The Autoimmune Recovery Method is another of our own companies, a part-time education business Christopher built with his wife Daniela. For it, we built a large, sourced education library and put AI to work on the research and the first draft, with a certified subject-matter expert verifying and shaping every piece before it published. Nothing ships unverified.
Behind the Autoimmune Recovery Method sit years of teaching, a shelf of reference material, and an expert's own writing, spread across course modules, article archives, food charts, and notes. The goal was to turn all of it into one original, trustworthy, fully searchable resource that a reader could actually use, at a scale no one could write by hand, without ever publishing something that had not been checked by a qualified person.
The reader gets a fully searchable recipe library, a self-paced course, and a browsable food explorer, all reading from the same reviewed material. These are representative previews, built in our own navy-and-gold style.
Representative previews, built in our own style. Sample data is fabricated for the demo and is about the build, not health advice.
Every topic is structured, every claim cites a source, and a certified subject-matter expert reviews each piece before it publishes. Nothing self-certifies.
Introduces the topic, sets context, and previews what the explainer covers.
Summarizes the reference material behind the topic, with each claim linked to a numbered source.
Defines the terms used on this page, with tappable definitions shared across the library.
The full citation list for this topic, shown in the panel at right.
Structure and sourcing shown. Citations and counts are fabricated for the demo.
Two pipelines feed one reviewed library. AI does the heavy first pass; gates catch the ways it goes wrong; a certified expert verifies before anything reaches a reader.
Reference corpora and the expert's own material are gathered, with a research gate holding every figure and claim before it can be used.
A scheduled pipeline drafts recipes and topic-canonical articles from scratch, one authoritative piece per topic rather than rewriting sources one for one.
A voice-retention gate proves each piece was written fresh rather than lightly edited, plus checks on compliance, nutrition, and repeated phrasing.
A certified subject-matter expert, Daniela Hess, a certified AIP coach, reviews and shapes the voice. Nothing publishes without passing the gates and an explicit enable.
The same reviewed knowledge base powers both the browsable library and a retrieval-grounded coach, so the material is written and reviewed once, not twice. The build principle is the one behind everything else we make: AI does the heavy first pass, a qualified person stays on the judgment, and nothing ships unverified.
This is the pattern for turning years of know-how into an original, sourced, searchable library, with a qualified person on the judgment the whole way. Start with a free 20-minute call.