Your MVP needs a smaller scope.
The fastest route to a first release starts with what you leave out.
Choose one useful journey
An MVP should help you learn something specific from real use. Start with one audience, one problem and one complete journey. A list of features is not yet a learning goal.
For a booking product, the first journey might be finding an available time, making a booking and receiving confirmation. A referral program and advanced reporting can wait until there is evidence they matter.
Find the dependencies early
Access to a payment provider, an external API or a customer dataset can determine the schedule. List these dependencies before implementation. Decide which ones must be real for the experiment and which can safely be simulated in a prototype.
Simulation is a deliberate prototype choice. It must not silently remain in a product that people believe is live.
Write down what counts as done
Useful acceptance criteria describe behavior: a booking cannot overlap another confirmed booking; a user can recover from a failed payment; the owner can see what was created. These criteria guide both implementation and testing.
Keep the release honest
Speed comes from a narrow scope and short feedback loops, not from renaming an unfinished prototype. Agree on the deployment, monitoring and handover needed for the first release.
Our AI Build Sprint is one way to tackle a bounded piece of the product. Tell us about the problem before writing a six-month feature list.