About the Client
Glenn Gow
Glenn Gow is a renowned CEO coach with a Harvard MBA. He's worked with companies like Apple and Google and has been acing the CEO game for 25 years. He coaches CEOs worldwide, in both public and private businesses — both large and small companies.
The Challenge
Glenn approached us with a vision to elevate his coaching services. Known for his profound understanding of technology, especially AI, Glenn aimed to use his skills to offer more effective, accessible support to his clients.
His objective? To augment his tailored coaching with a tool that provides instant, 24/7 assistance, addressing the ever-changing and urgent demands of CEOs.
The ZenBiz Approach
What we delivered.
We built a state-of-the-art AI chatbot — the 'AI CEO Coach' — a custom-made tool to tap into Glenn's deep well of CEO coaching expertise. Like having a mini-Glenn, on-call 24/7.
Custom AI Chatbot
GPT-4 powered assistant trained on Glenn's content — blog posts, YouTube videos, and podcast transcripts — delivering insight in his voice.
Depth-First Content Indexing
We identified a core question set first, fine-tuned parameters like model, pre-prompt, and temperature, then expanded the content progressively.
Condensed Transcripts
We condensed portions of video transcripts to over-weight Glenn's most important teachings, sharpening the chatbot's responses remarkably.
Public GPT Store Launch
The AI CEO Coach is also available publicly on the GPT store — extending Glenn's reach beyond his direct client base.
The Results
Measurable impact.
The AI-driven chatbot significantly uplifted Glenn Gow's coaching methodology.
Immediate response capability — clients get instant access to professional advice
Round-the-clock service aligned with CEOs' demanding schedules
Focused coaching sessions — Glenn dedicates more time to complex, strategic work
Expanded client reach without diluting personalized coaching quality
Insightful data collection to continuously improve coaching content
Insights Gained
Our development and testing of the AI CEO Coach revealed several key insights:
Core Question Set First
We identified the questions AI CEO Coach would answer with high confidence before expanding the content scope.
Depth-First Approach
Fine-tuning model parameters like temperature and pre-prompt before scaling allowed us to nail quality before quantity.
Progressive Content Expansion
Once initial testing was satisfactory, we added more content to expand the range of answers the chatbot could provide.
Augmented with Custom FAQs
Adding social links, scheduling links, and contact info ensured the chatbot could handle practical inquiries instantly.
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