When I started building V3 Studio, I assumed users would want more control, more configuration, and increasingly smarter AI. After watching how real users actually used the product, I realized those assumptions were wrong.
The Assumptions That Didn’t Hold Up
“Users want more AI”
In reality, users cared far more about outcomes than how advanced the AI was.
“Customization is a must-have”
Most early users preferred templates that just worked.
“Quality beats speed”
For short-form content, speed almost always won.
The Core Insight
People don’t want to think about prompts, models, styles, or settings. They want to click a button and get something usable.
How This Changed the Roadmap
Opinionated defaults over blank canvases
Autopilot, end-to-end workflows
Templates covering 80–90% of use cases
Customization hidden behind “advanced” paths
Focus on speed, not perfection
When Does Customization Actually Matter?
From what I’ve observed, customization starts to matter only after:
- Users trust the default output
- They’ve shipped content successfully
- They understand what “good” looks like
- They want to optimize, not explore
Advice for Builders
If you’re building an AI or creative tool:
- Watch what users do, not what they say
- Default paths matter more than edge cases
- Reduce choices aggressively early on
- Earn the right to add complexity later
Building V3 Studio With These Principles
V3 Studio is being built around speed, opinionated defaults, and end-to-end automation — not feature overload.
Try V3 Studio