Practical AI workflow design with Google Gemini Gems and NotebookLM: repeatable content checks, accessible team knowledge, and human judgment at every important decision.
How our Verizon team uses Google Gemini Gems for content review and NotebookLM for shared knowledge—with human oversight built into the workflow.
Explore the Featured Conversation
A practical approach to organizing project knowledge in Google NotebookLM, so teams can find context, ask better questions, and check the source.
Explore the Approach
A practical approach to repeatable content checks with Google Gemini Gems, with clear review criteria and people responsible for the final decision.
Explore the ApproachGemini image supplied by Diana. NotebookLM example published in Bowen Craggs’ feature by Sophia Lechner (opens in a new tab). Explore the related perspectives on knowledge design and human review.
Practice updating a blog post with AI. Choose what to share, check the draft, and keep the publishing decision in your hands.
Start the Free LessonFree · About 10 minutes · No sign-in
I’m a no-code AI agent expert and AI educator, helping beginners and professionals work more safely and confidently with AI.
My practice includes no-code AI agent workflows, automation, and tools such as Google Gemini Gems, NotebookLM, ChatGPT, Claude, Microsoft Copilot, and Zapier. I bring enterprise UX experience to the task: define the audience, organize the inputs, design the handoff, and evaluate what people can actually use.
More About My BackgroundLook for recurring tasks, information gaps, and places where better support could help a person do their job.
Clear instructions, useful context, and approachable workflows matter as much as the underlying tool.
Check outputs, consider information sensitivity, and keep meaningful decisions with the people responsible for them.
It’s the question that connects my work in UX, automation, and education.
Contact DianaUX leadership, practical AI, and thoughtful digital experiences.
