Building ClearCrew: AI-Powered Workforce Management
How I built a mobile app combining workforce scheduling with AI compliance assistance.
When a local service business owner complained about scheduling chaos — lost paper schedules, no-shows, and manual routing — I saw an opportunity. Six months later, ClearCrew App was handling 500+ workers with an unexpected addition: an AI-powered compliance assistant.
The Problem
Running a service business sounds simple until you think about logistics:
50+ employees with different skills, availability, and locations 100+ jobs per week scattered across a county Constant changes — cancellations, add-ons, rainouts Regulatory compliance that required hours of research
The owner was spending 20+ hours weekly just on scheduling and compliance questions.
Building the Solution
I approached this as a mobile-first problem. Field workers needed information on the go.
Tech Stack
Next.js + TypeScript for the frontend and API Supabase for database, authentication, and real-time updates Tailwind CSS for clean, responsive styling OpenAI API for AI-powered compliance Q&A
Key Features
1. Smart Scheduling — Drag-and-drop interface that respects worker skills and location 2. Route Optimization — Minimize drive time between jobs 3. Offline Mode — Critical for areas with poor cell service 4. AI Compliance Assistant — Ask compliance questions, get answers backed by regulations
Technical Approach
Supabase for the Win
Using Supabase meant I didn't need to build: A separate auth system (Supabase Auth) File storage (Supabase Storage) Real-time subscriptions (Supabase Realtime) Backend API from scratch (Next.js API Routes)
RAG Architecture for Compliance AI
I built a RAG (Retrieval-Augmented Generation) system for compliance:
1. Ingest regulatory documents into Supabase with vector embeddings 2. When users ask questions, find relevant passages using pgvector 3. Generate answers backed by official regulations
This kept AI responses grounded in source material.
Offline-First Architecture
Field workers can't rely on constant connectivity. I used Next.js offline capabilities with local data caching.
Results
40% reduction in scheduling time 60% reduction in compliance research time 60% fewer no-shows 500+ active users
ClearCrew proved that combining practical workforce management with AI assistance transforms small business operations.
What I Learned
1. Supabase + Next.js is a powerful combo — fast development, reliable infrastructure 2. AI needs guardrails — confidence thresholds prevent confidently wrong answers 3. Offline-first matters — field workers can't always rely on connectivity
Sometimes the best solution combines the familiar (Next.js) with the modern (AI).