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Capstone: Mock Loop1 / 2

2 min lesson

Objection handling - your top three, scripted

Work through this case: "In Demo A for the skeptical principals, why is deliberately rejecting a weak Agent suggestion a stronger move than running a flawless, fully-accepted demo?" Say what you would do and why.

Step 1 of 2

Objection handling - your top three, scripted

“AI writes bad code.”

“Agreed it can - so we keep your review and tests as the gate. Watch me reject a bad suggestion. The win is a faster path to code that passes your bar, not lower standards.”

“Security will block this.”

“Right call to ask. Privacy mode means no training on your code, most models run under zero-data-retention agreements so inputs aren't stored, and you control model routing. I'll walk the platform team through it line by line.”

“We already have Copilot.”

“And usage is low - that's the signal. The pilot measures whether Cursor changes behavior on your real pain. Cheap to learn and you keep what works.”

Live-demo failure recovery

Demos break. The network drops, the model stalls, a test fails for a dumb reason. Your move is rehearsed calm: name it plainly (“that's a flaky test, not the change - here's the passing run I have”), keep narrating the workflow and fall back to a recorded clip or a pre-built branch. Recovering gracefully reads as competence; panicking reads as a script you didn't understand. Never blame the tool you're selling.

Interview move

When Cursor's loop puts you in a mock demo, say which audience you're playing to before you start and why your choices change for it. Explicitly switching register from principal to CTO mid-exercise shows the cross-audience range the role is built on.

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Full explanation

Self-grade: tailoring, command, storytelling

Self-grade: tailoring, command, storytelling

  • Tailoring: did each demo use Northwind's actual discovery facts or did it drift into a generic feature tour?
  • Command: did you drive Agent/Tab/Rules live and fluently, including rejecting a bad suggestion on purpose?
  • Storytelling: did each demo open on the audience's pain and close on their named outcome, with one clean narrative thread?
  • Recovery: do you have a concrete fallback ready before anything breaks?