Module 0: A Purposeful Approach in LEADING AI
An Introduction to the LEADING AI Learning Program
Session Overview
Theme: Modeling Generati — the system itself is the content.
Format: Live & Recorded Call Duration: 45 minutes
- Welcome (2 min),
- Content (20 min, Heygen avatar + slides),
- Debrief / Response (20 min),
- Takeaways & Close (3 min),
Welcome Script (2 min)
Welcome everyone. This is Module 0: A Purposeful Approach in LEADING AI.
The purpose of this session is to show… that the way we run the program… is itself a model of generative design.
Please notice both the content and the mechanics of how we deliver, record, and repurpose this session—and help us improve
the system which belongs to all of us.
Since this is the opening session for our LEADING AI program where I intend to provide you with why I wrote the book and why I am motivated to do my own legacy work now… in this way:
I wanted to share something special with those of you who are here live and accessing our behind-the-scenes live session in a recording… with an interesting set of ideas that are present in the “background” of A LEADING AI MOVEMENT… JUST to try it out in this inner circle.
IMHO… Essentially there are three relatively non-descript books that have formed in the last century to indicate where we are today. My guess that AI pretraining in all frontier models contains these three books 1) 1928: Propaganda by Edward Bernays… 1951: 2) The True Believer by Eric Hoffer… 1971: 3) Rules for Radicals by Saul Alinsky
Before we dive in, let’s take a look at one very important book that no one knows about called The True Believer:
Before we dive in, let’s take a look at one very important book that no one knows about called : The True Believer —
Wikipedia overview.
The True Believer: Overview
The True Believer: Thoughts on the Nature of Mass Movements is a non-fiction book authored by the American social philosopher Eric Hoffer. Published in 1951, it depicts a variety of arguments in terms of applied world history and social psychology to explain why mass movements arise to challenge the status quo. Hoffer discusses the sense of individual identity and the holding to particular ideals that can lead to extremism and fanaticism among both leaders and followers.
Core Themes The True Believer
1. The Appeal of Mass Movements
• Movements attract people who feel discontented, powerless, or alienated.
• They offer a sense of purpose, belonging, and identity.
• The cause matters less than the emotional need it fulfills.
2. The Role of Faith and Fanaticism
• True believers often replace one cause with another— it’s the structure of belief, not the content, that matters.
• Fanaticism thrives on certainty, simplicity, and an “us vs. them” worldview.
3. Stages of a Movement
Hoffer outlines a rough life cycle:
• Pre-Movement Discontent – People feel frustrated and powerless.
• Emergence of a Unifying Cause – A leader or ideology channels that frustration.
• Fanatical Phase – High energy, rigid ideology, and rapid growth.
• Institutionalization – The movement becomes structured, bureaucratic, and less radical.
4. Leadership Types
• Men of Words – Intellectuals or visionaries who articulate the cause.
• Fanatics – Zealous organizers who drive early momentum.
• Practical Men – Administrators who stabilize the movement once it matures.
5. Enemies and Unity
• Movements often define themselves against a common enemy, real or imagined.
• This enemy helps maintain cohesion and urgency.
6. Sacrifice and Self-Renewal
• Members are encouraged to subordinate personal identity to the collective.
• Rituals, symbols, and shared struggles reinforce loyalty.
Heygen Narration Script:
Hi, I’m Dr. J… Mike Jay’s cloned “HeyGen” Avatar and I want to welcome you on Mike’s behalf to our Module Zero: A Purposeful Approach In LEADING AI.
In this opening module, we’re not only beginning our journey into Leading AI, but we’re also modeling the very principles the program is designed to teach.
A LEADING AI Movement
Before we dive into the mechanics of how this program will run, let me frame the bigger picture.
This is not just a learning series; it’s part of the LEADING AI Movement—a movement to prepare leaders, organizations, and communities for a future where intelligence—human and artificial—accelerates faster than the systems we have to manage it.
Over the course of this program, you’ll learn:
- Experience the foundation of LEADING AI and lay the groundwork for COACHING AI.
- How to lead AI instead of being led by it.
- How to apply AGI² (Aware Generative Inquiry) × AGI (Artificial General Intelligence) to decisions in complex, fast-changing contexts.
- How to align self-knowledge, purpose, and concurrency with AI to stay relevant now, near, and far—while meeting people where they are.
Each module builds toward this bigger purpose. And as you’ll see today, the way we deliver this program is itself part of the content: a model of Generati which demonstrate systems that multiply value rather than consume it.”
This session is called… Module 0: A Purposeful Approach In LEADING AI.
The name signals that what we’re doing here isn’t just content delivery. The session itself is a model.
The way this program is structured is part of what you’re meant to learn.
Why start this way?
Because LEADING AI is about more than ideas.
It’s about generative design at all levels.
It’s about creating systems that multiply value… rather than consume it.
And the best way to experience that is to see it in action.
Here’s the structure we will start with… & adapt each module… On Purpose:
1. Design generatively. Create the space centering everything according to a design flow which recurses on itself with feedback for fast recalibration.
2. Schedule. You get calendar invites, reminders, and easy access links — clear across time zones.
3. Prepare. Behind the scenes, scripts are finalized, slides are prepped, and preview prompts may be posted to spark reflection.
4. Deliver. We meet live for 45 minutes. This is the human center. It’s recorded locally and in the cloud. An AI-generated summary is created automatically.
5. Organize. Recordings, slides, and summaries are stored in a structured archive. They’re tagged by session number and concepts so you can find them later.
6. Derive. Using AI tools, we generate scripts and videos. A Heygen avatar creates recaps and overviews for consistency of presence. Videos are edited for pacing, visuals, and branding.
7. Distribute. Edited videos are uploaded to YouTube, links are posted in the community hub, and participants are invited to share feedback and insights.
8. Recalibrate. Based on feedback, comments, suggestions, push back and ideas, recursion and improvement is baked-in always.
9. Iterate. Feedback is collected and used to improve and guide the next session.
We want to notice which formats work best — recaps, summaries, or full recordings — and feed that learning back into the design… and recalibrate.
Why is this not just administration, but part of what you’re learning?
Scalable Presence: One live effort produces multiple downstream assets — archives, recaps, videos, and summaries.
Multimodal Learning: Each of us tends to learn differently. Some prefer to hear, some read; some watch, some experiential is best.
Curation & Continuity: By cataloguing and tagging, we build a library of assets. This becomes a long-term resource, not a one-time event, but an emergent legacy.
Monetization Pathways: The same system supports free public content… monetizable on YouTube, while also providing paid access to archives, and premium live engagement.
Generativity: The system produces more than the sum of its parts. Every session creates new assets, insights, and opportunities for use and reuse.
As a participant, you’re not just here to absorb information.
1. You’re also here to notice the system itself… purposefully, we have designed in metasystematic models.
2. Watch how every session multiplies. Notice how your own feedback helps steer the design.
3. Recognize how the structure embodies a concept of Generati… purposeful generativity.
4. Step back… take a different perspective… be purposeful… evolve.
So, welcome to Module 0: A Purposeful Approach In LEADING AI
You’re stepping into a learning program and also into… a live demonstration of generative design.
Every part of this loop: design → schedule → prepare → deliver → organize → produce → distribute → recalibrate → and iterate… is part of what you’re learning.
By the end of this program, you’ll see, hear and experience the content of LEADING AI, but also the architecture that makes Generati a living, evolving system.
“Our Next session introduces the First Principles of Leading AI — the foundations that explain why we need a movement, and how purpose, self-knowledge, and concurrency prepare us to lead AI rather than be led by it.”
Thank you for being here… Let’s end our beginning.
Heygen Narration Script with Slide Cues (Storyboard Version)
Hi, I’m Dr. J… Mike Jay’s cloned “HeyGen” Avatar and I want to welcome you on Mike’s behalf to our Module Zero: A Purposeful Approach In LEADING AI.
In this opening module, we’re not only beginning our journey into Leading AI, but we’re also modeling the very principles that the program is designed to teach.
A LEADING AI Movement
Heygen “Before we dive into the mechanics of how this program will run, let me frame the bigger picture.”
Heygen This is not just a learning series. It is part of the LEADING AI Movement — a movement to prepare leaders, organizations, and communities for a future where intelligence — both human and artificial — accelerates faster than any system we have built to manage it.
Heygen Over the course of this live & recorded program, you’ll learn and experience:
- Heygen The foundation of LEADING AI which lays the groundwork for COACHING AI
• How to lead AI instead of being led by it.
• How to apply AGI2 or Aware Generative Inquiry (AGI) × Artificial General Intelligence (AGI) to decision-making in complex, fast-changing contexts.
• How to align self-knowledge, purpose, and concurrency… with AI to stay relevant now, near, and far… while meeting people where they are… evolving Self & Situational Awareness.
“Each module builds toward this bigger purpose. And as you’ll see today, the way we deliver this program is itself part of the content: a model of Generati which demonstrate systems that multiply value rather than consume it.”
This session is called… Module 0: A Purposeful Approach In LEADING AI. The name signals that what we’re doing here isn’t just content delivery.
The session itself is a model. The way this program is structured is part of what you’re meant to learn.
Why start this way?
Because LEADING AI is about more than ideas.
It’s about generative design at all levels.
It’s about creating systems that multiply value… rather than consume it.
And the best way to experience that is to see it in action.
Here’s the structure we will start with… & adapt each module… On Purpose:
Design generatively. At the center… create the space which recurses on itself with feedback for fast recalibration.
Schedule. You get calendar invites, reminders, and easy access links — clear across time zones.
Prepare. Behind the scenes, scripts are finalized, slides are prepped, and preview prompts may be posted to spark reflection.
Deliver. We meet live for 45 minutes. This is the human center. It’s recorded locally and in the cloud. An AI-generated summary is created automatically.
Organize. Recordings, slides, and summaries are stored in a structured archive. They’re tagged by session number and concepts so you can find them later.
Distribute. Edited videos are uploaded to YouTube, links are posted in the community hub, and participants are invited to share feedback and insights.
Recalibrate. Based on feedback, comments, suggestions, push back and ideas, recursion and improvement is baked-in always.
Iterate. Feedback is collected and used to improve the next session.
We want to notice which formats work best.
Whether it’s recaps, summaries, or full recordings… we want to feed that learning back into a generative design… and recalibrate.
Why is this not just administration, but part of what you’re learning?
Scalable Presence: One live effort produces multiple downstream assets — archives, recaps, videos, and summaries
Multimodal Learning: Each of us tends to learn differently. Some prefer to hear, some read; some watch, some experiential is best.
Curation & Continuity: By cataloguing and tagging, we build a library of assets. This becomes a long-term resource, not a one-time event, but an emergent legacy.
Monetization Pathways: The same system supports free public content… monetizable on YouTube, while also providing paid access to archives, and premium live engagement.
Generativity: The system produces more than the sum of its parts. Every session creates new assets, insights, and opportunities for use and reuse.
As a participant, you’re not just here to absorb information.
You’re also here to notice the system itself… purposefully, we have designed in metasystematic models.
Watch how every session multiplies. Notice how your own feedback helps steer the design.
Recognize how the structure embodies Generati — purposeful generativity.
Step back… take a different perspective… evolve.
So, welcome to Module 0: A Purposeful Approach In LEADING AI
Every part of this loop: design → schedule → prepare → deliver → organize → produce → distribute → recalibrate → iterate… is part of what you’re learning.
By the end, you’ll experience both the content of LEADING AI and the architecture of Generati.
“Our Next session introduces the First Principles of Leading AI — why we need a movement, and how purpose, self-knowledge, and concurrency prepare us to lead AI rather than be led by it.”
Thank you for being here… Let’s end our beginning.
Participant Notes:
Objectives
• Understand how the program models LEADING AI.
• Notice that the workflow (DESIGN → Iterate) is part of what you are learning.
• Recognize how one live effort produces multiple downstream assets.
• Reflect on how you apply this loop to your own projects or leadership contexts.
• From a purpose level, regulate the behavior in the system.
Key Concepts
• Scalable Presence: one live effort → many outputs.
• Multimodal Learning: hearing, reading, watching.
• Curation & Continuity: structured archive builds long-term value.
• Monetization Pathways: free, paid, premium, derivative assets.
• Generativity: the system creates more than the sum of its parts.
Reflection Prompts
1. Does this generative design reduce wasted effort?
2. Is there a place in your own work could you reuse this cycle?
3. Are there new assets to be created from one activity you already do?
Takeaways
• Every session is both content and model.
• LEADING AI multiplies value through design.
• You are encouraged to adapt this guide as a design for your own legacy.
• Participate freely and provide feedback, comments, ideas and encouragement.
Modeling Notes (Meta-Layer)
This guide is itself a model. Facilitators can use it to run the session. Participants can use it to track learning and reflection. And both can use it as a template for designing future sessions. This is fractal Generati’S ARIA(H) in action as one note is used in multiple rhythms.
Join us,
Our team at Living & Loving Inquiry
Mike R Jay & Gary Gile
Founders @ The NEW LeadU
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- Disclaimer
Notice: To pre-order a copy of Mike’s latest book mentioned in some of his posts in e-book format for $9.97 (available late 2025), visit HERE to began your reading.
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We hope you pick up valuable insights, ideas, and tools during this process, which you can use for your own development as well as your work and leadership with others.
You, Me, and We @LeadU
Mike R. Jay is a developmentalist utilizing consulting, coaching, advising and helping… emergent from dynamic inquiry as a means to cue, scaffold, support, lift, and protect; offering inspiration to aspiring leaders who are interested in humaning where being, doing, having, becoming, contributing, relating, guiding to produce resilience and wellth help people lead generative lives.
