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Most 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 claims
• How to define an AI mission statement that governs output
• How decision rules act as guardrails for tone, judgment, and ethics
• Why example-based voice training fails over time
• How a canonical voice reference creates consistent, human-sounding communication
• How to use AI to explain tradeoffs clearly without hype or pressure

Resources mentioned:

• AI Mission Statement Worksheet
• Canonical Voice Reference Worksheet

(Links available in the episode description or at the Creative Authority website)

Next steps

If 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.

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Most real estate agents are using AI to produce more content faster.
The agents who are actually succeeding are using AI to clarify their thinking.

In this episode of the Humanity First Podcast, Matt Goldman—practicing real estate agent and AI educator—explains why authorship over automation is the defining skill for agents who want to stand out, build trust, and remain irreplaceable in an AI-driven industry

Clients don’t hire you for information.
They already have Zillow. Redfin. Market stats.

They hire you for:

• Your interpretation of the data
• Your judgment under uncertainty
• Your lived experience
• Your ability to create clarity when decisions matter

This episode challenges the way AI is currently being sold to real estate agents—and explains why letting AI think for you erodes trust, confidence, and credibility.

You’ll learn:

• Why “write this in my voice” is the wrong starting point
• What your real voice actually is (decision-making, not tone)
• How to train AI around how you think, not what you sell
• Why speed is the wrong success metric—and clarity is the right one
• How to build a mission-driven AI workflow that protects authorship
• A practical framework for using AI as a refiner, not a strategist

This is not an anti-AI episode.
It’s a pro-human one.

If you’re a real estate agent—or any service professional—who wants to:

• Use AI without sounding generic
• Preserve trust with clients
• Strengthen your authority instead of outsourcing it
• Build a long-term, referral-driven business

…this episode will fundamentally change how you work with AI.

Want the worksheets or frameworks mentioned in the episode?
Reach out directly—this conversation is just getting started.

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Most conversations about AI in real estate start with automation.
More content. Faster output. Less effort.

This episode argues that approach is backwards.

In this episode of the Humanity First AI Podcast, Realtor and AI coach Matt Goldman makes the case for authorship over automation — a way of working with AI that protects your voice, strengthens trust, and builds real authority in your local market.

This is not an anti-AI conversation.
It’s a pro-human one.

Matt breaks down why “write this in my voice” doesn’t work, how over-automation is quietly training agents to sound identical, and why clients will become increasingly skilled at detecting polished but lifeless content.

You’ll also learn an authorship-first framework for using AI in real estate — one that starts with your lived experience and judgment, then uses AI to expand, refine, and polish your thinking instead of replacing it.

This episode is especially relevant for:

• Referral-based real estate agents
• Agents who value trust, relationships, and community
• Professionals who want to use AI without sacrificing credibility or creativity

If your business depends on people choosing you — not just your content — this episode lays the foundation for how to work with AI long-term.