The author created a digital twin focused on professional expertise, covering a decade of content on automation, management, and career development. The dataset excludes fiction, prioritizing practical insights. The total volume of the compiled text reaches 3.4 million characters, which is equivalent to approximately eight books of 400,000 characters each.
The project originated from an attempt to simplify navigation through the author's extensive book blog. Instead of relying on traditional tables of contents, the author consolidated the information into a single file. This format allows users to feed the data into an AI model to generate personalized recommendations or find specific information relevant to their professional needs.
The author notes that traditional search methods fail to maintain context when information is scattered across multiple sources. By centralizing the data, the AI can effectively retrieve and synthesize knowledge based on the author's specific expertise. This approach addresses the challenge of navigating large archives of professional content efficiently.
