Case study
Faultrix
An AI-powered construction quality-control SaaS built solo from zero to production.
Problem
Turn research habits into a practical product that saves inspectors time and produces credible reports.
Role
Founder and full-stack builder across product, UX, AI workflow, and deployment.
Product preview
Screenshot placeholder until public product visuals are ready.
Approach
- Design a tight upload-to-report workflow around real construction use cases.
- Use OpenAI-powered analysis with structured outputs and evidence handling.
- Build the platform with Next.js, Convex, Clerk, Cloudflare R2, Stripe, Docker, and Python-heavy AI services.
Results
- Report generation in under 1 minute.
- A solo-built AI SaaS moved from idea to production in five months.
- The product became a concrete bridge between research discipline and commercial execution.
Lessons
- UX can matter more than model sophistication.
- Compliance and evidence handling shape trust.
- Shipping product means optimizing the path to value, not just the model output.