Add Stripe to your existing Next.js and Supabase app so a customer can buy a paid plan and use the feature it unlocks.
Have AI connect Stripe's payment page, Stripe Checkout, to the customer's account and the paid-feature check. Then verify a complete test purchase, including the return to the app.
The product choices still matter: what stays free, what payment adds and when to show the offer. We'll settle those as part of the setup, using my Doogle experience, then build and test the purchase.
Next.js builds the app's pages and features; Supabase handles its accounts. This guide reuses that working foundation and starts with one recurring paid plan.
01Let people get something useful before asking them to pay
Choose a useful result, not just a point in onboarding. Creating an account or adding an empty project may be necessary, but the person still needs a reason to care about doing more.
I initially had one free dog, and I noticed pretty much immediate user drop-off. I increased it to three, and I plan to bring it back down, but the app has to be in a much better state before I can do that.
Your useful result will depend on the app. A person might finish a plan, save a report they need or use a record to make their next decision. Identify that result before choosing the screen that asks for money.
An upgrade can appear when the person wants expanded use: more of the activity they already value, a larger allowance or another useful capability. The offer should make sense at that moment.
Find the useful result and upgrade point
Have AI inspect the actual first-use path before adding a payment button. It should identify what the person has already gained when the upgrade appears.
02Choose what stays free and what payment adds
Write one clear offer before connecting Stripe. Decide what the free version gives people, how much use it allows and what the recurring payment adds.
Keep the first setup small enough to check. One paid plan with a clear benefit is enough to connect the purchase and access rules. More plans can follow once that path works.
The price and free allowance are different choices. Raising or lowering the allowance changes when someone reaches the offer, even if the price stays the same.
Also decide what happens when they decline. The app should preserve the access and saved work your free experience promised. A payment button should not quietly introduce a different data policy.
Set the offer before AI builds itSwipe or scroll to see every column
Choice
What to write down
Useful free experience
The result a person can get before payment is needed.
Free allowance
How much use is available and whether that allowance resets.
Paid expansion
The exact extra use or feature the recurring plan provides.
Price and billing period
The amount, currency and how often the person pays.
Decline path
What the person can still use and what happens to existing work.
Turn the offer into app behavior
This prompt gives AI the product choices it must preserve. The result should be specific enough to build without choosing a new price or limit on your behalf.
Build this in Stripe's isolated test area (opens in a new tab), called a sandbox. Have AI also identify the app and database used for the test. A Stripe sandbox does not automatically separate your app's real accounts or saved data.
AI should inspect its available setup tools and permissions, then configure the product and price and build the connection. You handle account sign-in, required identity steps and the business choices.
Keep secret keys in the app's protected settings. They should not appear in the page code, a screenshot or a chat message. If a connected tool cannot handle a secret privately, let AI open the right service field for you.
Prepare the test plan and settings
Have AI identify the actual app, accounts and available connections, then create or reuse the one test product and recurring price. This avoids building against a guessed setup.
Add the upgrade and checkout action
Next have AI connect the chosen upgrade point to Stripe's payment page. The purchase must start from the existing signed-in account and use the price you just checked.
04Give the right customer the paid feature
Payment and app access need to meet at the same account. For Doogle, I connect checkout to the account that is already signed in. Coming back from payment is a separate step from confirming paid access.
A completed checkout can still be waiting for payment. Have AI check the current payment state before unlocking the feature. Stripe's fulfillment guidance also allows the return page to trigger the same server check (opens in a new tab); the page's success flag is not payment evidence.
Put the paid-feature rule on the server, the part of your app that the browser cannot edit. The visible screen should explain access, and the operation behind it should enforce the same rule.
In a small local test, six workers handled duplicate payment confirmations and a return-page check. The saved payment was applied once, and the paid export returned only the right account's data. Those were made-up payment records. The real sandbox purchase in Step 5 still has to pass.
Connect confirmed payment to the account
This prompt adds the trusted payment update. It must handle both a prompt payment and one that succeeds later, while keeping repeated messages from applying the purchase twice.
Enforce the paid expansion
Now have AI connect the saved paid access to the operation the customer bought. This is where the offer becomes something they can actually use.
05Make a test purchase and use the expansion
Test from the useful free experience, not from an isolated payment link. Reach the agreed upgrade point, choose the plan, finish the sandbox payment and use the expansion in the same account.
Use Stripe's test payment details (opens in a new tab). AI can operate the parts its tools allow; you complete any account or payment-screen step it cannot perform. It should then resume checking the result.
After the feature works, reload the app and sign out and back in. Paid access should still belong to that account. Check the saved work as well as the plan label.
Complete the first paid-feature test
Have AI run the complete test in the intended app, including the value and upgrade point you chose. A sample payment message alone cannot complete this check.
06Make the return and decline paths useful
A person who closes checkout should be able to return to the free experience you promised. Someone whose payment is still waiting needs a clear status and next step.
Check the free limit itself. The last allowed action should work. The next action should explain the expansion and price. Declining should not remove existing work as an accidental side effect.
Also check a different account and repeated confirmation. These expose mistakes that a single successful purchase can miss: giving access to the wrong person or adding the same allowance more than once.
Check the paths around checkout
This prompt checks the edges of the offer and purchase without broadening the work into every subscription scenario. It ties the technical checks back to the product choices.
Still having trouble?
Pull me into your project with @Vlad, your virtual co-founder. Or, if you'd rather work with the real me, set up a call.
Your first payment setup should begin with a useful free result and end with the customer using the expansion they bought. Keep that complete path working before adding more plans.
Revisit payment timing as the app improves. If people can reach useful value sooner, an earlier upgrade offer or a smaller free allowance may make sense. Check the experience that earns that decision.
Doogle still has the larger free allowance. I plan to reduce it after the app is in a much better state.
Keep the offer, free limit and paid behavior in agreement as you make those choices. You can change where payment belongs without rebuilding the whole account and checkout connection.
About the author
Vladislav Zhirnov
Co-Founder and CPO at Pinpoint
I'm Vladislav Zhirnov, Co-Founder and CPO at Pinpoint (opens in a new tab). There, I lead product strategy, contribute to early growth, and build AI systems that enable us to iterate quickly. Through this site, I help founders and product teams turn promising apps into successful products real people use.
Before this chapter, I spent more than five years at Side (opens in a new tab), growing from Product Manager Trainee to Director of Product Management. There, I led DUBS - a social gaming platform for teens - from concept to over 150,000 installs.
Away from the screens, I live on a homestead with Carl the mini-Highland cow and a rather large supporting cast.
To learn more about Pinpoint and the other projects I'm involved in, visit my portfolio.