The most impressive AI demo you have ever given told you almost nothing about whether it would actually work.
That is uncomfortable, because the demo is the thing that got the room excited and the budget approved. But a pilot is judged on a single impressive run. Production is judged on the thousandth unremarkable one.
A demo is a curated event. Someone picks the input, polishes the prompt, and runs it until it shines. That tells you the ceiling of what is possible in perfect conditions, which is genuinely interesting and almost useless for predicting daily value.
Daily value comes from the floor, not the ceiling. It is what happens when a tired engineer on a Friday reaches for the tool on a messy, real ticket. If that interaction is smooth enough to repeat without thinking, it compounds. If it needs the demo conditions to work, it gets abandoned the first busy week. Which is every week.
So I stopped asking "how impressed was the room" and started tracking the things that actually accumulate:
- Throughput - how much the team ships per cycle, not how fast one task went once.
- Cycle time - averaged across real tickets, including the ugly ones.
- Default usage - what fraction of eligible work touches the tool without anyone being reminded.
Notice what is missing from that list: the wow factor. "How impressed was the room" feels like progress and predicts nothing about month three. It is a vanity metric wearing a nice suit.
A single spike looks bigger in the moment. The broad, steady area of many boring daily uses is what compounds, and it ends up ahead of the demo that peaked once and went flat.
The full argument, including why the exact skills that win a demo are the ones that never generalize to real work, is here: https://mederic.me/blog/unremarkable-workflow
So, honest question: think about the last AI tool your team actually kept using. Was it the demo that sold it, or some boring Tuesday when a teammate reached for it without being told to? Which one made it stick?
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