You have probably seen a version of this already. You type what you want, an AI goes to work, and a few minutes later there is an app on the screen.
The interesting question is not how fast that happens. It is what you are holding when it stops.
For most people who cannot write code, the answer has been: something that works, that they cannot read. It runs, and then one fix breaks something that used to work, and there is no way back through it. You did not build it, so you cannot see how it got that way.
That is the problem vibe nocoding is built to solve, and today it is live in Momen.
Vibe coding is AI on code. Vibe nocoding is AI on no-code.
You describe the app you want. AI builds it — the database, the server-side logic, the permissions, the interface. But what comes out isn't a codebase. It's a visual editor: tables you can open, workflows you can follow, rules you can click and change.
That's the whole idea. Not that AI is fast — everyone's AI is fast. That what AI hands you is something you can actually read.
It's for people who want to build a real product and don't write code. Not a prototype, not a landing page — a product with users, data, and money moving through it. You didn't write it. You still own it.
When AI writes code, the only person who can check the work is someone who reads code. When AI builds the same app as a table, a flowchart, and a rule, checking the work means looking at it. That is a skill you already have.
Momen's founder gave a longer version of this argument, including the parts that were hard to get right, at No-Code Week Frankfurt — it is written up in Momen's Pursuit of Vibe Nocoding.
In Momen, the thing you talk to is called AI Copilot. Vibe no-coding is the idea; Copilot is how it happens.
Copilot does not hand you instructions to follow or code to paste. It makes the changes in your project itself, and they land there the same as if you had made them by hand.
It works back to front — structure first, surface last, which is the order that decides whether an app holds up later.
The database. Where your app remembers things. Tell Copilot what your app needs to keep track of and it creates the tables, picks the field types, and sets up the relationships between them — a booking belongs to a customer, a customer has many bookings. You can open any of it afterwards; it looks like a spreadsheet with the connections drawn in.
The backend logic. The things your app does when nobody is looking at the screen. Charging a card, sending a confirmation, checking whether a room is already booked before accepting a second booking for it. In Momen these are Action Flows, and they look like flowcharts — you read them left to right, node by node. Copilot assembles the flow; you can follow it afterwards without anyone explaining it to you.
Permissions. Who is allowed to see and change what. "Each user can only see their own orders" is not a note in a document — Copilot turns it into a rule the server enforces, whether the request comes from your app or from anywhere else.
AI agents. If the thing you are building needs its own AI — a chatbot that answers customers, something that reads an uploaded document, something that sorts incoming messages — Copilot builds the AI agent that does it: the model it runs on, the instructions it follows, the inputs it receives, and the data it is allowed to reach.
The screens. This is the new part: Copilot builds the interface too, not just the backend. It creates pages, puts components on them, sets the colors and spacing and text styles, builds tabs and bottom navigation, wires a button to the Action Flow that should run when someone presses it, and connects each part of the page to the data that belongs there — all of it landing in the ordinary page and component structure of a Momen project. It also builds for phone, tablet and desktop rather than for one width and hoping — a card that fits a laptop and runs off the edge of a phone is a real defect, and Copilot treats it as one.
And it checks its own work. After Copilot builds a flow, it can run it and read what came back. After it builds a screen, it can look at the screen. A flow that was assembled but never run is not finished, and Copilot is built to treat it that way rather than to report success and move on.
The Copilot panel sits on the right side of the editor, and the editor follows along. When Copilot is building a table, you are looking at the data tab. When it is wiring a flow, you are in the flow. The build watches like a screen recording of itself.
There are three ways to run it, and you choose:
Research — Copilot reads your project and answers questions. It changes nothing.
Build — Copilot shows you what it is about to do and waits for you to approve it. You can reject a step, or ask for it differently.
Auto accept — Copilot goes ahead on its own. Useful once you have a feel for it.
Start in Build. Approving each step is slower, and it is also the fastest way to learn what the platform is actually doing, because you are reading a description of each change right before it happens.
The same panel lets you pick which model does the work and how hard it thinks — GPT-5.6 Luna at the xHigh thinking level is the default, and each option is labelled with what it costs relative to that. Heavier settings reason more carefully on tangled problems; lighter ones are cheaper for straightforward work.
And you can stop it mid-run. If it is heading somewhere you did not intend, say so and it changes course — you are not waiting for a batch job to finish before finding out it went the wrong way.
There are two entrances, and they end up in the same place.
Start from the idea. Go to momen.app. The first thing on the page is a box asking what you want to build. Type it in plain language — the kind of sentence you would say out loud to a friend. Sign up, and you land in your workspace with that description already in hand; Momen creates the project from it and Copilot starts building.
Start from an empty project. If you would rather set things up yourself, create a project from your workspace and open it. Copilot opens on the right by default. If you close it and want it back, the blue Ai button in the top right of the editor reopens it.
From there the loop is the same one every time:
Describe what you want. One or two paragraphs beats one line. Say who uses the app, what they do in it, and what has to be true — "each person only sees their own records" is a sentence worth including, because it becomes a real rule.
Watch it build. Read the steps as they land. In Build mode, approve them one at a time.
Check it yourself. Open a table and look at the rows. Open a flow and follow it. Run the thing on the front end and see whether the record appears where it should. Copilot checks its own work; you should still check it too, and now you can.
Change what you want changed. Either ask Copilot, or click into it and do it by hand. Nothing it built is off-limits or AI-only — it is the same project you would have built yourself, so it edits the same way.
Publish. When the draft is doing what you want, publish it and the app goes live.
If you have never opened the editor before, the editor overview is a short read and worth doing once.
Copilot AI Points are what building with Copilot spends. They are consumed in the editor while Copilot works — reading your project, planning a change, making it — and only there.
A new account gets 500,000, valid for 90 days. They arrive when you sign up, so you can start building before deciding anything.
The balance sits on your account, not on a project. It is one pool shared across everything you build. Points you did not spend on your first idea are still there for your second, and you never have to decide up front which project deserves them.
Not demos. Products with users, data and money moving through them.
Futurise. Leon Petrou teaches AI and automation to hundreds of thousands of students. He rebuilt his whole learning platform on Momen in four weeks — forum, gated courses, downloadable templates, livestreams, Stripe subscriptions, and an AI assistant that answers from his own content. Over 1,000 members migrated across; first paying customer in week one. Read the story.
Minicollector. Anthony Xu's sports card marketplace: 46,000 collectors, more than four million SKUs. Cards are consigned, verified, listed, sold and shipped, with commission settled and shipping labels printed automatically. One person runs it. Read the story.
Both were built by hand, by people who do not write code. Copilot changes who does the assembling, not what gets assembled.
Vibe no-coding with Momen: describe your app, and AI builds it as something you can see, change, and own.
You did not write it. You can still open every part of it, and you can still change any of it without asking anyone.
Open momen.app, type what you want to build, and watch it get built.