Shane Gibson: The Art of Asking Questions

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"I thought, what if I could talk to myself as an AI agent, or as a second brain?"

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Thursday October 29, 2026 · 10:10 AM · Talk

Key ideas from the talk

Large language models are a commodity. His advantage comes from his own organized data, processes, judgment and relationships.
Great listeners listen about 70 percent of the time and ask questions about 30 percent.
Conversations start with easy open questions and move to focused and then personal ones. A good question asked too early shuts people down.
His blind-spot example is shadow AI. Staff use outside tools, and the company's data and learning end up outside the organization.
To find the real goal, he asks what the first answer means. A goal of cutting attrition from 20 percent to 10 percent leads to questions about money and culture.
His discovery agent scores each sales or coaching call on 11 criteria and writes 12 questions he should have asked.
"Shane Brain" is built from his values assessments, EQ test, personal rules and a knowledge log. In the Q&A he said he has not given it to his team, because the stored values and traumas could be used to manipulate him.

"I believe that AI is no longer the advantage; that we all have access to it to a large degree."
"You ever notice that the less you know about a subject, the smarter AI sounds?"
"The human in the loop is not a bug. It's a feature of any great AI-based operating system."
"Deepening our rapport and relationship with another person has more to do with the questions we ask than the stories and opinions we share."
"Most people don't listen; they just wait for their turn to talk."
"You move from being a product peddler or a pitch artist ... to a trusted advisor, because you created a learning opportunity."
"Conversation powers AI. It's the growth fuel."