
If you've ever used an AI app builder, you know the drill: you type a one-line idea, hit generate, and cross your fingers that the tool understood what you actually meant. Half the time it doesn't - and you end up rebuilding features from scratch or wrestling the AI back toward your original vision.
Bubble is tackling that problem head-on with its newest feature: app planning sessions.
Instead of jumping straight from prompt to generated app, Bubble AI now pauses to have a real conversation with you first. You describe your app idea, and Bubble AI asks thoughtful follow-up questions, things like how a specific feature should actually work, or what permissions a certain user role should have.
Your answers directly shape the plan. Features, user roles, and scenarios all get refined before a single screen is generated, which means the final output is far more likely to match what you actually pictured.
Most AI builders optimize for speed: prompt in, app out. That's great for demos, but it often falls apart for anything with real complexity, marketplaces, dashboards, multi-role platforms, anything where "it depends" is the honest answer to how a feature should behave.
By front-loading the clarifying questions, Bubble is essentially adding a planning layer to AI generation, the kind of discovery conversation a good developer or product manager would have with a client before writing any code. A few quick questions upfront can save hours of rework later.
Based on Bubble's own preview, the flow looks something like this:
Describe your app in plain language -- what it does, who it's for.
Bubble AI asks clarifying questions about specific features and user roles (e.g., what should a client see versus what a freelancer can access).
Watch the plan take shape in real time, with features and scenarios updating as you answer.
Generate the app once the plan actually reflects what you want -- not just a rough guess at it.
This fits into a pattern we're seeing across AI tools broadly: less "magic in a single prompt," more structured, iterative collaboration between human intent and AI execution. Planning sessions won't replace hands-on development, but they shift AI app generation from a guessing game to something closer to a real product conversation -- which, for anyone who's tried to explain a nuanced feature to an AI in one sentence, is a welcome change.
If you're building anything more complex than a simple CRUD app, this is worth trying the next time you spin up a project in Bubble.