Summary
The debrief centered on turning a day of AI demonstrations and discussions into practical reflection: what participants learned, what they still feared, and how they might apply the ideas back at work. The session opened with a brief handoff from a prior Q&A, including mention that deeper technical questions—such as connecting AI “pals” to a company environment through an API—could be explored outside the main presentation. The facilitator then shifted the room into reflection, reminding attendees that the morning’s expectations included curiosity, a desire to understand where the field is heading, and a need to internalize what AI means for individual roles, teams, and organizations. Participants were invited to share the notes, exclamation marks, changed perspectives, and questions they would carry forward.
Key Topics
5 key topics from this session at Scriptorium Initiative Conference 2026. Thicker branches were mentioned more often in the talk.
Key Takeaways
- Test AI tools hands-on before defining team use cases.
- Protect time for craft, iteration, and learning-by-doing.
- Question AI outputs for bias, context, and quality gaps.
- Use AI conversations where stigma blocks human disclosure.
- Teach critical thinking alongside creative AI experimentation.
“the only way you're gonna keep up is just by experimenting and and getting your hands dirty”