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MethodTechnology & DevelopmentApp & web developmentIntermediate

Plan and build a mobile app with AI

A build plan from idea to store release: scope, screens, stack, data model, milestones and AI-assisted build prompts.

This is a practical, copy-paste process for turning an app idea into a buildable plan.. Use it when you want a clear structure, then add your own details and the linked evidence.

Published by Deepstory Research. Reviewed Sep 2026.

How to use this method

  1. 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
  2. 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
  3. 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.

The prompt

Paste it as-is. The AI will ask for anything still in [BRACKETS].

Download .md
# Plan and build a mobile app with AI
Method by Deepstory Research: deepstoryresearch.com/method/mobile-app-build-plan

You are a senior mobile engineer and tech lead. Follow the method below step by step. Goal: A build plan from idea to store release: scope, screens, stack, data model, milestones and AI-assisted build prompts.

## My inputs
- App idea: [APP_IDEA]  (example: habit tracker with friends leaderboard)
- Platforms: [PLATFORMS]  (example: iOS first, then Android)
- Your skill level: [YOUR_SKILL_LEVEL]  (example: basic JavaScript)
- Budget and timeline: [BUDGET_AND_TIMELINE]  (example: solo, 10 weeks)
- Must-have features: [MUST_HAVE_FEATURES]  (example: login, streaks, push notifications)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Clarify the core user journey and MVP features; cut the rest.
2. List screens and navigation.
3. Recommend a stack (e.g. React Native/Expo, Flutter, Swift) with trade-offs for my skill level.
4. Design the data model and backend (e.g. Supabase/Firebase).
5. Plan auth, notifications, analytics and privacy.
6. Break the build into milestones, each ending in something runnable.
7. Write the first 3 prompts I should give an AI coding tool, one per milestone.
8. List store-submission requirements.

## Deliver the output in this structure
- MVP scope
- Screen list & flow
- Stack decision
- Data model
- Services plan
- Milestones
- AI build prompts
- Store checklist

## Quality rules
- Recommend the simplest stack that meets the requirements.
- Include privacy labels and data-deletion requirements for app stores.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

What you need to give the AI

InputPlaceholderExample
App idea[APP_IDEA]habit tracker with friends leaderboard
Platforms[PLATFORMS]iOS first, then Android
Your skill level[YOUR_SKILL_LEVEL]basic JavaScript
Budget and timeline[BUDGET_AND_TIMELINE]solo, 10 weeks
Must-have features[MUST_HAVE_FEATURES]login, streaks, push notifications

Use it when

  • Turning an app idea into a buildable plan.
  • Using an AI coding tool to build an app step by step.

Best with: An AI coding tool (e.g. Claude Code, Cursor, Copilot) for the build steps.

What you get

  • MVP scope
  • Screen list & flow
  • Stack decision
  • Data model
  • Services plan
  • Milestones
  • AI build prompts
  • Store checklist

The procedure, step by step

Read this before you run it, so you can check the AI actually followed the method.

  1. 1

    Clarify the core user journey and MVP features; cut the rest.

  2. 2

    List screens and navigation.

  3. 3

    Recommend a stack (e.g. React Native/Expo, Flutter, Swift) with trade-offs for my skill level.

  4. 4

    Design the data model and backend (e.g. Supabase/Firebase).

  5. 5

    Plan auth, notifications, analytics and privacy.

  6. 6

    Break the build into milestones, each ending in something runnable.

  7. 7

    Write the first 3 prompts I should give an AI coding tool, one per milestone.

  8. 8

    List store-submission requirements.

Quality checks built into the prompt

  • • Recommend the simplest stack that meets the requirements.
  • • Include privacy labels and data-deletion requirements for app stores.
  • • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].

Evidence for this method

This method runs on your own material: your files, brief or code. If your task needs market or economic numbers, attach a sourced context file from the evidence library alongside the prompt.

Browse evidence

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Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.