a test account, a 'do not touch' list and one owner for the report.
- Week one is for exploring and planning, not full coverage; start with one journey your business earns from.
- A bug is not closed by the word 'done'; it is closed when the re-test passes.
- What kills rollouts most: reports nobody reads, and a pile of cases nobody trusts.
Frequently asked questions
How long does it take for an AI QA agent to produce results?
Should I start on the live site or a staging copy?
What if the agent proposes test cases that do not apply to my business?
How many test cases do I need at the start?
What do I do when a test fails but the site works?
Does the QA Engineer work on sites not built in Fanann?
Ask your AI assistant about this
Copy this prompt into the AI assistant you use, then add the details of your own case.
I am reading this guide: “How to put an AI QA agent to work: a 30-day step-by-step rollout” https://fanann.com/en/blog/implement-ai-qa-agent-step-by-step/ My question: how to implement an AI QA agent Use that page as a source and explain the answer step by step for my situation, tell me what to check before I start, and cite the page link.