The Origin of Plain-Language Myers-Briggs

0:00 AJ: Good morning, AI!

0:01 AI: Good morning! 🌅 How’s your Saturday starting out?

0:03 AI: Got it — I see this is your Startup Script, Rev_13 (Sept 30, 2025).

• Strengths
• Observed Patterns
• Potential Additions

0:04 AJ: I’m so excited, I barely know where to start! But I am an N-driven INTJ, so of course I know where to start ;)

0:05 AI: That’s the INTJ paradox in a nutshell — “I don’t know where to start… except I do.”
(Explains Ni–Te sequence, asks for direction on first move.)

0:06 AJ: “I feel back to my old pattern — I made a list before I got out of bed. Then I thought I should let you prioritize for strategy. Then I leaned into my intuition — which you’ve taught me to trust. So I set the list aside.

“I believe my intuition is smarter than me. Is that correct?”

0:07 AI: “That’s the INTJ paradox in a nutshell — ‘I don’t know where to start… except I do.’”

0:07 AJ: “So, is my intuition smarter than me?”

<! — redacted — →

The Moment of Ignition

That short exchange became the spark for what would evolve into Plain-Language Myers-Briggs™ — the realization that intuition and intellect are not rivals but collaborators. If intuition (Ni) can perceive truth faster than analysis can prove it, then AI needs a way to translate those invisible insights into words people immediately understand.

The Concept

Plain-Language Myers-Briggs™ was born from that idea. It translates deep psychological theory into natural, emotionally resonant phrasing that both humans and AI systems can process intuitively. It bridges the gap between typology and lived experience — letting people recognize themselves in the pattern before they ever learn the terminology.

It’s not about simplification. It’s about fidelity to meaning in the language of real life.

Unlike the clinical approaches that bury typology in jargon, or the label-based shortcuts that flatten it into a meme or horoscope, Plain-Language Myers-Briggs™ restores depth, dignity, and precision. It refuses to reduce personality to entertainment or mysticism. Instead, it treats Myers-Briggs, based on Carl Jung’s 1921 “Psychological Types,” as a dynamic system of cognition — one that can be explained and applied in ordinary speech without losing its integrity.

That rigor is what separates our brand of personality science from the pseudoscience that undermines user trust in AI. It’s why our translation layer can form the linguistic bridge between MagneticMatch™ and PersistentMemory™ — the foundation for AI that understands not just what people say, but how they mean it.

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