AI Summary
→ WHAT IT COVERS Lucas Werthein demonstrates how he built a custom ChatGPT performance coach using MRIs, blood tests, WHOOP data, nutrition plans, and injury records to optimize athletic performance, recovery, and injury management at age 40. → KEY INSIGHTS - **Multi-format data integration:** ChatGPT processes MRIs, X-rays, blood tests in PDF format, CSV files from wearables, nutrition plans, and journal entries across multiple languages without requiring data cleaning or standardization, enabling comprehensive health synthesis. - **Prompt architecture for coaching:** Effective GPT prompts combine role definition, realistic outcome goals, hard boundaries on what not to recommend, tone specifications, and cross-validation requirements rather than demanding extreme optimization or unproven biohacking interventions. - **Visual input for diagnosis:** Taking photos or videos of pain points, circling specific areas, and uploading to ChatGPT enables on-demand validation of expert opinions and personalized explanations in accessible formats when medical professionals are unavailable. - **Synthetic expert workflows:** Creating GPTs trained on publicly available information about clients or colleagues enables teams to get 80-90% accurate responses to questions when those experts are unavailable, reducing meeting overhead in distributed work environments. → NOTABLE MOMENT Werthein uploads pre-surgery and post-surgery knee MRIs alongside real-time injury photos and PT prescriptions, allowing his AI coach to provide recovery timelines and validate medical advice with visual context that typical health apps cannot process. 💼 SPONSORS [{"name": "WorkOS", "url": "workos.com"}, {"name": "Google DeepMind", "url": "ai.dev"}] 🏷️ AI Health Coaching, ChatGPT Custom GPTs, Wearable Data Integration, Performance Optimization