Knowledge engineering, from someone who's run the engineering — and built the graphs.

I'm Julee Burdekin. Before agents made organizational legibility urgent, I spent years in engineering management and strategic planning, and I built knowledge graphs and information architecture when “semantic layer” was still a back-office concern. That combination is the point. Making an organization legible to its agents isn't a writing task and it isn't pure data plumbing — it's an org-design and systems problem that happens to produce structured artifacts.

The discipline the market now calls the semantic layer — taxonomies, ontologies, knowledge graphs that ground AI in real meaning — is the same discipline I've practiced, applied one level up: not just to your data, but to how your organization actually decides, operates, and knows things. That's the layer agents stand on. It's also the layer nobody has owned.

Allostasis is that discipline, offered as a practice. I work with teams who've realized their agents are only as good as the context they're given — and that the context is the part no one has architected yet.