The audio and article below are examples of the powerful collaboration possible between humans and AI. In a matter of hours, I crafted both using NotebookLM, synthesizing insights from Regenerous Labs’ training documents, "The Insider's Guide to Innovation at Microsoft," and additional sources on emergent strategy, adaptive thinking, design and systems thinking, and behavior science (see source notes below). It wasn't a one-click process but a true iterative co-creation: I provided initial content and engaged in multiple rounds of questions to find additional sources and refine it further. NotebookLM generated the foundational draft, which I edited and exported. Then, my custom GPT (via OpenAI) refined it to align with my personal brand and voice, after which I finalized the editing and polishing.
NotebookLM’s "Audio Deep Dive," was unexpected but, I think, very valuable. What I like about it is that it’s not just a simple reading of the article we wrote. The “discussion” compliments the article and adds new insights. I was genuinely surprised by the output.
Beyond article summaries, there's a deeper innovation use case: For another project, I leveraged this audio feature to summarize several weeks of detailed research, ideas, and visuals I had organized on a Miro board. The resulting audio summary gave my teammates an easy catch-up to my current thinking—one even listened during his commute. And all responded with excitement about the concept!
This burst of enthusiasm is exactly what the B2Me framework (Pattern #3 in the book) identifies as critical to gaining buy-in and moving towards adoption.
I also hypothesize that having the concept presented by someone other than me (AI, in this case) might have amplified its impact—though that's TBD.
I'm curious—how are you experimenting with AI in your own work? How might these tools shape the way we think, communicate, and innovate together? Let's discuss!
Note: I also frequently use Claude, Perplexity, and several other AI tools. For content generation, this particular combination currently works best for me. However, tools evolve regularly, so my approach evolves too. I only recently started using NotebookLM. And remember that not all AI tools excel at everything—for instance, GPT cannot do math. Don’t trust it.
Six Tools for Thriving in Change
Training Overview - written by JoAnn, NotebookLM, and JoAnn’s customGPT
In today's dynamic and unpredictable world, traditional, rigid strategic plans often lead to missteps and missed opportunities. To thrive amid uncertainty, you need practical tools and insights into how to apply them effectively. Our 90-minute virtual training, based on six essential tools from "The Insider's Guide to Innovation at Microsoft," is designed to provide exactly that.
In this concise and interactive session, we'll spend 90 minutes demonstrating and discussing how each tool directly addresses the challenges you face daily, whether you're navigating organizational change, adapting to market disruptions, or guiding teams toward meaningful innovation.
Here's how each tool can benefit you and your team:
1. Diverge, Converge, Synthesize
Your Challenge: Change isn't neatly planned—it's emergent. Teams often converge too quickly, missing opportunities for breakthroughs.
Your Benefit: Learn how this disciplined yet flexible process of exploration, alignment, and synthesis helps consistently identify breakthrough opportunities.
2. BXT (Lead with X)
Your Challenge: Business-first or tech-driven models often fail to truly meet your users’ needs, leaving solutions disconnected from reality.
Your Benefit: Understand how leading with user Experience (X) simplifies decision-making and aligns your solutions with genuine customer value.
3. Assumption Mapping
Your Challenge: Initiatives fail when based on untested assumptions. Asking “will it work?” instead of “what’s our next experiment?” creates unnecessary risk.
Your Benefit: Discover how to make hidden bets visible and systematically test your hypotheses, enabling proactive adaptation to uncertainty.
4. Double-Loop Learning
Your Challenge: Focusing solely on doing things right without questioning underlying assumptions can trap you in rigid, outdated methods.
Your Benefit: Learn to regularly question underlying assumptions, guiding your organization to quickly adjust strategies and maintain adaptability.
5. Aim for Positive
Your Challenge: Traditional innovation often yields incremental, "less bad" outcomes, limiting your impact to small gains.
Your Benefit: Explore how shifting your mindset from "less bad" to "more good" drives regenerative innovation, yielding systemic impacts.
6. Innovate with Everyone
Your Challenge: When innovation is confined to a few, diverse perspectives and critical insights are often missed.
Your Benefit: See how fostering cross-functional collaboration taps collective intelligence, builds trust, and creates robust, widely adopted innovations.
Through this focused virtual training, you and your team will move beyond static planning to confidently embrace uncertainty, design collaboratively, learn continuously, and lead with purpose. You'll leave with clear insights and actionable knowledge on how to innovate successfully, no matter what challenges the future holds.
Additional Sources:
Note: The Training Course is a real offering from Regenerous Labs. If you’d like more information, reach out: joann@regenerouslabs.com
Share this post