Update: The Content Engine Is Running—A47 and Cultology Articles are in the Works

The system I've been building is in testing, and the results far better than I expected

Hello, everyone. I hope your new year has been treating you well. It’s been about five weeks since my last update, and I’m excited to share some genuinely encouraging news about where things stand.

But first—thank you. Those of you who have continued to support this work, whether through subscriptions, donations, comments, or simply by reading and sharing what I put out, you mean more to me and my family than I can adequately express. My son is approaching his first birthday now, and every day with him and my wife reminds me why I’m doing this work in the first place. They are my top priority, and your support helps make it possible for me to pursue this project alongside the demands of providing for my family.

The System Has Matured—Significantly

In my last update, I told you I’d been developing what was then the third generation of my research-and-content production system—the one designed to finally solve the bottleneck between the depth of my research and my ability to turn it into consistent, high-quality content for you.

Since then, that system has evolved rapidly. I’m now working with what I’d call the fifth generation, and before you wonder whether that signals instability, let me explain: each iteration hasn’t been a teardown and rebuild. It’s been a process of discovering new capabilities and integrating them into the existing framework. The core architecture has remained stable—what’s changed is the sophistication of the tools built on top of it.

Through a process called “vibe coding”—where you describe a problem to an AI like Claude, work through the engineering constraints together, and then have it help you build the solution—I’ve now developed somewhere on the order of six custom tools. These tools allow AI to interface directly with my research library, helping me organize thousands of pages of raw material using thematic tagging, argumentative classification, and structured data formats that turn a mountain of voice memos and notes into highly organized datasets.

The pipeline now looks like this: raw research (voice memos, handwritten notes, reading notes) gets organized into structured databases, which get organized into article outlines, which get developed into full drafts. Each stage is accelerated by these tools while keeping me in the driver’s seat at every step.

Why This Matters So Much to Me Personally

I want to give you a window into something about how my mind works, because it explains why these tools represent such a personal breakthrough.

For as long as I can remember—going back to early childhood—I’ve had a particular way of processing information. When I engage with something—a book, an article, a conversation, even a film—part of my attention is focused on the material in front of me, but in the background, almost like a kaleidoscope, my mind simultaneously generates inferences, connections, theories, and models across dozens of threads at once. It’s as if the information projects into my consciousness and, like light hitting a prism, branches out in directions I’m not entirely steering—I’m witnessing it unfold.

When I was young, I noticed this was happening and began leaning into it, feeding it deliberately through my teenage years and throughout my education. It allowed me to develop deep intrinsic understanding of the things I was studying, because by engaging with one subject, I’d simultaneously enrich my understanding of ten others. Then I could revisit those connections and find even more waiting for me, because while I’m focused elsewhere, something in the background—call it subconscious processing—keeps working on it. It’s a recursive, self-enriching cycle that has been the engine behind everything I’ve built intellectually over the past two decades. I have dozens of handwritten notebooks documenting this process, and it’s essentially where the antecedents of the omniological method came from.

The challenge has always been capture. What pours through my consciousness in these moments far outpaces my ability to write it down, speak it, or type it. I try to furiously record as much as I can—through voice memos, handwritten notes, and dialogue with AI—but I only ever capture a fraction in the moment. Fortunately, when I go back and revisit these threads later, much of what I missed resurfaces, often enriched by the background processing that continued without me. But the sheer volume and interconnectedness of it all makes organizing and drafting extremely difficult. When I sit down to write, fifty threads flood in simultaneously, and I’m trying to filter, prioritize, and not lose any of them in the process. This is exactly what happened with Agenda 47 Explained Part 2—I sat down to redraft it twice, and each time I ended up writing 30,000 words of material that still needed massive organization.

That’s what makes this new toolset transformative for me. For the first time, I have a system that can meet the way my mind actually works—capturing, tagging, organizing, and structuring the output of this process into something coherent and navigable, without forcing me to slow my thinking down to the speed of my typing. AI hasn’t replaced this cognitive process; it’s become the bridge between what happens inside my mind and what I can actually deliver to you.

Alpha Testing Is Underway

The most important news I can share is this: I’m currently running two alpha tests of this system in parallel.

The first is focused on the next installment of the Cultology series—Part 2, which I previewed in my November update. This is the deep dive into what we traditionally think of as cults, Steven Hassan’s BITE Model, historical and modern examples, and the concept I call the Cult of One—how parasitic dynamics operate within our own minds.

The second alpha is focused on Agenda 47 Explained Part 2, which has existed in various draft forms for about a year now. One of the things I’ve always struggled with is that my ideas often come out as a rich but disorganized flood—the new system is specifically designed to help me take that raw conceptual material and give it the structure it deserves.

The work is going faster than I expected. As long as I can sit down at the computer and dedicate focused time, the system performs remarkably well. That said, I have a business engagement over the next week and a half that will pull me away from this work, so I want to be realistic with you about timing.

My honest estimate is that you’ll see new content sometime in March—hopefully early March, but I’d rather under-promise and over-deliver at this point. I know my track record on timelines hasn’t been great, and I’d rather give you a conservative estimate I can actually meet than another optimistic one I can’t.

A New Capability: The Thesis Lens

One development I’m particularly excited about—and didn’t anticipate when I started building these tools—is what I call a thesis lens.

Here’s how it works. I take a master thesis—say, the central argument of Agenda 47 Explained, which explores whether Trump and the forces behind him represent a faction of elites attempting to transition civilization from its current parasitic state toward a symbiotic one. I then work with AI to decompose that thesis into a cascading series of questions using a process called epistemic regress.

What does “civilization” mean in this context? What distinguishes a parasitic civilization from a symbiotic one? What are the mechanisms of transition? Who are the relevant actors? Each answer generates further questions, and the result is what I call a thesis tree—essentially a living, expanding intellectual framework that models the full architecture of the argument.

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Once that tree is built, I can use it as an analytical lens to examine anything. Current events, historical parallels, new research—all of it can be evaluated through the framework, incorporated into the tree where relevant, and used to generate content that applies my models to real-world developments.

I’ve already tested this with some recent events—the Epstein disclosure developments and the tariff activity, for example—and the results were remarkable. The system was able to analyze these events through my models and produce analysis that closely mirrors what I would have written myself, but organized and structured in ways that would have taken me days to produce manually.

In a sense, I’ve built a tool that takes the way I think—the connections I make, the models I use, the questions I ask—and externalizes it into a form that can be documented, refined, and used to generate content. It’s not replacing my thinking; it’s capturing it and making it usable at scale.

The Bigger Vision

I want to share something I’ve been thinking about, though I want to be careful to frame it as aspirational rather than a promise.

This toolset—the research organization system, the thesis lens, the content production pipeline—isn’t just useful for me. In principle, anyone who has the dedication to understand the world they live in could use something like this. You would take your thoughts, your research, your understanding, express it into a form the system can work with, and then use it to cross-analyze any information you encounter, identify gaps in your understanding, fill those gaps, and produce content that communicates your insights clearly and powerfully.

Imagine an ecosystem where thoughtful, morally grounded people are armed with tools that let them produce analysis as sophisticated and well-structured as anything coming out of a think tank or media organization. We would have a way to compete with the propaganda machinery of our age using truth, rigor, and genuine understanding rather than spin and manipulation.

That’s the long-term vision. It’s probably a year or more away from being something I could offer to others—there’s still a great deal of development, testing, and documentation to do. But the foundation is being laid right now, and every tool I build for my own work brings that vision closer to reality.

Consider supporting this work by becoming a subscriber.

More support means more content, and if I can eventually transition to full-time work on these projects, I’ll be able to release material with much greater frequency and scope. Every subscription helps sustain my family and allows me to dedicate more energy to this research.

A Note on AI—Again, Because It Matters

I know some of you have concerns about AI, and I want to continue being transparent about how I use it. The tools I’ve built are force multipliers—they help me organize, structure, and refine my work. But every single output is evaluated by me personally. Nothing goes out that I can’t put my name behind. The AI cannot hallucinate its way past my review process, because I’m checking everything against my own understanding and research.

Think of it the way you’d think about any powerful tool. A calculator doesn’t do your thinking for you—it executes operations you direct it to perform. A telescope doesn’t see for you—it extends your vision. That’s what these AI tools are: extensions of capabilities I already have, not replacements for the judgment, experience, and discernment that come from decades of dedicated research.

How You Can Help

I want to be honest: building these tools costs money. The infrastructure runs on cloud services, and the AI tools themselves have usage costs. Right now, I’m funding this development out of my own limited excess income. Every subscription, every donation—even as small as $3—helps me continue this work and get content into your hands faster.

If you’ve found value in what I do and want to help bring this project across the finish line, your support would mean the world to me and my family. And in the long run, you’d be contributing to building something that could empower anyone who cares about truth to have their voice heard with clarity and force.

Make one donations below (any amount)

What’s Ahead

Here’s what you can expect in the near term:

I’m pushing to have Cultology Part 2 and Agenda 47 Explained Part 2 ready as soon as the alpha testing is complete and I’ve had time to do my final review and refinement. March is my target, and I’m working toward it with everything I have. I’ll also continue these updates so you know where things stand—no more long silences.

Thank you again for your patience, your support, and your trust. I know the wait has been long. I believe what’s coming will be worth it—not just for the content itself, but for what it represents: a sustainable way for me to finally deliver on the depth and consistency this work has always deserved.

I hope you’re all having a blessed start to 2026. More soon.

With love,

Justin

Please tell me what you think or let me know if I got something wrong. I want to hear from you.

Justin Deschamps is a researcher, omniologist, podcaster, and business consultant who has committed himself to restoring the knowledge, reason, and goodwill that helped the founding fathers create the greatest nation on earth.

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