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Adalo turns plain descriptions of an app into working mobile and web screens, so instead of dragging elements around a visual builder, you describe a screen, a data structure, or a piece of logic and Adalo builds or changes it for you. Connected to Neotask, your agent becomes the one holding that conversation: describe a feature and it asks Adalo to create the screen, adjust the data behind it, or rewire the logic connecting pieces together. Because everything runs through natural language, someone without app development experience can still shape a working product step by step, one request at a time, without ever opening the drag-and-drop editor or learning where each setting lives. Neotask can carry context between requests, so asking for a login screen one day and connecting it to a user table the next builds on what came before instead of starting over from a blank canvas each time. The agent reads back what Adalo produced so you can confirm before the next change, which suits founders, small teams, and anyone sketching a product before committing engineering time or budget to it. Because the changes land inside the actual app rather than a mockup, what you see after each request is something you could hand to a tester the same day. Over a longer project, that back-and-forth turns into a running log of decisions: what screen came first, what data structure it depends on, and what logic ties the two together, all built up through ordinary conversation rather than a specification document nobody reads.
| create_screen | Adds a new screen to the app based on a plain-language description of its purpose and layout. It fits into the existing navigation so the app stays coherent as it grows. |
| update_data_model | Creates or modifies the collections and fields that store the app's data, including relationships between them. Changes apply immediately to whatever screens already read from that data. |
| edit_app_logic | Changes the actions and conditions that connect screens, buttons, and data, such as what happens after a submission. This is where most of the app's actual behavior lives once the screens are in place. |
| modify_screen | Rearranges or restyles an existing screen without a manual builder session. Useful for smaller adjustments that don't warrant a whole new screen. |
| manage_app_structure | Adjusts how screens and data fit together across the app as it grows past a first draft. Keeps the overall structure organized as more requests get layered on. |
A freelance designer needs a rough app to show a client on Friday and doesn't have time to learn a new builder before then. She tells Neotask to have Adalo set up a three-screen booking app: a home screen, a booking form, and a confirmation screen. Neotask relays each request and checks back after every screen so she can redirect if something looks off before moving to the next one. By afternoon she has a working prototype to walk the client through, built without ever touching the visual editor herself, and with enough polish to feel like more than a sketch.
A small team's app collects sign-ups, but early testers ask for a way to pick a plan tier during onboarding. The founder tells Neotask to add a plan field to the sign-up table and show it on the onboarding screen. Neotask passes the change to Adalo, which updates the data model and the related screen logic in one pass. The founder reviews the result, asks for one more tweak to the field's default value, and moves on to the next piece of feedback waiting in the queue.
No. Describing what you want is enough, since Adalo builds and modifies the app from that conversation instead of requiring manual placement of elements.
Yes. Adalo can modify screens, data, and logic that already exist, so changes build on the current app rather than replacing it.
Both mobile and web apps, since Adalo supports creating and managing screens, data, and logic for either.
Neotask can check in after each change so you see what Adalo produced before asking for the next one, rather than pushing a batch of edits at once.
It works best broken into steps, screen by screen or feature by feature, so each change can be reviewed before the next one builds on it.
People sketching a product before committing engineering time, along with small teams that want to iterate on an app quickly through conversation instead of a formal build process.