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How to create your own AI performance coach: Optimizing your unique nutrition, recovery, and injury management needs | Lucas Werthein (Cactus)
Lucas Werthein, the COO and co-founder of Cactus, shares how he built a personalized AI wellness coach using ChatGPT to optimize his athletic performance while managing past injuries. After multiple surgeries on his knees, shoulder, and foot, Lucas created a system that synthesizes data from medical imaging, blood tests, wearable devices, and nutrition plans to provide personalized recommendations. His AI coach helps him balance competitive tennis, weightlifting, and running a company while maintaining his goal of “feeling 25 in a 40-year-old body.” Lucas demonstrates how this approach transforms siloed health information into actionable insights that protect joints, optimize recovery, and extend peak performance.
What you’ll learn:
- How to configure a ChatGPT with multiple data types, including MRIs, x-rays, blood tests, and wearable metrics, to create a comprehensive health profile
- A framework for setting clear performance boundaries that prioritize joint protection, energy optimization, and injury prevention
- Techniques for using AI to balance nutrition around special events like social dinners while maintaining performance goals
- How to use images and videos to get AI feedback on physical symptoms and injury recovery timelines
- A method for validating and contextualizing medical advice by having AI synthesize information from multiple health-care providers
- Why creating clear rules and anti-prompts helps AI deliver practical, evidence-based recommendations instead of trendy supplements or extreme protocols
—
Copy Lucas’s Health Coach Prompt: https://www.lennysnewsletter.com/p/how-to-create-your-own-ai-performance-coach
—
Brought to you by:
WorkOS—Make your app enterprise-ready today
Google Gemini—Your everyday AI assistant
—
Where to find Lucas Werthein:
Website: https://cactus.is/
—
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
—
In this episode, we cover:
(00:00) Introduction to Lucas’s athletic background and injury history
(04:55) The challenge of synthesizing siloed health data
(06:11) Building a GPT to optimize performance and recovery
(09:57) Demonstrating the data types integrated into the AI coach
(13:54) Configuring the GPT with clear performance goals and boundaries
(16:31) Setting realistic expectations for the AI coach
(17:50) Creating nutrition, training, and recovery frameworks
(21:47) Establishing hard boundaries and anti-prompts
(24:25) Example: Managing nutrition around special events
(27:30) Accessibility and affordability of on-demand coaching
(28:24) Practical examples and real-life scenarios
(29:31) Using AI for injury management and recovery planning
(34:19) Validating expert opinions and translating medical advice
(37:25) Vision for the future of AI in personal health coaching
(43:27) Other AI workflows: synthetic clients and AI co-founders
(48:48) Final thoughts on AI reliability and evolution
—
Tool referenced:
• ChatGPT: https://chat.openai.com/
—
Other references:
• InBody scan: https://inbodyusa.com/
• Whoop: https://www.whoop.com/
—
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
View all episodes
By Claire Vo
4.8
143143 ratings
Lucas Werthein, the COO and co-founder of Cactus, shares how he built a personalized AI wellness coach using ChatGPT to optimize his athletic performance while managing past injuries. After multiple surgeries on his knees, shoulder, and foot, Lucas created a system that synthesizes data from medical imaging, blood tests, wearable devices, and nutrition plans to provide personalized recommendations. His AI coach helps him balance competitive tennis, weightlifting, and running a company while maintaining his goal of “feeling 25 in a 40-year-old body.” Lucas demonstrates how this approach transforms siloed health information into actionable insights that protect joints, optimize recovery, and extend peak performance.
What you’ll learn:
- How to configure a ChatGPT with multiple data types, including MRIs, x-rays, blood tests, and wearable metrics, to create a comprehensive health profile
- A framework for setting clear performance boundaries that prioritize joint protection, energy optimization, and injury prevention
- Techniques for using AI to balance nutrition around special events like social dinners while maintaining performance goals
- How to use images and videos to get AI feedback on physical symptoms and injury recovery timelines
- A method for validating and contextualizing medical advice by having AI synthesize information from multiple health-care providers
- Why creating clear rules and anti-prompts helps AI deliver practical, evidence-based recommendations instead of trendy supplements or extreme protocols
—
Copy Lucas’s Health Coach Prompt: https://www.lennysnewsletter.com/p/how-to-create-your-own-ai-performance-coach
—
Brought to you by:
WorkOS—Make your app enterprise-ready today
Google Gemini—Your everyday AI assistant
—
Where to find Lucas Werthein:
Website: https://cactus.is/
—
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
—
In this episode, we cover:
(00:00) Introduction to Lucas’s athletic background and injury history
(04:55) The challenge of synthesizing siloed health data
(06:11) Building a GPT to optimize performance and recovery
(09:57) Demonstrating the data types integrated into the AI coach
(13:54) Configuring the GPT with clear performance goals and boundaries
(16:31) Setting realistic expectations for the AI coach
(17:50) Creating nutrition, training, and recovery frameworks
(21:47) Establishing hard boundaries and anti-prompts
(24:25) Example: Managing nutrition around special events
(27:30) Accessibility and affordability of on-demand coaching
(28:24) Practical examples and real-life scenarios
(29:31) Using AI for injury management and recovery planning
(34:19) Validating expert opinions and translating medical advice
(37:25) Vision for the future of AI in personal health coaching
(43:27) Other AI workflows: synthetic clients and AI co-founders
(48:48) Final thoughts on AI reliability and evolution
—
Tool referenced:
• ChatGPT: https://chat.openai.com/
—
Other references:
• InBody scan: https://inbodyusa.com/
• Whoop: https://www.whoop.com/
—
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
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