Most AI app builders offer some form of free tier, but "free" varies enormously in what it actually lets you test. The real question isn't whether a free option exists — every major platform has one — it's whether that free tier lets you test the part of the platform that actually matters before you pay. Most free tiers are generous with the part that's easiest to demo (the frontend) and restrictive with the part that determines whether the platform is right for you (the backend, deployment, and how the app behaves under real use). This piece is a framework for using free tiers properly, based on running the same evaluation across every major platform.

What “free" usually means across AI app builders

Free tiers in this category fall into a few consistent patterns, and knowing which pattern a platform uses tells you what you can actually learn from it before paying.

Most platforms give you a genuine, permanent free tier rather than a time-limited trial. Lovable's free tier offers 5 daily credits capped at 30 per month, with no expiry date on the offer itself. Bolt's free tier includes 1 million tokens per month with a daily cap. Replit's free Starter tier includes limited daily Agent credits. None of these force you to decide within a week — they constrain how much you can build, not how long you have to build it.

What free tiers typically restrict falls into three categories: usage volume (credits, tokens, daily caps), branding and domains (your app carries the platform's badge and runs on their subdomain), and feature access (custom domains, private projects, team collaboration, and sometimes code export are paywalled). The specific combination varies by platform, and the combination matters more than any single restriction on its own.

A pattern worth noting across the category as of mid-2026: build and preview are almost always free. Publishing a live, working URL is usually free too, but often only as a public project carrying the platform's branding. The paywall tends to sit at the point where you want it to look and behave like your product rather than a platform demo — custom domain, private visibility, or removing the badge.

Why testing the frontend isn't enough

The frontend is the easiest part of any AI app builder to evaluate, and it's the part every free tier lets you see clearly. This is not a coincidence. A polished-looking UI is the fastest way to convince someone to upgrade, so free tiers are generally structured to let that part shine.

The problem is that frontend quality tells you very little about whether the platform can support what you're actually building. A task list with a clean layout and smooth animations says nothing about whether the underlying database persists data correctly, whether authentication is secure, or whether a Stripe integration will actually process a payment without silently failing. I've reviewed enough platforms to say this with confidence: frontend polish and backend reliability are not correlated. Some of the best-looking generated UIs I've tested sit on top of the shakiest backend implementations, and vice versa.

If you only test the frontend on a free tier, you're evaluating the platform's demo quality, not its product quality. The screenshot test applies here directly: if you can screenshot the UI looking good, that tells you the UI looks good. It tells you nothing about the parts of the app a screenshot can't show — data persistence, auth security, payment processing, and what happens when something goes wrong.

A standardised way to test what actually matters: auth, database, deployment

This is the test I run on every platform, scaled down to fit within what a free tier typically allows. My full standardised build — a task manager with authentication, a relational database, and Stripe billing — is designed to surface exactly the questions a free tier evaluation should answer.

Authentication. Sign up for an account with a real (or disposable) email address. Sign out. Sign back in. Does it work cleanly? Then open the app in a second browser or incognito window and sign up with a different account. Does the second account see its own data, or does it leak into the first account's session? This second check matters more than it sounds — auth implementations that work for a single test user sometimes fail under multi-user conditions, and a free tier evaluation is exactly where you'd want to catch that.

Database persistence. Create a few records through the app's UI. Close the browser entirely. Reopen it and sign back in. Are the records still there? This is the fastest, most reliable way to tell whether you're looking at a real database or a session that resets on refresh. It takes about two minutes and it's more informative than anything on the platform's features page.

Deployment. Does the free tier give you an actual live URL, or only an in-editor preview? This distinction matters because a platform that only lets you preview locally on the free tier is withholding the part of the evaluation that tells you whether the deployment pipeline itself works cleanly. Most major platforms do provide a live URL on the free tier, typically on a branded subdomain.

If a platform's free tier doesn't let you complete all three of these checks, you're evaluating a UI demo, not the product.

What free tiers typically restrict, and why

Understanding the shape of these restrictions helps you evaluate faster, because you can predict where the free tier will stop you before you hit it.

Credit and token caps. This is the most universal restriction. Lovable's 30 monthly credits, Bolt's 1 million monthly tokens, Replit's limited daily Agent credits — all of these cap how much building you can do, not what you can build. You can typically complete a small, focused test within these limits if you plan the build efficiently rather than exploring open-endedly.

Branding and public visibility. Nearly every free tier puts the platform's badge on your generated app and often restricts free projects to public visibility. This doesn't block your evaluation of the platform's technical capability, but it does mean you can't use the free tier to quietly test something you want to keep private, and you can't present a fully polished, unbranded demo to a stakeholder without upgrading first.

Custom domains. Consistently the most common paywall trigger across the category. A free tier app almost always lives on the platform's own subdomain. If your evaluation criteria include how the app feels running on your own domain, you'll need a paid plan to test that specific piece.

Code export. This varies more than the other restrictions. Some platforms allow GitHub export on the free tier; others reserve it for paid plans. This is worth checking directly and early if code ownership is part of what you're evaluating, since it's one of the more consequential restrictions if you hit it unexpectedly.

Sleep and idle behaviour. Some platforms' free-tier deployments go idle after a period of inactivity and take a moment to wake up on the next request. This is worth knowing if part of your evaluation involves showing the live app to someone else — an app that's gone to sleep mid-demo creates a bad first impression that has nothing to do with the platform's actual quality.

Running the same test app across platforms before you commit

The most useful way to evaluate multiple AI app builders is to run an identical, scaled-down version of the same test on each one, rather than building different things on different platforms and trying to compare the impressions.

Pick something small enough to fit within a free tier's credit allowance: a single-entity CRUD app with authentication is usually enough. A note-taking app with sign-up, sign-in, and the ability to create and view notes tied to your account tests all three of the checks above — auth, persistence, deployment — without requiring the full build complexity of a Stripe integration.

Run this same build on each platform you're considering, using the same prompt structure as closely as possible. Note the credits or tokens consumed, whether the three checks passed cleanly, and where each platform's free tier stopped you. This gives you a comparable, evidence-based basis for the decision rather than a set of separate impressions from different builds.

I've run this exact evaluation, scaled to my full standardised test, across the major platforms. On Lovable, the free tier's 30 monthly credits are enough to complete a basic auth-and-database build, though a Stripe integration typically pushes past the free allowance. On Bolt, the 1 million monthly token allowance covers a similar scope, with the caveat that token consumption accelerates as the project grows more complex, so a simple test build stays comfortably within the limit while a fuller build may not. On Replit, the free Starter tier's limited daily credits are workable for a single session's testing but not for iterating across several days.

Mayson's free tier gives 10 credits with no credit card required. In my testing, that's enough to complete a build with authentication and a working database and see the platform's native backend generation in action, which is the part of Mayson's approach that differs most from the managed-service platforms and therefore the part most worth testing directly rather than taking on faith.

What to do once your free credits run out

Running out of free credits mid-evaluation is not a failure state. It's useful information. If you exhausted the allowance building something small and focused, that tells you the platform's credit economy runs tight, which matters for budgeting a real project later. If you completed your test comfortably within the free tier, that's a point in the platform's favour independent of everything else you found.

Once you've hit the ceiling, you have three reasonable paths. The first is to stop and evaluate what you've learned — for a free-tier evaluation, you often don't need to complete the entire test app to answer the questions that matter most; the auth and persistence checks alone frequently tell you what you need to know. The second is to top up or subscribe to the entry-level paid plan if the platform has cleared your evaluation bar and you're ready to build the real thing. The third is to move to the next platform on your list and run the same scaled-down test, so you're comparing platforms on equal evidence before committing real money to any of them.

What a free tier evaluation cannot tell you, regardless of platform, is how the app behaves under real production conditions: concurrent user load, sustained traffic, or the platform's support responsiveness when something breaks in production. Free tiers are single-user, low-volume environments by design. They're the right tool for testing architecture and build quality. They're the wrong tool for testing scale. If production behaviour under load is part of your decision, that requires a paid build and a deliberate stress test — the free tier evaluation is the first filter, not the last one.

Frequently asked questions

Ananya is a product analyst and developer tools reviewer who writes the comparison and review content on Mayson's blog. She tests AI app builders against standardised criteria and does not accept sponsorships from any tool she covers. Free tier terms across this piece were verified as of mid-2026 and should be checked against current platform pages before publishing, as these change frequently.