Insights from building the systems.
Musings from Rampwellians on the shared AI journey.
What actually goes into a context layer
Facts, language, rules, and history. Four kinds of knowledge, one governed place, and a feed to whatever AI you use. Here is the anatomy.
The part everyone skips is the part that pays
Five parts make up a working AI system. Four of them you can rent or build. The fifth is your own people, and it is the one most programs never fund.
Context debt: the cost you are already paying
Gartner has a name for why your AI output feels generic. Every prompt that starts from zero is an interest payment on a debt you have not funded.
If you have a hundred use cases for AI, you have zero
The fastest way to stall an AI program is to let every team bring its own use case. Build the context first, and the use cases take care of themselves.
From systems of record to systems of action
Your CRM remembers what happened and waits. The next layer acts on it, and then it learns from what the action produced. That loop is the whole game.