Build with AI Copilot
AI Copilot is the AI builder inside the Momen editor. Describe what you want in natural language, and it plans the work and writes the result directly into your project — tables and relations, Actionflows, third-party APIs, AI Agents, and pages. No local toolchain, no code required.
AI Copilot and Headless · Momen BaaS solve different problems. Headless connects an AI coding tool in your own editor to a Momen backend, and the AI writes frontend code in your codebase. AI Copilot runs inside Momen and configures no-code resources in the project itself, building the frontend and backend together.
Open AI Copilot
Open Copilot from the project-level operations in the top navigation bar. The panel can be docked beside the editor or floated above it — switch with Dock panel and Floating panel in the panel header.
Alongside text, you can attach an image to a message — a screenshot of a layout you want, or a recording of a problem. Images are limited to 20 MB.
Research mode and Build mode
AI Copilot works in two modes, switched from Mode in the panel header:
| Mode | What it does | Typical use |
|---|---|---|
| Research | Answers questions, inspects the current project, and proposes an approach without changing anything | ”How should my Order table relate to my User table?” |
| Build | Creates and modifies project resources directly | ”Create an Order table and an Actionflow that submits an order” |
Use Research to understand a project or agree on a design, then switch to Build to carry it out.
Approve the plan before work starts
In Build mode, anything beyond a small change begins with a Suggested plan — the Business goals it understood, and the Execution steps it intends to take. Nothing is written to the project until you respond:
- Approve and start — AI Copilot begins building. Approving a plan also switches the session to Auto accept, so the changes in that plan are applied as they are made rather than waiting for individual confirmation.
- Request changes — send feedback describing what should be different, and AI Copilot revises the plan.
Reviewing the plan is the cheapest place to correct a misunderstanding, since no resources have been created yet.
Review proposed changes
Outside Auto accept, each change AI Copilot wants to make appears as a Proposed change that you can Confirm or Reject. Switch to Auto accept at any point to let a run continue without stopping at each step.
What AI Copilot can build
Data models
In the Data tab, AI Copilot creates tables, fields, and relations. This is where it is most effective at one-shot work: describe the business and let it plan the whole structure — users, products, and orders, with the foreign keys that connect them — instead of adding tables one at a time.
Actionflows
In the Action tab, AI Copilot builds Actionflows, including condition branches, loops, database reads and writes, API calls, and AI nodes. It can compose several nodes into a complete piece of business logic — submit an order, decrement inventory, then send a notification.
Third-party APIs
Also in the Action tab, AI Copilot configures third-party APIs: request method, path, parameters, and response structure, so an external service becomes callable from your project.
AI Agents
In the AI tab, AI Copilot builds AI Agents — prompts, inputs and outputs, contexts, and tools — producing a working draft Agent you can refine by hand.
Pages and components
In the Design tab, AI Copilot builds pages and components. Describe the layout and interactions you want, and it creates the components, binds them to data, and applies basic styling. This is what makes AI Copilot a full-stack builder rather than a backend one: a feature can go from data model to working screen in a single conversation.
Every resource AI Copilot creates is listed in the session’s created-items summary, grouped by kind — Table, Actionflow, API, and AI Agent. Select any item to jump to it in the corresponding editor and keep working on it yourself.
Follow AI changes
Turn on Follow AI changes and the editor navigates to each change as AI Copilot makes it, so you can watch the work happen instead of reconstructing it afterwards. Click anywhere, or use Stop following, to return to manual control.
Verify against the live app
AI Copilot does not only describe its changes — it can check them against your deployed backend:
- Read and count rows in live tables to confirm that data a flow or form should have written is actually there.
- Debug-run the draft version of an Actionflow and read every node’s inputs, outputs, duration, and errors — the same debug run the flow debugger performs.
- Invoke the deployed version of an Actionflow through the public API, with permissions enforced, to see what a real caller receives.
- Repeat a read as a specific account or role to check what that role can actually see. Without an identity, reads use the admin channel, which bypasses row and column permissions.
- Trial-run a draft AI Agent and read the resulting conversation.
- Live verification runs against the deployed backend. If your draft has unsynced changes, the result does not describe your draft, and AI Copilot says so in its answer.
- A debug run rolls back its database writes when the run ends. Invoking a deployed Actionflow does not roll anything back — its external effects (third-party APIs, emails and SMS, payments) really happen.
- Rows written to live tables, and any throwaway test accounts created for a role, are real and cannot be undone.
- Trial-running a draft AI Agent makes real model calls that spend the project’s AI Points and cannot be rolled back.
Builder AI Points
Building with AI Copilot spends Builder AI Points. They belong to your account rather than to one project, so the same balance covers every project you work on. Each message runs one or more model calls, priced from the provider’s published list price.
Two controls in the composer affect what a run costs:
- Model. The model selector shows each model’s cost multiplier relative to Luna, which is 1 — a model marked 2x spends points twice as fast for the same work.
- Effort. How hard the model thinks before answering, from Minimal to Max. Higher effort produces more thorough work and costs more points.
The panel header shows a live balance that turns amber when the balance is low and red when it is nearly gone. When it runs out, building stops with Out of AI Points — your progress is saved and the conversation stays where it is. Top up, wait for the next free grant, or have the project owner transfer project AI Points to the builder.
- Balance, usage history, and top-up: My Wallet · Builder AI Points
- Transferring a project’s AI Points to the builder: Manage Project Resources
Free points
- Every user, new and existing, receives 500,000 AI Points, valid for 90 days.
- On top of that, 200,000 free points are granted every Monday. Anything left over from the previous week expires when the new grant arrives.
Points move where you need them
A project’s AI Agent AI Points can be converted into the points AI Copilot spends on building, so a balance bought for one purpose is never stranded. See Manage Project Resources.
Builder AI Points are not the AI Points resource on the project management page. Project AI Points pay for AI features inside your published app — AI Agents, vectorization, and vector search. Builder AI Points pay for AI Copilot’s planning and building.