One approved version of your business’s facts — organized so your team and your AI tools work from the same source.

A knowledge library is a structured, curated collection of your organization’s source-of-truth information — the facts, features, context, and approved language that your AI assistant draws from when generating content. Without one, your AI assistant works from whatever it can find or infer. With one, it works from what you’ve decided is accurate, current, and approved.

Here’s what that fixes:

• You stop paying twice for the same work. When AI drafts start from accurate material, your employees spend less time correcting errors and rewriting — the hidden tax that eats the time AI is supposed to save.
• You stop being the quality bottleneck. When everyone’s drafts pull from the same approved language, less of your day goes to catching errors and off-brand claims.
• You stop losing what your business knows. What lives in your head — or a veteran employee’s — becomes durable, findable, and usable, even as people come and go. New hires and new AI tools ramp up from the same source.

I build libraries from what you already have — whether your knowledge lives in documents or in people’s heads, or both.

What you receive:

• Information gathered, verified, and structured — the curation work of deciding what’s authoritative, outdated, or missing
• A road-tested system, not just a document: I run real content through the library — and through a starter set of prompts tuned to your common content needs — and adjust both until the output sounds like you
• A library you control and keep current — organized so both people and AI tools can use it, with a simple workflow so it stays that way

Most experts take their own genius for granted. The harder problem is gathering that knowledge and putting it into a form other people — and AI tools — can use.

My Knowledge Capture Sessions (KCS) solve this through a structured, 45-minute conversational interview. Using my framework, I facilitate a live session where an AI assistant guides your expert through a targeted series of questions.

This AI collaboration is powerful. Because the AI has a vast, cross-disciplinary lens — spanning adjacent research, industry context, and specialized terminology — it catches blind spots and asks relevant follow-up questions a human facilitator might never think to raise. The result is a deeper capture of what your expert actually knows, not just what they happened to remember that day or thought to jot down.

The session produces structured, documented knowledge — organized for easy access by both humans and AI tools. That knowledge can then be used to write articles, case studies, training materials, or any other content your team needs. It can also seed a knowledge library directly, becoming part of the governed source material your prompt library draws from.

I can build a custom version of this intake system tuned to your company’s industry and terminology for your team to keep and run independently. Or, if your team is too busy to manage the interviews, I am available to conduct the sessions and incorporate them into your content library.

Once your knowledge library and prompt library are in place, your team can generate strong first drafts independently. But sometimes you want an extra set of hands.

I’m available to run the system myself — generating content using your library and prompts — or to edit drafts your team has already produced. This is available as needed, not as a recurring commitment.

Content I can produce or edit using your system includes case studies, newsletter articles, SOPs, training documentation, and internal communications.