
Bring your whole self
to your work with AI.
We need conscious, heart-centered humans leading the way with AI.
In this course, you’ll practice bringing your wisdom, creativity, and discernment into the process, making thoughtful choices about what to create and how it can serve others.
Your intuition, care, and judgment belong in the creative process.
You'll sense which ideas have energy and what could make a difference for the people you serve. Your AI assistant will help you put that deeper knowing into words and bring your ideas to life.
Meet Your Guide

I’m Gabriel Powell, an Integral Master Coach™ and the founder of AI Coaching Mastery.
My work brings together a love of human development and a lifelong fascination with turning ideas into tangible form.
I began in photography and graphic design, then spent two decades working as an author, educator, and software architect.
I wrote books and created video training for Adobe Press, taught creative professionals around the world, and designed automated publishing systems for organizations including the World Health Organization, ISO, McGraw-Hill, and HarperCollins.
For the past decade, I’ve coached leaders, coaches, and L&D professionals. My work with Coaches Rising has included developing its visual brand and facilitating live online learning experiences.
Over the past two years, I’ve taught 48 cohorts of The AI Coaching Intensive, helping hundreds of coaches, facilitators, and learning and development professionals put AI to work.
Those conversations have taught me where people get stuck, what they need help understanding, and what makes AI useful in their day-to-day work. That experience shapes this course. I’ll explain technical concepts in familiar language and help you apply them to the projects you care about.
In this course, I’ll help you understand what you’re building, explore what becomes possible, and develop a personalized AI assistant around your own knowledge, creativity, and vision.
I bring a coach’s insight to technology
and a technologist’s clarity to coaching.
Your 8-Week Learning Journey
Module 1
Dec 2
Module 2
Dec 9 – 16
Module 3
Jan 5 – 13
Module 4
Jan 20 – 27
Integration
Feb 3
You’ll move through four modules and a closing integration week with your peers, applying what you learn to a meaningful project.
Each week, I’ll show you how to take the next step in your project, with live demonstrations and guidance you can put straight to work.
In the open design labs, you’ll build alongside your peers, explore ideas, and get feedback and support to work through challenges and refine what you’re creating.
Give Your AI Assistant a Foundation for Your Work
Module 1
Week 1
Give Your AI Assistant a Foundation for Your Work
You'll start by choosing a meaningful project, then personalize your AI assistant around your knowledge, experience, and ways of working. You’ll give it a practical foundation to support you from the start, then build on that foundation as your project takes shape throughout the course.
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Choose a practical starting point. You’ll receive a list of prepared projects to spark ideas and help you get started. You'll pick one that excites you or propose your own for review, then define a manageable first result.
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Gather the context your project needs. Bring together the methods, ideas, and resources most relevant to your project.
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Help your AI assistant understand you. Use guided conversations to clarify your voice, preferences, and what matters in your work.
Design How You’ll Work Together
Module 2
Weeks 2–3
Design How You’ll Work Together
You’ll learn how to turn your idea into a clear, workable plan for building your project. I’ll make systems thinking practical and easy to understand by explaining the technical concepts in plain language and showing you how to apply them to your work.
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Create a plan for your project. Define the result you want and map how the knowledge, materials, and decisions involved will fit together.
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Make the work repeatable. Break the work into clear, sequential steps, defining what each step needs and what it should produce. Identify any templates or tools that will help your AI assistant produce consistent results.
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Build your judgment into the process. Decide when your AI assistant should ask for your input, pause for review, or wait for your approval so the work stays aligned with your intentions.
Build, Test, & Improve Your AI Assistant
Module 3
Weeks 4–5
Build, Test, & Improve Your AI Assistant
Put your new AI assistant to work on the first useful piece of your project. You’ll test it on a real task and learn how to make the experience more personalized and productive.
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Bring the first piece of your project to life. Put your plan into action and create something useful with your AI assistant.
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Discover what makes it work better for you. Explore what’s working, notice what’s missing, and use feedback to refine the way your AI assistant supports you.
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Pick up where you left off. Learn to save useful insights, decisions, and next steps so you can keep moving forward without piecing everything together again.
Build on What You’ve Learned
Module 4
Weeks 6–7
Build on What You’ve Learned
With a first useful result created and tested, you can take your project further or begin working on a new one. You’ll continue refining the skills you’ve learned and building the confidence to keep improving your projects long after the course ends.
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Test how well your approach holds up. Apply it to another real task and discover which steps work consistently and which need adjusting.
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Put your new skills to work on what’s next. Develop another part of your current project or use what you’ve learned to plan and begin a new one.
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Make your AI assistant more useful to you. Refine its instructions, materials, and review points so it supports the way you want to work with less back-and-forth.
Keep Improving Your AI Assistant Beyond the Course
Integration
Week 8
Keep Improving Your AI Assistant Beyond the Course
You’ve learned how to turn an idea into something you can build, test, and improve. In our final week together, you’ll bring that learning together and prepare to keep developing your personalized AI assistant with greater ease and confidence.
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Keep your AI assistant growing with you. Learn when to update its knowledge and instructions, how to spot problems, and what to adjust as your work evolves.
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Discover new possibilities through your peers. Share something you’ve created or learned, and explore how others’ approaches could inspire your own work.
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Leave with clear next steps. Recognize how far you’ve come and use feedback to choose your next improvements. You don’t need a finished project to leave with a clear direction.



