Notes on source-governed AI.
Short essays on source governance, document readiness, and safer knowledge workflows. Written for business operators, consultants, and professional-service teams.
Why AI Needs Source Governance Before It Needs More Prompts
Prompt engineering matters, but it cannot fix the problem of AI reading the wrong documents. Source governance comes first.
Connected Does Not Mean Approved
Connecting a folder to AI is a technical step. Approving it for answers is a governance decision. Teams should not blur the two.
The Difference Between a Document Dump and a Source Layer
A pile of documents is not a knowledge system. A source layer adds the structure that makes AI answers safe to cite.
How to Prepare Business Documents for AI Without Exposing Too Much
Source readiness is the work that happens before any upload. It is how teams avoid surfacing the wrong material in front of clients.
Why Custom GPTs Need a Governed Knowledge Backend
A Custom GPT is a great interface. It is not a good source of truth. The two roles should not collapse into one.
What a Source Readiness Review Actually Checks
A readiness review is a short, honest conversation about what the assistant is for and which sources it should — and should not — touch.
Want to apply this to your own sources?
The readiness intake maps the documents your AI should rely on — without uploading or connecting anything.