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SOP Chatbot: Instant Answers From Your Own Procedures

Nadav Oxenberg 2026年09月07日 02:21 0 次阅读 来源:Dev.to

Every small business has one person who is the office search engine. Where is the refund form. What goes in the Friday report. Which supplier do we use for rush jobs. The answers are written down somewhere, but asking that person is faster than finding them, so the questions keep coming and that person never gets a full hour of their own work. An SOP chatbot fixes exactly that. Staff type the question, and the bot answers with the steps from the procedures you already wrote, and shows which document it took them from. Nothing else. This article explains how that works using one picture, shows two bots we actually run, and is honest about what the bot will never do. The box Picture the AI as a very capable temp worker who shows up every morning with no memory of your business at all. Not the address, not the prices, not how you handle a late delivery. Smart, fast, and completely blank. Before you ask them anything, you hand them a box. In the box are your documents. The rule, taped to the lid, says: answer only from what is in the box, and if the answer is not in the box, say so. That box is what people in the AI world call the context. Everything the bot knows about you at the moment it answers is what you put in the box for that one question. It does not learn your business over time. It reads the box, answers, and forgets. Next question, new box. Two things follow from this picture, and they explain almost everything about SOP chatbots. The box has a size. Anthropic, the company behind the Claude models, says in its engineering write-up on contextual retrieval that a knowledge base under about 200,000 tokens, roughly 500 pages, can simply be included with every question, with no extra machinery. Most small businesses have far less than 500 pages of procedures. So for most of you, the whole manual fits in the box every time. If the manual is bigger than the box, someone has to pick. Then a librarian step runs first: it reads the question, pulls the few pages that m

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