---
type: method
slug: mobile-app-build-plan
title: "Plan and build a mobile app with AI"
category: "Technology & Development"
subcategory: "App & web development"
level: intermediate
source: https://deepstoryresearch.com/method/mobile-app-build-plan
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- 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.

## Prompt

# 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.

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