
My AI Website Stack in 2026: How I Actually Build Websites With AI
My practical AI website stack in 2026: ChatGPT, v0, Cursor, GitHub, Supabase, and Vercel — what each tool does and how they work together from idea to launch.
Real workflows for using AI to build modern websites and grow them with SEO — documented from projects I have actually built, broken, fixed, and shipped.
Start here
Three connected tracks cover the workbench as it exists today — from better AI workflows to real website builds and the SEO work that follows launch.
Use AI more effectively through practical workflows, honest experiments, and lessons from real work.
Build and ship modern websites with tools like Cursor, v0, GitHub, Supabase, and Vercel.
Help useful websites get found through technical SEO, Search Console, content, and post-launch checks.
Featured practical guides
A quick path through the core of the workbench: the AI-assisted stack, real backend decisions, a better coding workflow, and what to check after launch.

My practical AI website stack in 2026: ChatGPT, v0, Cursor, GitHub, Supabase, and Vercel — what each tool does and how they work together from idea to launch.

Why I chose Supabase for a real web app with authentication, approval, roles, Row Level Security, and structured backend data.

A practical Cursor workflow for real website projects: define the problem, make smaller edits, review changes, test, and use GitHub as a safety net.
A practical post-launch SEO checklist based on real website work: indexing, search intent, Search Console queries, internal links, content quality, and when to wait.
Free practical resources
The blog explains what I learned. These resources turn those lessons into something you can use immediately.
Copy-ready prompts for writing, research, planning, website work, coding, and business.
A practical review covering indexing, on-page content, technical quality, local search, and measurement.
A step-by-step final review for planning, building, launching, and improving an AI-assisted website.
About AI Workbench Lab
The value here comes from real project work: using AI, building websites, solving deployment and backend problems, then measuring what happens in search.

Behind the workbench
From missionary work in Cambodia to business and now learning AI, my path has never been the usual one. I started AI Workbench Lab to keep an honest record of what I learn — the tools, the experiments, and the real results. If someone like me can start, so can you.