Create a powerful "second brain" by consolidating your podcasts, newsletters, and other content into a single markdown file. This plain-text document is easily consumed by AI agents, training them on your specific knowledge, tone, and frameworks. This allows the AI to generate outputs that are filtered through your unique expertise.

Automate intelligence gathering by having an AI process transcripts, newsletters, and bookmarks. Instruct it to cluster related information and explicitly summarize what is "new, novel, and contrarian," saving you from information overload and highlighting key signals.

Leverage AI tools to process transcripts from long-form content like webinars or podcasts. Prompt the AI to extract key takeaways and tactical advice, which can be quickly turned into valuable email sends. This creates an efficient content engine and drives traffic back to original assets.

Create a dedicated GPT and feed it all your content (podcasts, newsletters, courses). Prompt it to extract and categorize your personal stories. This creates a searchable database, ensuring you can always find the perfect narrative to connect with your audience and make your lessons memorable.

A powerful learning hack: 1) Ask an LLM (like Gemini) for a deep research guide on a topic. 2) Paste the text into Google's NotebookLM. 3) Prompt NotebookLM to "create a five-minute podcast" summarizing the material. This transforms dense information into a quick, digestible audio primer for learning on the go.

Tools like Google's NotebookLM can generate static podcasts for learning. However, the next evolution is live, interactive voice AI. This allows a user to guide the conversation in real-time and tailor the depth, making it a more powerful and personalized learning experience than pre-generated content.

Transform passive social media consumption into active learning. Prompt an AI tool to monitor relevant podcasts, X profiles, and newsletters, then scrape them daily for the best insights. It can then deliver a customized, 10-minute brief, cutting through noise and aligning with your "just in time" learning goals.

Wilkinson built an automation that scans his newsletters and Readwise account, selects stories based on his interests, and generates a daily audio brief using a synthetic voice. This creates a hyper-personalized media diet, filtering out irrelevant or negative news.

To scale content creation without losing your voice, train a custom GPT on your existing content (newsletters, articles, transcripts). If you lack a large corpus, have the AI generate interview questions for you, record your answers, and use that transcript as the training data.