August 25, 2026

A recorded demo shows one run. For most software that is fine, because the next run does the same thing. For a feature built on a model, it is not: the same input produces a different, sometimes worse, output.
That gap between the demo and the product is a real risk, and it is manageable if you are deliberate about it.
The temptation is to run it until the output is excellent and record that. It sets an expectation the product will not meet, and the customer finds out in their first session rather than never.
Record a representative run — good, not exceptional. A demo that undersells slightly is a customer who is pleased; one that oversells is a refund.
Every buyer of an AI feature is asking this and most demos avoid it. Showing the correction path — editing the output, rejecting it, giving feedback — answers the objection rather than leaving it to form in silence.
It also differentiates you. Nearly everyone demos the happy path, so the vendor who shows the unhappy one reads as the one who has thought about it.
One line: "Output varies between runs — this is a typical result." That single sentence converts a possible accusation of misleading into a demonstrated understanding of your own product.
It costs nothing and it is the difference between a customer who expected variation and one who feels sold to.
Click through it — the same kind of demo you can record of your own product.
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