Host sharing sessions on AI use cases.
Everyone using AI is using it differently. People on your team and on other teams have already solved problems that frustrate someone else today. Others have discovered new ways to use AI. Often the person who solved a problem does not even realize they have something worth sharing. One great way to learn is from each other.
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How to run it
Host a regular brown-bag lunch or virtual meeting for people to share how they are using AI. Invite widely, including people outside your team. Make clear that nobody needs a polished presentation or a dramatic breakthrough.
Find two or three people to share first and get the conversation going. Ask about a small annoyance they solved, a shortcut they now take for granted or a new use they explored. Someone who says “I haven’t done anything special” may have exactly the example others need.
At the session, have each person show the problem, what they did with AI and what happened. Give others room to ask questions, compare approaches and try the idea in their own work. Often the smallest solutions have the greatest impact on someone else.
Keep the sessions going at a regular interval that suits the group. Invite new people to share as examples emerge. If useful, let this grow into an intranet sharing board where people can leave the problem they solved, a short explanation or example, and any skill or tool others can reuse. The board can grow out of the conversations; you do not need it to hold the first session.
How it goes
What the AI will do
- No AI prompt is needed. People demonstrate and share their own uses of AI.
What to have ready
- A time and place to meet, a broad invitation and two or three people willing to share first.
Where you come in
- Host the session and make small, everyday solutions welcome.
- Keep meeting regularly; add an intranet sharing board if it becomes useful.
What you'll get
A recurring way for people to discover and reuse what colleagues have learned about AI.
You're done when
You have held a sharing session, participants have seen approaches they can use, and the next session is on the calendar.
View full AI instructions
Host sharing sessions on AI use cases.
Everyone using AI is using it differently. People on your team and on other teams have already solved problems that frustrate someone else today. Others have discovered new ways to use AI. Often the person who solved a problem does not even realize they have something worth sharing. One great way to learn is from each other.
Step 1 — For the user
Host a regular brown-bag lunch or virtual meeting for people to share how they are using AI. Invite widely, including people outside your team. Make clear that nobody needs a polished presentation or a dramatic breakthrough.
Step 2 — For the user
Find two or three people to share first and get the conversation going. Ask about a small annoyance they solved, a shortcut they now take for granted or a new use they explored. Someone who says “I haven’t done anything special” may have exactly the example others need.
Step 3 — For the user
At the session, have each person show the problem, what they did with AI and what happened. Give others room to ask questions, compare approaches and try the idea in their own work. Often the smallest solutions have the greatest impact on someone else.
Step 4 — For the user
Keep the sessions going at a regular interval that suits the group. Invite new people to share as examples emerge. If useful, let this grow into an intranet sharing board where people can leave the problem they solved, a short explanation or example, and any skill or tool others can reuse. The board can grow out of the conversations; you do not need it to hold the first session.
Done when
You have held a sharing session, participants have seen approaches they can use, and the next session is on the calendar.
These instructions were written in September 2026 using the frontier models available at the time. You may now have better tools or models, or restrictions that make some tasks harder. Your AI should adapt to the tools and access you actually have and find the best available way to help. Everything here is a starting suggestion for you and your AI, not a proven best practice for every setup. Feel free to rewrite any of it to better meet your needs.
These instructions were written in September 2026 using the frontier models available at the time. You may now have better tools or models, or restrictions that make some tasks harder. Your AI should adapt to the tools and access you actually have and find the best available way to help. Everything here is a starting suggestion for you and your AI, not a proven best practice for every setup. Feel free to rewrite any of it to better meet your needs.