Complete practical guide
The chatbot manual that starts with an appointment that never existed
37 chapters, 68 resources and 148 AI prompts on building and supporting chatbots for small businesses — including the four things about this trade that no course mentions.
Look inside — read the first chapter freeOne payment, USD. Yours permanently — no subscription.
What this guide is
Anybody can put a chat widget on a website in an afternoon. This book is about everything that decides whether what it says is true: the dental practice bot that told a patient their appointment was Thursday at ten past three, when it was Tuesday — an invented time, stated with complete confidence, one of eleven similar inventions over three weeks that nobody caught because nobody was reading. And the plumbing company bot that at eleven on a Sunday night cycled a customer with water coming through a ceiling through FAQ options, with no route to a human anywhere in it. It covers question audits, knowledge bases with sources and owners, conversation and refusal design, handoff specifications tested at a weekend, adversarial testing built from real customer phrasings, quiet launches, and the weekly transcript review that is the actual service. Every financial figure is blank, because no published rate accounts for how many answers must be written from scratch or how long a week of conversations takes to read.
What you get out of it
Specifics, not promises.
- A question audit that produces the one number the price rests on — answers that must be written from scratch
- A knowledge base where nothing enters without a source, a named owner and an approval date, handed over as a document the client owns
- A handoff specification agreed before anything is designed and tested during hours, outside hours and at a weekend
- Refusal wording approved in writing by a named person, because it is the sentence the business gets judged on
- An adversarial test set with false premises and compound questions — and the rule that a pass finding nothing was not adversarial enough
- The grounded answer rate: the master variable, with refusals and handoffs counted as correct behaviour rather than failure
- 148 prompts that never ask a model to write a knowledge base answer — and explain why a confident generated one is the exact failure you were hired to prevent
Ideal for
People with a job, a few evenings a week and very little to spend, who are willing to read every conversation a bot had last week and tell a client plainly what is in there. Anybody who has put a chat widget on a website knows a tenth of this; the rest is what changes when the thing is answering in somebody else's name, to their customers, with nobody checking.
- Anyone with a job and a few evenings a week who wants to do this properly — including people already installing chatbots who have never had a name for why nothing ever tells them the thing said something untrue.
What's inside
Format
- Digital download, delivered instantly after payment
- Formatted for letter paper — read on screen or print it
- Yours permanently, re-downloadable from your library any time
- Licensed for use in your own business
By the end you can
A question audit that produces the answers-from-scratch count the price rests on, a knowledge base where every entry has a source, a named owner and an approval date, a handoff specification agreed in writing and tested during hours, outside hours and at a weekend, refusal wording approved by name, an adversarial test set built from real customer phrasings and re-run after every change, a quiet launch with a fortnight of daily reading, a weekly transcript review with the minutes recorded, and a scorecard led by the grounded answer rate and the count of supported bots unread in the last week.
A working manual for building and supporting chatbots for small businesses alongside a job — built around the four facts most chatbot advice leaves out: the bot speaks in the client's name unsupervised, it will confidently answer what it does not know, the handoff is the product and nobody scopes it, and only the failures are visible.
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