Building a registration prototype with vibe coding helps clarify capacity, confirmations and waiting lists. Artificial intelligence can generate the screens; you define the rules that make registration reliable.
Vibe coding, also searched for as vibe code or vibecode, means directing the creation of a prototype by describing your needs to artificial intelligence. You provide the instructions, then check the result.
Write down capacity rules
Specify capacity, time slots and cancellation conditions. For a fictional twelve-person workshop, the thirteenth registration should join a waiting list instead of receiving an ambiguous confirmation. Define how quickly cancellations will be processed too.
Limit the information requested
A prototype uses fictional participants. For the real service, every field should have a clear purpose. Separate information required to organise the event from choices about later communications. Clearly explain what will be sent and when.
Ask for a complete journey
Describe the selection, entry, confirmation and cancellation screens to AI. Include messages for fully booked slots and incorrect entries. A visual confirmation should make it immediately clear whether a place is reserved or merely requested.
Simulate incidents
Try duplicate registrations, a slot change and two requests for the last place. Check that cancellation releases a place correctly. Before sending real emails, check the recipients and use a test environment.
Which AI training can help you move this project forward?
At eloRezo, near Angers in France, vibe coding training is part of learning to direct AI: describing a need, requesting changes and checking what works. Prepare a business use case, fictional examples and the rules to follow before discussing your project.
Explore eloRezo Vibe Coding training · Discuss your training needs
Frequently asked questions
Can you start without online payment?
Yes. Free registration or a participation request lets you test the journey before adding a payment system.
Do you need coding skills to prepare a prototype?
You can start by describing your needs in plain language. Putting the tool into service then requires checks suited to the project, sometimes with a technical professional.
Fictional learning examples. Article prepared on 1 November 2026 by eloRezo. Illustration generated with artificial intelligence.