No Coding Skills, Live in One Day — Why Claude Design + Claude Code Made It Possible
When I decided to build the AI Content Assistant MVP for small business owners, my first thought was: “where will I get stuck?”
I can’t write code. The gap between design and development has always been the bottleneck. Even when I had a prototype, turning it into working screens took the most time.
Today was different.
AI Closed the Gap Between Design and Development
I designed the screens in Claude Design, then pressed “Handoff to Claude Code.” Onboarding, input, loading, results, editing, templates — 8 screens of working code generated automatically. There was nothing left for me to do in between. AI filled that gap.
For non-developers, the real value isn’t “AI writes the code for you.” It’s “AI removes the gap between design and development.” Those are different things.
Keep Infrastructure Simple — Start at Zero Cost
I bundled deployment on Cloudflare. Pages (frontend) + Worker (API), automated with GitHub Actions. One git push, and the live service updates in 23 seconds. Current cost: ₩0.
There’s no reason to start complex. Start free, validate first, then think about cost structure when it’s proven.
MVP Is About Flow, Not Structure
The thing I spent the most time on was prompts. Copy for a café’s new product launch and a craft studio’s return-visit event need different tones. I spent the most time structuring prompts by business type and content goal.
The core of an MVP isn’t login, database, or payments. It’s whether the flow — input → generate → result — actually works. I decided not to add complexity for structures that might be needed later.
aicontent.chulbuji.com is live right now. The next step is getting 5 real small business owners to use it. A feature no one uses isn’t finished.
Today’s build: MVP. 1 day, 8 screens, live service. That’s it.
What I built: AI Content Assistant MVP for small business owners — prompt structure by business type and goal, Cloudflare Pages/Worker pipeline
What broke: Nothing critical. The challenge was prompt structure, not code.
What I learned: MVP is about flow, not structure. And removing the design-to-development gap is far more practical than “AI writes code for you.”