I’ve spent the last two years building an AI product for knowledge workers: consultants, investment bankers, analysts ..etc, the people who turn messy information/data into structured, high-stakes deliverables.
What I’ve learned: the bottleneck isn’t AI intelligence. It’s AI structure. The models can reason, write, and analyse. What they can’t do reliably is produce the same artifact the same way twice, respect domain rules they weren’t trained on, or work within constraints that matter to the people who sign the deliverable.
This Substack is where I’ll think out loud about what I’m calling compiled intelligence: the emerging architecture where organisational knowledge gets compiled into deterministic artifacts that constrain AI execution, rather than hoping the model figures it out at runtime.
Expect a post every week. Topics will range from the technical (knowledge compilation, ontology design, hybrid neural-symbolic systems) to the practical (what actually works when you ship AI to demanding professionals or in critical industries).
First article this week: “The Vertebrate Agent: Why AI Agents Need a Spine, Not a Bigger Brain.
If you build AI products for enterprise, work in consulting or finance, or think about the gap between AI demos and AI in production: this is for you.