CONTENTS

    Build a Spirit Pizza Topping Quiz with Codex and Momen BaaS

    avatar
    Cici Yu
    ยทJune 26, 2026
    ยท2 min read

    This showcase demonstrates building a personality quiz using Codex and Momen BaaS. Users answer five questions to discover their "spirit pizza topping" via AI analysis.

    Momen BaaS is a visual, Postgres-native backend that AI coding tools and no-code builders plug into. You configure your data model, AI agents, and logic in the editor โ€” it exposes a standard GraphQL API your frontend consumes. One backend, many frontends. AI builds your UI; Momen is the backend that survives production.

    Live Demo: what-are-you-really-pizza-topping.vercel.app

    Key Concept

    The project separates concerns: backend infrastructure lives entirely in Momen using visual configuration, while Codex builds and deploys the frontend to Vercel. "The editor is the source of truth" โ€” when changes sync, the API shape updates automatically.

    What the System Does

    App Features

    • Nickname entry with one-shot protection ("One shot only ๐Ÿ˜‰")

    • Five database-driven quiz questions with preset options

    • Asynchronous AI agent mapping answers to spirit toppings

    • Result screen displaying topping name and summary

    • No user accounts or external payment systems

    Data Model

    Table

    Purpose

    question

    Five quiz prompts

    option

    Answer choices with psychological context

    spirit_result

    Outcome catalog

    quiz_result

    Per-nickname results with unique constraint

    Relations flow: question โ†’ option โ†’ quiz_result โ†’ spirit_result

    AI Agent

    The structured-output agent receives five option IDs and returns typed JSON: { spirit_result_id, result_name, result_summary }. Structured output prevents text parsing errors and maps directly to database columns.

    Backend Logic

    Two Actionflows coordinate operations:

    1. check-username-status (sync): Validates nickname availability and reserves entry

    2. CrownUser (async): Runs AI agent and updates results via WebSocket subscription

    Integration Approach

    Momen handles:

    • Tables and relations

    • Seed data import

    • AI agent configuration

    • Actionflow orchestration

    • GraphQL API deployment

    Codex handles:

    • GraphQL query generation

    • Custom quiz UI

    • Vercel deployment

    The Momen plugin gives Codex direct access to the live backend schema, eliminating guesswork about field names or API shapes:

    # Codex
    codex plugin marketplace add momen-tech-org/momen-nocode-plugin
    codex plugin add momen-nocode@momen

    Once the plugin is installed, Codex reads your tables, Actionflow inputs/outputs, and AI agent schemas directly. When you change the backend and sync, schema re-introspection keeps your frontend code in sync automatically.

    Development Timeline

    Phase

    Time

    Backend setup

    ~1 hour

    Frontend development

    ~1 hour

    Total MVP

    ~2 hours

    Costs: Momen Pro (required for AI), Codex subscription, Vercel free tier, and per-agent-run AI points.

    Key Technical Highlights

    • Schema introspection via the Momen plugin prevents incorrect field assumptions

    • Structured AI output maps directly to database columns

    • One-shot enforcement combines unique constraints with sync validation

    • Modularity โ€” swap quiz topics by changing seed data and prompts only

    Key Links

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