Why “Write in My Voice” Fails — and How to Actually Train AI to Think Like You

Connect through textMost people are using ChatGPT the wrong way.If you’re asking AI to “write in your voice,” this episode explains why that approach breaks down—and how to use AI without losing your identity, judgment, or creativity.In this episode of the Creative Authority Podcast, Matt Goldman walks through the system he uses to train AI to think the way he thinks, rather than relying on prompt tricks or examples that don’t hold up over time. This conversation introduces three foundational components—an AI mission statement, decision rules, and a canonical voice reference—that work together as an operating system for AI.Matt also shares a real client case study showing how this setup reduced a complex, nuanced client email from over an hour of work to just minutes, while improving clarity and professionalism.This episode is especially relevant for real estate agents, advisors, coaches, and other service-based professionals who want AI to support their thinking—not replace it.In this episode, you’ll learn:Why prompts are less important than most AI education claimsHow to define an AI mission statement that governs outputHow decision rules act as guardrails for tone, judgment, and ethicsWhy example-based voice training fails over timeHow a canonical voice reference creates consistent, human-sounding communicationHow to use AI to explain tradeoffs clearly without hype or pressureResources mentioned:AI Mission Statement WorksheetCanonical Voice Reference Worksheet(Links available in the episode description or at the Creative Authority website)Next stepsIf this episode helped you think differently about AI, leave a review or share it with a colleague who’s struggling to use AI without sounding generic. If you’ve tried this system, send feedback or questions—this work is evolving, and the learning is happening in real time.Subscribe for future episodes exploring AI, authorship, judgment, and Creative Authority.