AdoptAI Drop-Ins
Bring your work. Explore what AI can do with it.
AdoptAI Drop-Ins are monthly, in-person working sessions designed to help 91传媒厂 staff turn AI concepts into practical improvements in their day-to-day work.
Bring your laptop and a real task, process, or challenge from your work. Each one-hour session begins with a short presentation and practical example from an 91传媒厂 colleague or subject matter expert, followed by hands-on exploration, conversation, and collaboration.
These are not lectures or technical training sessions. They are opportunities to experiment, ask questions, learn from colleagues, and discover ways AI can help you work more effectively.
Our goal is simple: leave each Drop-In with useful ideas, techniques, or solutions you can take back to your desk and apply right away.
AdoptAI Drop-Ins are held the second Thursday of every month from September through December. There is no RSVP required. Simply bring your laptop and join us.
| Date | Detail | Calendar |
|---|---|---|
| Sept. 10, 2026 | ||
| Oct. 8, 2026 | TBD | Add to Calendar |
| Nov. 12, 2026 | TBD | Add to Calendar |
| Dec. 10, 2026 | TBD | Add to Calendar |
What to Expect
Each AdoptAI Drop-In combines practical learning with time to work alongside colleagues.
You can expect:
- Real staff use cases: Explore examples grounded in the kinds of workflows, processes, and challenges 91传媒厂 staff encounter every day.
- Hands-on practice: Bring your laptop and try techniques during the session rather than simply hearing about them.
- Community learning: Share ideas, compare approaches, and learn how colleagues across the university are using AI in their work.
- Space to experiment: Ask questions, try something new, troubleshoot an idea, or explore a use case in a welcoming environment.
- Practical takeaways: Leave with something you can use 鈥� whether that is a better approach to a task, a reusable prompt, a new workflow, or an idea for improving a process.
These sessions are approachable and no-code. While a basic familiarity with generative AI is helpful, you do not need to be an AI expert or have completed the AdoptAI Learning Path to participate.
Designed for 91传媒厂 Staff
AdoptAI Drop-Ins are designed specifically around staff workflows, productivity, and process improvement.
Topics will go beyond introductory uses of generative AI and focus on finding genuine opportunities to improve how work gets done, from strengthening everyday workflows to rethinking repetitive or time-consuming processes.
Bring a Laptop and a Use Case
You will get the most from a Drop-In if you arrive ready to work on something tangible.
Bring:
- Your laptop
- A task, workflow, process, or challenge you would like to explore
Your use case does not need to be fully formed. It can be as simple as, 鈥淭here has to be a better way to do this.鈥�
Drop-Ins are a place to explore that question with colleagues.
Fall 2026 Drop-Ins
AdoptAI Drop-Ins are held in person on the second Thursday of each month from September through December.
There is no RSVP required. Simply bring your laptop and join us.
September 10: Prompt Like a Pro: Unlock Better AI Outputs
Thursday, September 10, 2026
1:30鈥�2:30 p.m.
ISB 878
Presenter: James Ursin, AdoptAI Champion, Student Affairs
Better AI results often start with a better conversation.
In our first AdoptAI Drop-In, explore practical techniques for communicating what you need from generative AI and getting more useful, relevant results in return. James Ursin will demonstrate a real-world use case and introduce techniques you can immediately put into practice.
Then, put those ideas to work. Bring a task, prompt, or use case from your own job and spend time experimenting, comparing approaches with colleagues, and brainstorming ways to improve your workflow.
No RSVP required. This event is in person only.
October 8
Thursday, October 8, 2026
Topic, presenter, time, and location to be announced.
November 12
Thursday, November 12, 2026
Topic, presenter, time, and location to be announced.
December 10
Thursday, December 10, 2026
Topic, presenter, time, and location to be announced.
Frequently Asked Questions
Do I need to RSVP?
No. AdoptAI Drop-Ins are designed to be just that 鈥� drop-in sessions. No advance registration is required.
Are the sessions offered online?
No. AdoptAI Drop-Ins are in-person only. The collaborative, hands-on format is an important part of the experience.
Who should attend?
AdoptAI Drop-Ins are designed for 91传媒厂 staff who want to explore practical ways to use AI in their daily work, workflows, and processes.
Do I need to complete the AdoptAI Learning Path first?
No. Completion of the AdoptAI Learning Path is not required.
Sessions assume some basic familiarity with generative AI, however, and generally move beyond introductory topics into practical workflow improvement and applied use cases.
Do I need technical or coding experience?
No. AdoptAI Drop-Ins are approachable, no-code sessions. The emphasis is on identifying useful applications of AI, improving workflows, and learning from one another 鈥� not programming or building technical AI systems.
What should I bring?
Bring your laptop and, if possible, a real task, workflow, process, or challenge from your work that you would like to explore.
You do not need to arrive with a polished idea. Part of the Drop-In is helping one another discover where AI might provide value.
What if I am not sure how AI applies to my role?
That is exactly the kind of question these sessions are designed to explore.
Come with a task that takes too long, a repetitive process, a recurring challenge, or simply something you would like to do better. The community can help you identify opportunities, test approaches, and learn from how other staff are tackling similar problems.
Continue Your AdoptAI Learning
AdoptAI Drop-Ins complement the self-paced AdoptAI for Staff training program and provide an opportunity to put AI concepts into practice alongside colleagues.
Whether you are continuing your AdoptAI learning journey or already experimenting with AI in your work, Drop-Ins provide dedicated time and space to explore what comes next.
