Lesson 3 of 6
The prototyping trap
6 min read
The demo got a standing ovation. Six months later it still hasn't shipped. What happened between the applause and production?
The demo-to-production gap
A convincing AI demo is easy — pick a few good inputs, and any modern model looks brilliant. Production is another animal: the messy long tail of real inputs, edge cases, latency, cost, and the errors that only surface at scale. By some industry estimates, only about half of AI prototypes ever reach production — the gap between "it worked in the demo" and "it works for everyone" is where most projects quietly die.
A demo proves the idea can work on good inputs. Production proves it works on all inputs. The distance between them is the real project.
Innovation theater
When teams build demos to look innovative rather than to ship value, that's innovation theater. The tells: a roadmap of demos with no path to production, no owner, and no metric that would tell you it worked. Impressive on stage, invisible in the product.
"The demo works" is not a milestone. Scope to production from day one: name the metric that defines success, the owner, and the smallest slice you can actually ship — before you build the demo.
The shape of it
- —Demos are easy; the long tail of real inputs is where AI breaks.
- —Innovation theater builds demos to look innovative, not to ship value.
- —Scope to production from day one: a metric, an owner, a shippable slice.
A team keeps shipping slick AI demos, but nothing reaches customers. What's the missing piece?
Continue in the app
Take the whole Discovering & Scoping AI Opportunities course — tracked
Get your personalized path, progress and streaks in the app — this lesson and every next one, in order.