Many people seek deeper engagement with experts whose work they admire, but one-way content like podcasts and books leaves their questions unanswered. One way to address this could be to create chatbots trained on an expert’s body of work, allowing users to interact with an AI that mimics the expert’s knowledge and style. This could make expert insights more accessible while providing creators with passive monetization opportunities.

How It Could Work

Instead of waiting for live Q&A sessions or paying for personalized coaching, users could select a chatbot modeled after their preferred expert—whether a scientist, entrepreneur, or industry leader. The AI would analyze the expert’s books, articles, and podcast transcripts to generate responses aligned with their views. For example, someone curious about neuroscience could ask an "Andrew Huberman" chatbot about sleep optimization and receive answers pulled from his lectures, with direct links to related resources.

An MVP might involve:

• Partnering with a few experts to train their chatbots using publicly available content.
• Building a simple interface where users ask questions and receive sourced responses.
• Integrating affiliate links (e.g., book recommendations) to explore monetization.

Why Experts and Users Might Participate

For experts, this could be a low-effort way to expand their reach, engage followers, and earn revenue from referrals without additional time commitments. Users, meanwhile, would get instant access to nuanced advice without scheduling calls or sifting through hours of content. The platform could further incentivize experts by offering white-label tools to deploy chatbots on their own websites, creating a win-win.

Standing Out From Existing Options

Unlike generic AI chatbots, this approach would emphasize accuracy and depth by tying responses to a specific expert’s work. Compared to Q&A platforms like Reddit AMAs, it wouldn’t depend on the expert’s availability. And while tools like Character.ai focus on entertainment, this idea would prioritize practical, actionable insights—making it useful for learners and professionals.