The demo is impressive. The output is clean. Early users say "wow." Then they go back to doing it the old way.
This is one of the common patterns I see in AI tools right now — the build is undeniably good, and the adoption is undeniably close to zero. The team assumes the two are connected: if it works, people should use it. They don't. So the team adds features, improves the output quality, ships integrations.
Still nothing.
The Product and the Workflow Are Different Things
An AI tool that produces good output has solved the production problem. It has not solved the adoption problem. Those are different problems that look identical from the dashboard.
