Overview
Working on multiple AI-enabled projects,I will share my process and insights into how I leverage AI into building digital products, which I hope to launch.
My tech stack and high level use case
- Figma to ideate and design screens
- ChatGPT 5.2 as a general technical design partner
- Claude to code (via Co-Pilot in Visual Studio Code)
- Wordpress and Local to test and launch websites
- Supabase for databases
- Vercel for deployment
- n8n for automation
- Github to store, share, and work with others
High-level process
- Discovery – researching and defining users, product, ideas, and prototype screens
- Quick prototyping – building libraries, user flow screens on Figma
- Building with AI – documentation, defining components, building first flow
- Test and iterate – with defined components, it’s much easier to adjust designs built via AI
- Beta test
Skills acquired / learning
- Research (early-user surveys, identifying problems to solve, etc.)
- Designing branding kits and component libraries to scale builds
- Stakeholder collaboration and hand-overs (with partners and software devs)
- High-level understanding of documentation and files (README, environment variables, system prompts, file trees etc.)
- Efficient prompt engineering