3 months ago, building an app required:
- 6 months of development
- $300K budget
- Team of 5 devs
- Prayer that nothing breaks
Yesterday, I created and deployed CoachFlow in 22 minutes.
Workflow: ChatGPT - Lovable - Supabase - Cursor
step-by-step how:
I'll be using http://Lovable.dev as the main engine for this workflow.
Lovable’s new AI agents handled UI logic, interactions, and flow like a real senior dev—no boilerplate, just production-ready screens.
1. start with the vision
before opening any tool, get 3 things clear:
- who’s it for?
- what problem does it solve?
- what makes it feel magic?
I use ChatGPT for all this
for CoachFlow, it’s an AI coach that helps you stay on track with goals, reflect daily, grow consistently
2. map the experience
now break down how people will use it:
- set goals
- track habits
- write reflections
- get insights + motivation
this is your user journey. keep it simple. focus on what really matters.
3. pick your 5 must-have screens
don’t overbuild.
CoachFlow’s MVP only needs:
- home dashboard
- goal + habit tracker
- daily reflection journal
- weekly insights
- settings + personalization
less = faster shipping.
4. define the UI with GPT
get ChatGPT to describe each screen layout.
ask it to include:
- components
- user actions
- nav structure
- bonus details like mood sliders or coach tone toggles
this becomes your blueprint for dev + design.
(prompt in ALT)
5. choose the vibe
we went with a modern glassmorph style and bright gradients:
🔹 glowing buttons
🔹 soft cards
🔹 vibrant colors (think cosmic bloom, vaporwave, arctic aurora)
this makes the experience feel alive, not another boring productivity app.
6. build the frontend in Lovable
http://lovable.dev makes it easy to bring your UI to life—without writing boilerplate.
here you can:
- import GPT layouts
- create interactions + flow logic
- preview how the app feels
in hours, you get a working PWA, not just mockups.
7. backend powered by Supabase
connect your frontend to real data with Supabase.
you get:
- email auth
- journaling + habit database
- AI prompts storage
- file uploads (for voice-to-text reflections)
zero DevOps. everything just works.
8. use Cursor to make edits
in Cursor, you can:
- refactor screens in seconds
- add components with prompts
- test new logic live
- generate database schema instantly
9. test + ship
once the app flows, just:
- connect to Netlify (for hosting)
- add a manifest for PWA install
- share the link and start collecting feedback
no App Store, no approval wait.
you don’t need a big team to build something personal + powerful.
you just need:
- one clear idea
- http://lovable.dev
- a tight scope
- and a few AI tools to do the heavy lifting
CoachFlow is proof.
just build better.
That's a wrap🍹 Hope you enjoyed it.
Find daily AI content → @samuraipreneur 🥷
