Building an application with AI: from idea to first MVP

I start with feasibility and complexity. Who would use the application? How do they handle the task today? Which alternatives exist? An assistant can help organise hypotheses, but its opinions or scores do not prove demand.

The recording also stresses the need to validate outside your own assumptions. Before adding features, speak to people who recognise the problem and observe how they solve it. An attractive idea needs to meet a real situation.

In the video, I name several options and show my preference at the time for Visual Studio Code with Claude. That choice reflects my experience when the video was recorded; it is not a current comparison of prices or capabilities.

The relevant part of the workflow is also using the assistant to understand the project: ask it to explain what it created, how to start it and where to investigate an error. If an answer is unclear, split the task and check one step at a time.

A minimum viable product is a first version for learning. In the recording, I suggest gathering the intended user, their problem, the features and necessary connections into clear instructions. That preparation reduces contradictory requests during development.

As an editorial exercise, write a scope sentence: 'This version lets this person complete this task.' Then identify what is excluded. One finished, demonstrable function is more useful for validation than several screens that do not yet complete any journey.

The video mentions data, login and backend services as a later stage. When those pieces are necessary, the application must resolve more than its appearance: who can access it, what information it stores and what happens when something fails.

I also discuss keys and configuration. A prompt requesting security does not certify that a system is secure. Before using real data, review access and integrations with technical expertise appropriate to the project. You can begin by validating an interaction with sample information.

Complete the first cycle by showing the MVP to someone in your intended audience. Ask them to complete the main task and observe where they need help. That test will give you better questions than continuing to refine the application without users.

Keep the feedback, decide on a small change and check again. Income figures mentioned in the video's introduction are commercial aspirations; building an MVP does not guarantee revenue. Its first value is helping you learn what is worth developing.