Enterprise

Knowledge-representation researchers split knowledge into a rulebook and a diary forty years ago. Keeping the T-box and the A-box apart is what turns an agent with a long context window into one with a real memory.

The processes that produce revenue are reasoning habits, not workflows. Borrowing Wolfram's computational reducibility to find the pockets inside them — and to let the record assemble itself.

A business world model, the org chart as a routing protocol, the end of manual CRM entry, and the end of hardcoding. Read together, they describe one architecture — and one uncomfortable org change.

Every era of architecture reduced how much of the world we decide in advance. The next step is a tiny constitution humans control — and everything else negotiated by agents.

The agent isn't the model, the memory, or the tools. It's the rules and context — everything else is replaceable infrastructure.

For decades we built corporate software focused on one thing: keeping a record. The next era is about reasoning over context.

Most modern SaaS platforms are graveyards of disconnected data. A context graph reconnects it.

Is digital product content management done right in large enterprises? An attempt to answer.