How we test AI app builders

Last updated September 14, 2026

Every review, comparison and guide on this site follows the same method. If a piece does not meet it, it does not get published.

1. A real scenario with written requirements

We start from a concrete business, for example "a two-chair barber shop that needs online booking with deposits and SMS reminders". Before building, we write the requirements list the app must pass: user roles, data, payments, notifications, mobile use.

2. Same brief, every tool

In comparisons, each builder gets the identical starting prompt and the same follow-up budget. We do not hand-tune prompts for the tool we prefer.

3. Real costs

We record the plan used and the credits and money each build consumed. Prices in articles come from the vendor's pricing page on the date shown.

4. Everything is logged

We keep a test log for every piece: date, plan, prompts, time spent, what failed and how it was fixed. Screenshots on the site come from these sessions, not from vendor marketing material.

5. Scoring

Criterion Weight What we check
Did it meet the requirements? 35% Share of requirement checks passed without hand-written code
Cost to a working app 20% Plan price plus credits consumed to reach a usable result
Reliability 20% Bugs, regressions after edits, data and auth issues
Ease for a non-developer 15% Could the business owner maintain it themselves?
Ownership and exit 10% Code export, custom domain, data export, vendor lock-in

6. Re-tests

AI builders change monthly. We re-check pricing every quarter and re-run builds when a major version ships. Each article shows its last update date.

How AI is used here

We use AI tools to help run builds, outline, transcribe and proofread. The builds, measurements and verdicts come from our own testing, and every piece is reviewed by the editor before it goes live.