This video provides a comprehensive walkthrough of building a personalized AI writing system. Tiago Forte demonstrates how to train AI to replicate his writing style, create a self-improving feedback loop, and significantly reduce writing time. The process involves selecting writing samples, generating an AI style guide, prioritizing guidelines, and implementing a process blueprint.
AI Style Guide Creation: The speaker uses AI (Claude) to analyze his writing samples (70,000 words across 20 essays) and generate a comprehensive style guide. This guide is iteratively refined to include concrete examples and counter-examples, significantly improving AI's ability to mimic the speaker's style.
Prioritization for Effective Writing: The initial AI style guide lacked prioritization. The speaker added a ranking system within each section, ordering guidelines from most to least important. This ensures the AI focuses on crucial aspects of his writing style.
Implementation Guide for Structure: A crucial element beyond the style guide is an implementation guide. This guide provides prompts and questions for the AI to ask the speaker, guiding the writing process and ensuring the AI understands the topic, perspective, and desired outcome before drafting.
Self-Improving Feedback Loop: The system incorporates a feedback loop. The speaker demonstrates how to use edits and identified shortcomings in AI-generated text to refine the style guide, continually improving the AI's output over time. The "copy to project" feature is highlighted as a crucial element in streamlining this feedback loop.
Time Savings and System Creation: The process, while requiring initial effort, results in significant time savings. The speaker emphasizes creating a reusable system for future writing projects, not just a single piece of content.
