Book 8 of 10 · Advanced Builder tier
Put your own data behind the AI so the answers are actually yours.
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General AI knows the world but not your business. This book shows you how to change that with RAG — retrieval-augmented generation — so an assistant answers from your documents, your policies, your knowledge, and cites its sources. It is the difference between a clever stranger and an assistant who has actually read your files.
It's honest that this is a step up in complexity from the rest of the series: understanding what RAG actually is, when it's the right tool versus fine-tuning or better prompting, and the real work of gathering, cleaning and preparing your own documents so an assistant can use them properly.
It closes with the parts that separate a working prototype from something you'd trust: evaluating whether answers are actually accurate, improving retrieval when they're not, keeping the underlying knowledge current, and the privacy, security and cost questions that come with putting your own data behind an AI system.
More technical owners and operators ready to build AI on their own knowledge rather than the internet's.
The kind of week each book is built to produce.
A multi-site retail or hospitality group
no visibility across locations, problems surfacing only at quarter-end. Moved to an automated daily performance digest across sites.
Cross-site visibility like this generally catches cost or performance drift earlier than periodic manual reviews would.
A regulated professional services firm (insurance, wealth management, legal)
meeting preparation and compliance documentation taking hours per client. Moved to automated pre-meeting briefings and post-meeting compliance summaries, still checked by a qualified person.
This kind of workflow tends to free up adviser time while keeping compliance sign-off firmly with a human.
Yes, honestly — this is where the series steps up. Every technique is still explained in plain terms, but basic comfort with tools and a willingness to get hands-on with your own documents helps more here than in Books 1-5.
Not required, but Chapter 7 ("Choosing Your Tools") is honest about which tools need a little technical comfort and which stay closer to no-code — you can pick your path there.
Ad hoc uploads work for a single conversation. This book is about a system that reliably retrieves the right piece of your knowledge every time, cites where it came from, and stays accurate as your documents change — Chapter 2 explains the gap in full.
