Habit Tracking

AI-Powered Habit Planning & Daily Routine App for iOS

Esketchers developed an app that helps users build better routines by turning personal goals into structured daily actions. Combining AI-powered planning with flexible habit tracking, the platform allows users to generate personalized schedules or create custom goals, activities, reminders, and recurrence rules.

Outcome: With progress analytics, notifications, and intuitive tracking tools, the app helps users stay consistent across fitness, learning, mindfulness, productivity, and self-improvement goals.

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AI-Powered Habit Planning & Daily Routine App for iOS

Results What changed for TrackHabit

Before

  • Users had to manually plan habits and schedules
  • Goal setup required too many decisions upfront
  • Reminders were harder to manage consistently
  • Onboarding could feel disconnected from habit activation
  • Free and Pro usage needed structured enforcement
  • Progress visibility was limited
After

  • AI-generated goal plans from natural language input
  • Clarifying questions for more personalized schedules
  • Manual goal setup for users who want full control
  • Dashboard with daily activity tracking and quick logging
  • Trackers for simple habits that do not need full goal plans
  • Reports, streaks, charts, heatmaps, and completion insights

THE CLIENT

AI-powered habit planning app for
personal productivity

TrackHabit is an iOS productivity app designed for people who want to build better routines, stay consistent, and track progress across goals like fitness, learning, mindfulness, sleep, focus, and self-improvement.
The product combines AI-powered planning with traditional habit tracking. Users can either describe a goal in plain language and receive a structured activity schedule, or manually create their own goal, activities, reminders, and recurrence rules.

AI-Powered Habit Planning & Daily Routine App for iOS

Complex personalproductivity workflow

Platform overview

Users weren’t just logging habits. They were choosing goals, creating schedules, tracking activity, reviewing progress, adjusting routines, and trying to stay consistent over time. Every part of that journey needed to feel simple, guided, and fast.

AI
Converts goals into daily routines.
Mobile App
Tracking
Monitors streaks, completion rates, and activity.
Monetization
Supports Pro upgrades, purchases, and paywalls.

Deliverables core capabilites we built

AI goal creation system

A guided flow where users describe a goal, answer clarifying questions, and receive a structured activity plan generated by AI.

Manual goal and activity builder

A step-by-step setup experience for users who want to create goals, activities, icons, themes, difficulty, duration, and recurrence manually.

Scheduling engine

Flexible scheduling system using repeat rules, reminder times, start dates, end dates, and processed activity records.

Daily dashboard

A central home screen showing today’s activities, active goals, progress rings, weekly calendar strip, quick log actions, and tracker chips.

Trackers and quick logging

Standalone trackers for simple daily habits such as water, mood, workouts, steps, or custom targets without requiring a full structured goal.

Reporting & Analytics

Reports for completion rates, streaks, activity history, charts, heatmaps, timelines, and goal-level progress over selected date ranges.

Push notification journeys

Activity reminders, morning digests, streak-at-risk alerts, streak milestones, and goal-creation nudges to improve consistency.

Subscription system

A Pro upgrade flow with RevenueCat purchase handling, Superwall paywall placements, onboarding paywall logic, and quota-based upsells.

The problem

TRACKING WITHOUT PLANNING

Most users do not fail because they lack goals. They fail because turning a goal into a realistic daily routine is hard.

Users often start with broad intentions like “get fit,” “read more, ”or“ wake up earlier, ” but they struggle to break those goals into manageable activities, choose the right schedule, set reminders, and stay motivated long enough to see progress.

TrackHabit needed to solve the full habit-building journey, not just daily check-ins.

High setup friction

Users knew what they wanted to achieve, but not how to structure a practical routine.

Manual scheduling complexity

Creating activities, recurrence rules, reminder times, durations, and difficulty levels manually could slow down onboarding.

Low motivation after setup

Users needed streaks, reminders, milestone moments, and visual progress to stay consistent.

The solution

An AI-powered mobile habit planning system

We built TrackHabit as a complete habit-building platform for iOS that guides users from goal creation to daily execution, helping them plan, track, reflect, and improve their routines.

The app supports two onboarding paths: users can either choose the AI-powered experience, where they describe a goal and answer a few clarifying questions to receive a structured schedule with recommended activities and recurrence rules, or follow a manual setup flow to create goals and activities step by step with custom icons, colors, reminders, and repeat schedules. Once a goal is activated, the dashboard serves as a daily command center where users can track habits, complete activities, log quick updates, monitor progress, and review detailed reports.

TECH STACK

Every layer was built for mobile performance, AI-assisted planning, secure cloud sync, flexible
scheduling, and subscription-based growth.

React Native 0.79 + Expo SDK 53

Mobile App Layer

The core framework powering the iOS app with fast development and native-like performance.

TypeScript + NativeWind

Frontend UI Layer

TypeScript ensures reliable code, while NativeWind enables fast and consistent UI styling.

Firebase Auth + Firestore

Backend & Data Layer

Firebase Auth manages user identities, while Firestore stores app data and progress.

RevenueCat + Superwall

Subscription & Paywall Layer

RevenueCat manages subscriptions, while Superwall handles paywalls and testing.

AppsFlyer + Firebase Analytics

Growth & Analytics Layer

AppsFlyer manages attribution and deep linking, while Firebase Analytics tracks user activity.

Expo Notifications + AsyncStorage

Engagement & Local State Layer

Expo Notifications handles reminders and alerts, while AsyncStorage stores local app preferences.

EAS

Build & Deployment Layer

Expo Application Services supports build generation, deployment workflows, and release management for the iOS app.