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Build an AI knowledge base that answers from your own files, catch it when it makes things up, and hand your whole team a single source to ask.
In an afternoon you build an AI that answers questions from your own documents and shows you the line each answer came from.
Most first attempts fail in the same four places. The scope is "all our docs", so three versions of the price list arrive at once. The documents are one long handbook the search cannot aim at. The questions are loose, so the answers come back as philosophy. And nobody checks the citation until a wrong one has gone out to a client.
This course closes all four in order, then hands the thing over: where the documents are allowed to live, what comes out before you share, who owns it, and the one habit that stops it rotting. It carries a drill on five over-wide knowledge bases, a decision scenario on an answer that cited the wrong clause, and a mission that ends with one teammate using it.
You walk away with a working knowledge base built on your own documents, and a process you can repeat the next time knowledge gets trapped in somebody's head.
Founders: want an assistant that answers from real company files instead of general web knowledge.
Operators: are tired of fielding the same questions and want one place the team can ask.
Consultants: want scattered client documents turned into something they can query in seconds.
This course is part of the academy's invite-only offering.
Access is granted by the academy after you join.