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    Building a Full-Stack AI Trip Planner with Momen and Cursor: A Step-by-Step Guide

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    Evelyn Chen
    ·December 16, 2025
    ·7 min read

    Watch the live building demo on Youtube

    Cursor is amazing.

    If you already know how to code, it feels like magic: you describe what you want, and Cursor generates clean React components, API calls, and even complex logic.

    But if you don’t have a technical background, there’s often a moment of confusion:

    “This looks great… but where is my data stored?”
    “Who is handling authentication?”
    “What actually happens when the AI generates something?”

    If you’re comfortable with code, Cursor can generate servers, APIs, database logic, and complex workflows just fine. However, for people who don’t know code, frontend is visual but backend is invisible. You can see pages, buttons, layouts, and flows immediately. Data models, authentication, AI workflows, and payments all happen behind the scenes.

    That’s where using a visual, no-code backend like Momen makes a big difference.

    Momen makes the “invisible” parts of an app visible — databases, logic, AI flows, and payments — so non-technical builders can understand what exists behind the UI, while Cursor continues to generate high-quality code on top of it.

    In this tutorial, we’ll walk through how to build a production-ready AI Trip Planner using:

    • Cursor as your AI-powered code editor (for the frontend)

    • Momen as your no-code backend (for everything behind the scenes)

    You don’t need to understand backend code. You just need to understand what pieces exist and how they connect.

    Learn from the step-by-step Cursor x Momen tutorial: https://github.com/momen-tech-org/momen-cursor-rules

    Why Momen Is a Great No-Code Backend for Cursor

    Momen is a next-generation full-stack no-code platform, but its backend is designed to be used independently as a Backend-as-a-Service (BaaS). It lets you see and manage everything behind the app, without writing backend code.

    You can visually set up:

    • Your data (like trips, users, and orders)

    • Your app logic (what happens step by step)

    • AI features

    • Payments and user accounts

    Then Cursor builds a custom frontend on top of that structure.

    In simple terms:

    • Momen handles what’s behind the scenes

    • Cursor handles what users see and interact with

    Because the backend is clearly defined, Cursor doesn’t have to guess — it builds with confidence.

    For non-technical builders, this turns the backend from a “black box” into something you can actually understand and trust.

    What We’re Going to Build

    We’ll build an AI Trip Planner where users can:

    • Sign up and log in

    • Enter a destination, budget, and trip length

    • Use AI to generate a day-by-day itinerary

    • Spend credits (purchased via Stripe)

    • View saved trips and details

    Momen will handle all backend logic.
    Cursor will generate the frontend UI.

    Step 1: Design the Data in Momen

    Every app starts with data.

    Before you build any UI, you need to decide what information your app stores and how those pieces relate to each other. In Momen, you do this visually by defining your database tables and relationships.

    For the AI Trip Planner, the core data models look like this:

    • Trip
      Stores destination, start date, budget, and the owner of the trip.

    • Itinerary Day
      Each trip contains multiple days.

    • Activities / Meals
      Each day contains multiple activities or restaurant suggestions.

    • Account / Orders
      Tracks user credits and Stripe payment history.

    You can build these tables manually, or use Momen AI Copilot to generate them for you.

    With Copilot, you simply describe your app’s data structure in plain language, and Momen creates the tables and relationships automatically — no SQL, no migrations, no backend setup by hand.

    Resources

    Step 2: Set Up the AI Agent (Structured, Not Just Text)

    To make the trip planner usable in a real app, the AI must return structured data, not just free-form text.

    In Momen, you can visually configure an AI agent to control what the AI receives, how it reasons, and what format it returns.

    1. Define the AI inputs and Prompt Template

    In Inputs, define what data the agent will receive from your app.
    Inputs can be different types, such as text, number, or date.

    For this example, define:

    • Destination

    • Duration

    • Budget

    These inputs come directly from your frontend.

    Then, configure the AI Prompt Template.

    In the Prompt Template, describe:

    • The agent’s role

    • The task it should perform

    • The constraints it must follow

    Make sure to connect the inputs you defined above into the prompt.

    This tells the AI what to do and how to do it.

    2. Configure tool use

    In Tool Use, connect third-party APIs (such as Google Places API) so the AI can reference real locations and external data when generating results.

    3. Define structured output

    Define a fixed output schema so the AI always returns structured JSON, for example:

    • Daily itinerary

    • Activity list

    • Location name and time

    This allows your backend and frontend to reliably parse and display the result.

    Resources:

    Step 3: Create Backend Action Flows

    Action Flows define what actually happens when a user clicks “Generate Trip”.
    They are the backend workflows that control the full execution process.

    In Momen, use Action Flows to:

    • Trigger AI calls

    • Process and transform data

    • Handle webhooks from external systems

    For this app, you will set up multiple workflows under different conditions.

    In Momen, this is done visually — like building a mind-map style process, where each step is an action in the flow.

    For example, one Action Flow might:

    • Check and deduct user credits

    • Trigger the AI agent

    • Loop through the AI output

    • Save each day and activity into the database

    • Trigger a secondary AI agent to generate cover images

    All of this logic lives entirely in the backend — where it belongs.

    Cursor does not need to recreate this logic.
    It simply calls one Action Flow and receives the result.

    Resources:

    Step 4: Let Cursor Understand Your Backend

    Now we connect everything to Cursor.

    You’ll:

    • Add the Momen MCP server to Cursor settings

    • Add the Momen Cursor Rules to your project

    • Open your project in Cursor and provide AI with your Momen details to start vibing your frontend.

    The rules teaches Cursor:

    • How your database is structured

    • How to call Momen’s GraphQL APIs

    • How authentication and action flows work

    From this point on, Cursor is no longer guessing.

    Step 5: Ask Cursor to Build the Frontend

    Now comes the fun part.

    You can prompt Cursor with something like:

    Build an AI Trip Planner using the Momen backend for Project [ID].
    Use React + Vite.
    Include login, a trip dashboard, and a trip generation form.

    Cursor will:

    • Implement authentication correctly

    • Fetch and display trips

    • Trigger backend action flows

    • Integrate Stripe checkout using your publishable key

    You get a working UI in minutes.

    Step 6: Polish and Debug with AI

    Once your main flows are working, the final step is polishing and debugging — both in Momen and in Cursor.

    When you change anything in the backend:

    • Always click “Sync Backend” to apply and confirm your latest changes

    To debug efficiently:

    • Use Logs in Momen to inspect errors and execution steps (AI-assisted)

    • Use Mirror Preview to test end-to-end behavior:

      • Even if your main frontend is external, drag a few test components into Momen

      • Run AI, Action Flows, permissions, and payments in a full flow

      • Use login simulation to test different user roles and permission scenarios

    This helps you verify that your backend logic works correctly before connecting it to production UI.

    When you’re unsure:

    • Use AI Copilot (Knowledge Mode) to ask anything Momen-related while building

    • Get instant explanations about data models, Action Flows, permissions, or AI agents

    On the frontend side, ask Cursor to refactor and clean AI-generated code once the core flow works

    Together, this final pass turns a working demo into a stable, production-ready app.

    What This Approach Gives You

    By combining Cursor + Momen, you get:

    • AI-generated frontend code

    • A real backend you don’t have to code

    • Clear separation between UI and logic

    • An app that can scale beyond a demo

    You’re not locked into templates.
    You’re building a real product.

    Where to Go Next

    • Add user preferences (e.g. family-friendly, budget travel)

    • Expand the AI agent with more tools

    • Deploy the frontend on Vercel or Netlify

    • Keep iterating—without rebuilding your backend

    Final Thought

    Cursor makes building feel possible in a way it never did before.
    If you can explain your idea clearly, you can already start turning it into something real.

    What usually separates a quick demo from a real product is how the “behind the scenes” parts are handled — data, logic, AI flows, and payments. For many non-technical builders, having those parts visible and structured makes it much easier to keep building in public and iterating with confidence.

    Momen is one way to support that journey. It gives your ideas a real backend to grow on, while Cursor helps you move fast on the frontend. It’s not the only way — just a practical one if you want to go from idea to something real, sooner.

    If you’re curious, try building something small.
    Share it. Improve it. Break it. Repeat.

    And if you want a backend that stays out of your way while you do that, you can explore Momen+Cursor here: https://github.com/momen-tech-org/momen-cursor-rules

    Explore Momen: https://momen.app/

    Build Your App Today. Start With No Code, Gain Full Control as You Grow.