How to launch an app: an AI app launch from beta to launch week

How to launch an app in one paragraph

Launching an app is a sequence, not a day. You choose where it ships first, prove it works with a small group of real users, get it through any store review, prepare the assets that explain it, announce it on a date you picked, and then keep talking about it after the first spike. This guide walks through each step for a small team, with notes for AI apps where they behave differently. The date sits near the end. Most of the work happens before anyone outside the company hears about it.

Step 1: choose where the app ships first

The first decision shapes the timeline more than any other.

Where it ships	What you need before launch	What it means for the date
Web app	A working build, a domain, sign up and a way to pay or join a waitlist	You control the date, because there is no store review
iOS (App Store)	An Apple developer account, a build that passes App Review, a store listing	Add review time and a buffer for rejections
Android (Google Play)	A Play Console account, a testing track, a store listing, and for new personal accounts a closed test	Add the testing period and review time
All of them at once	Everything above, in parallel	The slowest track sets the date

Small teams usually launch one surface first. Many AI products start on the web, because the product changes weekly and the team does not want each fix to wait for review. If the app is mobile by nature, launch on the store where your buyers already are and add the other one later.

Step 2: run a real beta

A beta is not a soft launch with a different label. It is a small group of people outside the team who use the app for its real job while you watch what happens.

Both stores give you tools for this. Apple’s TestFlight lets you invite internal testers and up to 10,000 external testers, and the first build for external testers has to be approved by App Review. Google Play offers internal, closed and open testing tracks. For personal developer accounts created after November 13, 2023, Google’s app testing requirements say you must run a closed test with at least 12 testers who have been opted in continuously for at least 14 days before you can apply for production access.

What to look for in the beta:

• Can a new person reach a first useful result without a call with you?
• Where do they get stuck, and what words do they use to describe it?
• Do they come back without a reminder?
• For an AI app: are the answers good enough on their real inputs, not your demo inputs, and what does a typical session cost to serve?

Write the findings down. They become the launch post, the FAQ and the onboarding copy. The pre launch strategy guide covers how to turn a waitlist into a beta group on X.

Step 3: clear store review

If you ship through a store, review is a hard dependency. Read the rules before you submit, not after a rejection.

Apple’s App Review Guidelines ask that submissions be final versions with complete metadata and working URLs, with placeholder content removed, tested on device, and with demo account details if the app has a login. Many AI apps have a login and a backend, so make sure the reviewer can sign in and that the service is running when they test.

A few habits save time:

1. Submit early enough that one rejection does not move the launch date.
2. Write review notes that explain what the app does and how to reach the main feature.
3. Keep the store listing honest. Screenshots should show the real app.
4. Do not announce a date publicly until the build is approved, or announce a window instead of a day.

Web apps skip this step, which is one reason they are a common first surface.

Step 4: prepare the launch assets

When the build is ready, prepare everything people will see on the day. Keep the set small and consistent.

• One sentence that says who the app is for and what it does. Use it everywhere.
• A short demo of the real app doing one job from start to finish. For an AI app, show a real input and a real output.
• The launch post for X, written and reviewed before the day. The guide on how to write a launch tweet covers the hook, the demo and the link.
• The page it points to: a store listing or a landing page with one clear next step.
• Answers to the obvious questions: price or plan, platforms, data handling, and what the app does not do yet.

The checklist breaks these into tasks with owners, and the timeline helps you place them on a calendar working back from the date.

Step 5: pick the date and run launch day

Pick a date only after the build is approved or the web app is stable. Then plan the day itself.

On launch day the work is mostly attention: posting at the planned time, replying to questions, fixing anything that breaks, and noting what people ask. Name who owns each of those. The launch day run of show lays out the hours on X, and launch week vs launch day helps you decide whether one day or a week of posts fits the app.

For AI apps, watch two extra things on the day: answer quality under real load, and usage cost. A sudden wave of new users can surface edge cases the beta never hit.

Step 6: the week after

The first spike fades quickly. What you do in the following days decides whether the launch turns into users who stay.

• Reply to everyone who asked a real question, and turn common questions into posts or FAQ entries.
• Publish follow up posts: a second demo, a feature people asked about, a clear limit you are working on.
• Look at activation and retention for the people who joined during the launch, not just total signups.
• Fix the top onboarding issue before you spend on anything else.

If the launch was quiet, that is information too. It usually points to the sentence, the demo or the audience, and each one can be fixed before a relaunch.

What changes when the app is an AI app

Most of the sequence is the same for any app. A few parts need more attention when the core feature is a model.

Quality is part of the beta. A crash is easy to spot. A confident wrong answer is not. Collect real inputs from beta users, with permission, and check the outputs by hand before you decide the app is ready.

Cost is part of the plan. Every active user can add model or compute spend. Decide before launch how you will limit free usage, so a good launch day does not become an expensive one.

Claims need proof. Buyers have seen many AI announcements. A demo of the real app on a real task does more than a list of model names or benchmark scores.

Limits belong in the copy. Say what the app does not do yet. It sets expectations and gives you a natural follow up post when that limit is fixed.

Common mistakes when launching an app

• Announcing a date before store approval.
• Treating the beta as a formality and skipping the notes.
• A demo that shows a mockup instead of the real app.
• A launch post, a store listing and an onboarding screen that each describe a different product.
• No plan for the second day.

Plan your launch

If you want a launch plan built around your app, your date and X as the main channel, start at plan my launch. The AI product launch checklist is a good companion if you prefer to work through the tasks yourself first.