AI

The demo gets shared. The second answer decides whether they stay.

Nobody leaves because the model was wrong once. They leave because when it was wrong there was nowhere to go, and no way to tell how it got there.

What we find

The demo is astonishing and retention isn't.

  • Users can't tell what it did, or why it did that.
  • When it's wrong there's nowhere for anyone to go.
  • You added a chat box because everyone added a chat box.
  • Buyers ask about control and there's no answer on screen.

What you get

Show the work. Handle being wrong.

We watch people hit a bad answer, because that moment decides everything after it. Then we design what the system shows about its reasoning, how confidence is expressed without an invented percentage, and what a person does in one action when it gets it wrong.

  • Design an interaction model that isn't just a chat box
  • Show sources and reasoning without the theater
  • Express confidence honestly, with no invented percentages
  • Give people one action to take when it's wrong
  • Design latency, streaming and refusal states on purpose
  • Put human approval and override where a buyer can see it

How it runs

Find the trust gap, show the work, design the recovery, make control visible.

  1. Find the trust gap

    Usually the first wrong answer, and what happened next.

  2. Show the work

    Sources, reasoning and limits, without the theater.

  3. Design the recovery

    One action, not a support ticket.

  4. Make control visible

    Because the buyer is going to ask.