The story behind my AI Site Editor
Why I started this project, what I got wrong early, and what finally made it useful.
- AI
- Editor
- Product
- Founder Notes
Why I Started
I kept seeing the same problem: people wanted to change a website quickly, but the path from idea to implementation was still too technical.
I wanted an editor where someone could describe intent in plain language and still get predictable, structured results.
What I Got Wrong First
My first versions optimized for the “wow” moment. They looked smart in demos but failed in real usage.
Free-form AI output created inconsistent edits, and trust dropped fast when users could not predict what would happen next.
What Changed
I moved from raw generation to structured actions. Instead of asking the model to rewrite everything, I started translating intent into bounded operations.
That shift made the editor feel less magical for five minutes, but far more reliable over weeks.
What I Care About Now
I treat the AI as a collaborator, not the source of truth. Every meaningful change should be inspectable, reversible, and safe to apply.
For me, that is the real bar: not just impressive output, but a product people can trust while building real sites.