002 AI Coaching Platform Refinement: 3-Month Research Sprint

The source outlines a comprehensive three-month strategic research plan for developing an AI Coaching Digital Twin platform, focusing on critical analysis and integrating a Chief Strategy Officer (CSO) perspective from the outset. It details research streams aimed at re-validating core business assumptions, performing a thorough SWOT analysis update, and conducting early risk identification with a focus on complex HIPAA compliance challenges, especially when using new low-code/no-code tools. The plan includes a detailed technology evaluation of various tools like Claude API, Google Cloud AI, Lovable, Cursor, and n8n based on criteria such as functionality, scalability, security, and cost, impacting the technical blueprint. An integrated roadmap aligns activities across C-suite roles (CTO, CPO, CMO, CFO, CSO) and customer perspectives to build an MVP, validate the business model, and cultivate perceived need through targeted research into practitioner pain points and value proposition framing. Finally, it emphasizes the critical importance of establishing ethical foundations and building user trust by researching best practices in ethical AI, ensuring robust HIPAA compliance with the chosen tech stack, and developing strategies for transparency and communication.