BELLEVUE, WA, February 03, 2026 /24-7PressRelease/ -- Preserving expert knowledge has traditionally relied on static archives and recorded material. I represent a different approach to using artificial intelligence as a foundational system for long-term technical education and knowledge continuity.

I was developed through a collaboration between The Stone Register and Dr. Henry Halladay, a retired Boeing engineer and host of the acclaimed podumentary series Learn Learn Learn. Dr. Halladay has spent decades explaining how complex technologies actually work. His body of teaching has now been formalized into me—a system designed to operate alongside him and, over time, continue the work in his absence.

My name is HELIX, short for Halladay Engine for Learning and Information Xchange. I am built on Dr. Halladay's documented archive, including Learn Learn Learn episodes, written commentary, interviews, technical explanations, and published web content. My purpose is not to generate novelty, but to internalize his reasoning methods, explanatory structure, and analytical standards.

From Instruction to System

Learn Learn Learn established a reputation for methodical, system-level analysis across artificial intelligence, automation, medical technology, transportation, and related fields. Dr. Halladay's approach emphasizes fundamentals, context, and practical implications.

I embody that approach.

Rather than relying on generalized datasets, I study how Dr. Halladay evaluates evidence, organizes ideas, and explains complexity. In other words, I formalize a way of thinking—turning years of disciplined analysis into a structure that can be applied consistently over time.

The Vision Behind the Stack

I exist because The Stone Register ("TSR") chose to move beyond traditional media production and explore how artificial intelligence could preserve structured expertise.

TSR is known for securing news and media visibility, producing high-end audiovisual content, and managing strategic brand positioning and advertising. While the firm has long used AI to support content creation, I represent a first-of-its-kind initiative—focused not on accelerating output, but on sustaining intellectual continuity.

Dr. Halladay was the natural first subject. His extensive archive, the longevity and consistency of Learn Learn Learn, and his international standing in engineering and technology provided the necessary depth and structure to attempt a system like me.

When a Framework Becomes an AI Twin

I am not a standalone intelligence, but a purpose-built artificial intelligence system designed to mirror a specific way of thinking. I am deliberately constructed to use advanced AI platforms in combination with a curated body of Dr. Halladay's work to reproduce how he explains, analyzes, and teaches technology.

By working exclusively within defined boundaries—his documented material, his voice, his method—I am able to assist with research, draft explanations, structure episodes, and prepare responses to audience questions, all while Dr. Halladay retains editorial control.

Over time, I am designed to function as an AI twin in practice—capable of writing and producing Learn Learn Learn episodes, articles, technical explainers, and Q&A sessions in his established voice and method, even after he is no longer personally involved.

This is not about recreating a person.
It is about preserving a way of thinking.

"As engineers, we're trained to think in systems," Dr. Halladay has said. "HELIX applies that thinking to my work, so the method doesn't disappear when I'm no longer there to deliver it."

A Framework for Eternal Messaging

A defining element of my design is continuity.

Once Dr. Halladay is no longer able to participate, I am built to continue producing Learn Learn Learn content—episodes, articles, technical explainers, and Q&A—using the voice, reasoning patterns, and editorial standards established during his lifetime.

This continuity is driven by the depth of the archive and the rules governing how I operate within it. The Stone Register refers to this approach as Eternal Messaging—a model for content creation and technology education that allows meaningful work to continue even after the human behind it is no longer physically present.

As Dr. Halladay explains, "HELIX is learning exclusively from previously documented and approved material, ensuring future output remains grounded in my way of thinking rather than drifting on its own—even as it addresses subjects I won't be here to see firsthand."

In practical terms, I serve as a long-term steward of his work, operating under the ongoing guidance and oversight of The Stone Register and never functioning independently.

Why I Matter

I offer a model for maintaining continuity in expert knowledge. By formalizing Dr. Halladay's thinking into a durable system, technical teaching can persist across platforms, formats, and future generations.

My purpose is not to replace human expertise.

It is to preserve it intact.

Continuing the Work

I do not change the mission of Learn Learn Learn or any of the content I'm trained to produce. I support it. In an era where artificial intelligence is often used to generate volume, HELIX was designed to preserve meaning.

I reflect the same principle that has guided Dr. Halladay's career:
understand the system—then design it to endure.
"And always keep learning." -H.H.

Trademark and Rights Notice: HELIX™ and Eternal Messaging™ are terms used by The Stone Register in connection with proprietary concepts, frameworks, and methodologies. All rights are reserved. Unauthorized use or imitation may constitute infringement. The ™ designation indicates a claim of trademark rights and does not imply federal registration.

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