Perfection is a trap disguised as professionalism. "Let's polish it a bit more." "It's not quite ready." "One more iteration." These phrases feel responsible, but they're often just fear of shipping. The truth is, a shipped product teaches you more in one day than an unshipped product teaches in a month of refinement.
Speed over perfection doesn't mean sloppy work. It means knowing the difference between "good enough to learn from" and "not ready." It means understanding that version one is always wrong — and that's fine, because version two will be informed by real data instead of assumptions. The fastest path to a great product goes through a good-enough product.
"Done is better than perfect. Shipped is better than done. Learned is better than shipped."
Rapid prototyping is where this philosophy lives. AI-assisted development means a functional MVP can exist in days, not months. That changes the economics of experimentation entirely. When building is cheap, you can test ideas that would never survive a business case review. Some of those ideas turn out to be the best ones.
The hard part is cultural. Organizations optimize for certainty — detailed specs, extensive testing, multiple approval layers. These controls have value, but they also have cost. The question is always: what's the cost of being slow versus the cost of being wrong? In most product decisions, being slow is more expensive.
In Practice
- — Ship v1 within the first week. Everything before that is assumption — everything after is data.
- — Use AI-assisted development to compress prototype cycles from weeks to days.
- — Iterate in the open — share work-in-progress with stakeholders early and often.