How to build a habit tracker app with AI

Before writing a prompt, define the smallest useful version.

For a habit tracker, that usually means:

• a home screen with today's habits
• a way to mark a habit as done or skipped
• a screen to create or edit habits
• simple progress views such as streaks or weekly completion
• basic settings

Then decide what data each habit needs. Keep it plain.

A practical starter model:

• habit name
• color or icon
• frequency: daily, weekdays, custom days
• target: once per day, multiple times, minutes, glasses, reps
• current streak
• completion history

Also decide whether this is:

• a personal single-user prototype
• an app with sign-in and saved data
• a paid app with subscriptions

If you only want to test the idea, start without accounts or payments. That keeps the first build smaller and easier to review.

In Moremade, you describe the app in plain language and the AI agent writes the source code. For websites, it generates React with Tailwind. For mobile apps, it generates React Native with Expo.

For a habit tracker, your first prompt should cover:

• platform: web app or mobile app
• core screens
• main actions
• visual style
• whether data can be local for now or needs a backend

Example first prompt:

Build a mobile habit tracker app in React Native using Expo. I want a clean, simple interface with a home screen showing today's habits as cards with a checkbox or tap target to mark them complete. Add a create habit screen and an edit habit screen. Each habit should support a name, icon, color, frequency, and target count per day. Include a progress view with current streak and last 7 days completion. Start with local sample data only, no sign-in yet. Use a calm, minimal style with clear spacing and large tap targets.

This is enough to get a first working structure without over-specifying every pixel.

After the first generation, use the live preview to inspect the app. Do not try to fix everything in one giant follow-up request. Work screen by screen.

Look for:

• whether the main flow is complete
• whether habit cards are easy to scan
• whether mobile tap targets are large enough
• whether progress information is understandable
• whether labels match how users think about habits

Good follow-up prompts are specific and limited. For example:

• "Change the home screen so habits are grouped into Morning, Afternoon, and Evening sections."
• "Make the completion action a larger circular check button on the right side of each habit card, and show the current streak below the habit name."
• "Add a weekly progress screen with a simple 7-day grid and percentage completed this week."

Moremade also has a visual inspector and code view, which helps when you know exactly which element needs changing. Use chat for broader product changes, and the inspector when you want to point at a specific button, card, or spacing issue.

A habit tracker often needs saved progress across devices. If that matters, add Supabase after the basic interface makes sense.

Supabase is the relevant built-in connector here because it covers:

• database tables
• sign-in
• file storage if you later add avatars or uploads

A sensible sequence is:

1. Build the app with local data first.
2. Confirm the screens and interactions feel right.
3. Connect Supabase.
4. Ask Moremade to replace local sample data with real habit records and completion history.
5. Add sign-in if users need private data.

For many habit trackers, Stripe is not needed at the start. Add Stripe only if you are actually building a paid product, such as a subscription plan or one-time premium upgrade. Moremade supports Stripe checkout with prices you set, but it is extra complexity for a first version.

Keep the first database model simple:

• users
• habits
• habit_completions

That is usually enough for a usable MVP.

Even if the app looks fine in preview, habit trackers are used in quick, repetitive moments. Testing should focus on speed and clarity.

Check these practical points:

• Can you mark a habit complete in one tap?
• Is the add-habit flow short enough?
• Are streaks and history readable without hunting around?
• Are buttons easy to hit on a phone?
• Does the app still make sense when there are many habits?

If you are building a mobile app in Expo, pay close attention to spacing, scroll behaviour, and form inputs. If you are building a website, test narrow mobile widths and make sure the layout still supports thumb use.

Useful refinement prompts at this stage:

• "Reduce the number of taps needed to create a new habit."
• "Make the home screen work better on a small phone width with larger spacing and fixed bottom navigation."
• "Show today's completion count at the top and visually dim completed habits."

This testing phase usually reveals product issues earlier than visual polish does.

Once the app is usable, publish it. Moremade can publish in one click to a free yourname.moremade.ai subdomain. That is a good default for demos, user testing, or sharing with collaborators.

If you need a branded address, paid plans support custom domains. Domains can also be bought inside Moremade.

Before publishing, do a short release check:

• remove placeholder text and fake labels
• make sure key buttons work
• confirm any Supabase connection is using the right project
• test sign-in and sign-out if enabled
• verify the app title and basic metadata

Because Moremade lets you export the full source as a ZIP or push it to GitHub, publish is not the same as lock-in. You can keep iterating in Moremade or take the code elsewhere later.

The usual problems are not technical. They come from building too much too early.

Avoid these mistakes:

• Starting with accounts, payments, reminders, social features, and analytics all at once. Build habit creation and completion first.
• Writing vague prompts. "Make a habit tracker" is too broad. Name the screens, actions, and data fields.
• Changing too many things per prompt. Small requests produce clearer results and are easier to verify.
• Designing for an ideal user with only three habits. Check what happens with ten or twenty habits.
• Skipping export. Download the ZIP or push to GitHub once you reach a stable version.
• Ignoring version history. Save meaningful checkpoints before larger changes.

A good first release is one where a user can add a habit, complete it, and understand their recent progress without explanation.