Skill Refinery converts expert IP — books, frameworks, course content — into AI-native skill cards delivered through ChatGPT, Claude, and Copilot. Expert guidance, exactly where your team already works.
I've spent years building AI systems for companies — and I kept running into the same problem. Organizations had people with deep expertise: authors who'd written definitive books, consultants with proprietary frameworks, internal SMEs who'd spent decades developing their craft. But when their teams asked AI tools for help, they got generic answers.
The expert IP was sitting in PDFs and slide decks no one could find. The AI tools were right there — ChatGPT, Claude, Copilot — but they had no way to access the specific knowledge that actually mattered to the organization.
Skill Refinery closes that gap. We extract the expert IP, structure it into AI-native skill cards, and deliver it directly inside the AI tools teams are already using — via Model Context Protocol (MCP). No new apps. No new logins. No searching through docs.
Tools like Glean index your documents. They make it easier to find things that exist in writing. That's useful for retrieval — but it's not knowledge delivery.
Most expert knowledge was never written down. It lives in judgment calls, pattern recognition, and the shortcuts that only come from experience. And even the knowledge that was written down — in books, training materials, frameworks — doesn't surface through keyword search in a way that's actually useful.
Skill Refinery doesn't search your docs. It ingests expert IP, restructures it into AI-native cards, and delivers it as active guidance inside ChatGPT, Claude, and Copilot — right at the moment someone needs it.
"Glean indexes docs. Skill Refinery extracts expert IP — delivers it in ChatGPT & Claude."
"Glean searches what's written. Skill Refinery delivers what experts actually know."
Glean is a good enterprise search tool. But enterprise search and knowledge delivery solve different problems. Here's where they diverge.
| Capability | Skill Refinery | Glean |
|---|---|---|
| Delivery mechanism | Inside ChatGPT, Claude, Copilot (MCP) | Separate search interface |
| Knowledge type | Expert IP — books, frameworks, methodology | Indexed organizational documents |
| New app required | No — works inside existing AI tools | Yes — separate platform + logins |
| Source docs exposed to AI | No — source docs stay protected | Yes — ingested directly into model |
| Enterprise minimum | No seat minimums | $50+/user/mo, 100-seat minimum |
| Time to deploy | Weeks | Months of IT setup |
| Author / creator revenue | Yes — paid per interaction | No |
Books, course transcripts, proprietary frameworks, interview archives — we extract the knowledge structures, not just the text. The source documents stay protected; they don't re-enter the AI training loop.
Expert IP is restructured into AI-native skill cards — queryable, contextual, and verified. Three core MCP tools: search_skills, get_skill, list_skills — published and live.
Via MCP, your skill cards surface directly in ChatGPT, Claude, and Copilot conversations. Your team asks a question, they get expert-verified guidance — not a generic AI answer, not a link to a document. The real thing.
You have decades of institutional knowledge locked in your people and documents. Skill Refinery surfaces it where your team actually asks questions — inside AI tools — without an IT project or a 6-month rollout.
You wrote the book. Now your readers can get your methodology delivered inside ChatGPT — paid per interaction. A new monetization layer on IP you've already built, with zero ongoing work.
Your methodology is your moat. Skill Refinery makes it accessible to clients and internal teams through AI — without exposing your source IP or requiring custom software builds.
Whether you're an enterprise L&D team, a published author, or a consulting firm — Skill Refinery deploys in weeks, not months. No new apps. No seat minimums. Let's talk.