ShipLock — Finish
What You Start
A cross-platform AI-powered productivity app that replaces vague goals with structured Focus Tracks. AI generates daily milestone roadmaps, and users check in each day to ship their projects — not just start them.
The problem isn't starting. It's finishing.
The productivity app market is saturated with to-do lists and habit trackers that focus on starting. Research shows most personal projects are abandoned within the first two weeks. We needed to build an app that changes the equation entirely.
Commit to Finishing
Help users lock into one project at a time — no switching, no juggling, no excuses until it ships.
AI-Generated Milestones
Provide daily actionable milestones generated by AI so users always know what to do next — no planning paralysis.
Streaks & Reflections
Track progress with streaks, daily reflections, and completion rates that keep users engaged until the finish line.
Cross-Platform
Ship on both iOS and Android from a single codebase with native performance on both platforms.
Under 30 Days
Reach production quality in under a month to validate the concept quickly and iterate with real users.
Behavioral Design
Build intentional friction into quitting and skipping — make abandoning a project a conscious, accountable decision.
AI at every layer — product and process.
AI wasn't just a feature inside ShipLock — it was embedded in every phase of how we built it.
Architecture & Planning
Claude Code helped design the feature-first project architecture, define data models and Firestore relationships, and plan the GoRouter navigation graph with auth guards — in hours rather than days.
Accelerated Code Generation
Repository patterns, Riverpod providers, and full ConsumerStatefulWidget screens with theme tokens were generated and refined iteratively — cutting boilerplate time by over 60%.
In-App AI Intelligence
Google Gemini AI powers the Finish Path feature — analyzing project type, duration, and goals to generate structured daily milestone plans. The model is hot-swappable via Firebase Remote Config.
AI-Driven Testing & Debugging
Edge cases in date handling, timezone management, and streak calculation were identified through AI-assisted code review. Firebase security rules and Firestore query patterns were validated with AI guidance.
Describe your goal.
AI builds the path.
When a user locks in a project, Google Gemini AI analyzes the project type, duration, and finish definition to generate a structured daily outcome plan — transforming abstract goals into concrete daily milestones.
- check_circle 6 project types — Personal, Career, Creative, Health, Learning, Other
- check_circle Flexible durations — 14, 21, or 30-day commitments
- check_circle User-defined finish line drives AI milestone generation
- check_circle Model upgradable via Remote Config — zero app updates needed
Model: Google Gemini 2.5 Flash via Firebase AI SDK
One project per track.
No switching allowed.
Focus Tracks are time-blocked commitment slots — Morning, Afternoon, Evening, or Custom. Each track holds exactly one locked project. Users see their daily milestone, check in, and track their streak and completion rate in real time.
- check_circle Multi-track dashboard with active projects, streaks, and total ships
- check_circle Individual track view with today's AI milestone and activity history
- check_circle Daily check-in with notes, reflections, and file attachments
- check_circle Push notification reminders tied to Focus Track schedules
Every screen designed for commitment.
From onboarding to completion certificates, every interaction reinforces the psychology of finishing.
Focus Track Setup
Choose a time-blocked commitment slot — Morning, Afternoon, Evening, or Custom. Each track holds one locked project at a time.
Lock In a Project
Define your project, pick a type and timeframe, and commit. Once locked, there's no switching — only finishing or consciously quitting.
Daily Check-In
Mark days as complete, add reflections, and attach proof of work. Daily momentum is built through tiny, consistent wins.
Streaks & Celebrations
Every completed day triggers a celebration with streak count and track progress. Small wins compound into shipped projects.
Profile & Lifetime Stats
Track shipped projects, quit count, longest streak, activity charts, and full project history. Your builder identity, quantified.
Project Parking Lot
New ideas don't derail your current project. Park them safely and activate them once your current commitment ships.
Intentional friction. By design.
Quitting and skipping are allowed — but never easy. Every exit has accountability built in, making abandonment a conscious decision rather than a quiet drift.
Serverless. Scalable. Shipped fast.
Flutter for cross-platform UI, Firebase for zero-ops backend, and Gemini AI for in-app intelligence — the fastest path from idea to production.
Mobile App
Flutter & Dart — single codebase for iOS & Android
Firebase Backend
Fully serverless — zero server provisioning
AI & Intelligence
Gemini AI for in-app features + Claude Code for development
Feature-First Clean Architecture
Each feature is a self-contained module with its own screens, widgets, and providers — enabling parallel development and clear ownership boundaries.
15 feature modules. One month.
Every module is self-contained, independently testable, and contributes to the core mission: help users finish what they start.
The numbers speak for themselves.
What we took away.
AI Accelerates Every Phase
Claude Code wasn't just a code generator — it was a thinking partner. From evaluating Riverpod vs Bloc trade-offs to designing Firestore collection structures, AI compressed decision-making from hours to minutes across the entire SDLC.
Firebase Eliminates Ops Entirely
With a sub-30-day timeline, Firebase gave us real-time sync, offline support, auth, storage, push notifications, and AI integration — all without provisioning a single server. Zero DevOps meant 100% focus on product.
Manual Serialization > Code Gen
Choosing manual fromJson/toJson over freezed or json_serializable eliminated build_runner from the dev loop. This reduced compile times and gave full control over serialization edge cases — a pragmatic choice for fast-moving projects.
Behavioral Design Drives Retention
The quit confirmation flow, missed day warnings, and skip friction weren't afterthoughts — they were core product decisions. Making abandonment conscious instead of passive is what separates ShipLock from yet another to-do app.
Under 30 days, from idea to production.
Architecture, Core Infra & Authentication
Feature-first architecture design, Firebase setup, Firestore collections, authentication flows, 8 initial screens
Project Creation & AI Integration
Lock-in flow, Gemini AI Finish Path generation, Firestore repositories, Focus Track logic, Riverpod providers
Dashboard, Check-Ins & Progress Tracking
Multi-track dashboard, project detail views, daily check-in, progress logging, file uploads, streak calculation
Polish, Notifications & Launch
Profile stats, Parking Lot, push notifications, completion certificates, share sheet, UI polish, testing, release
Project Stats
Production Screens
Boilerplate Reduction
Platforms Shipped
Platforms
AI Models
Need a productivity app shipped in weeks?
We build production-grade mobile apps with AI capabilities — from intelligent roadmaps to behavioral design — at startup speed. Let's talk about your project.