Andrew Azevedo

Most of what our profession hears about artificial intelligence is either hype or alarm. This seminar is neither. Consumer apps can already hold a conversation with someone and generate a personalized hypnosis session with no hypnotist involved which means the question in front of us is not whether this is coming to our field. It is who it is being built for. This seminar is a plain-language tour of one answer: a working system built over a year by a practicing consulting hypnotist, designed to serve the hypnotist rather than replace one. An AI-assisted intake that talks with a client and turns what they said into a session plan. Imagery built from that client's own words rather than a template. Between-session work generated from what actually happened in the room. You will see what it produces, including where it got things wrong and what had to be built to catch that. We will look closely at the line that matters most: the system suggests, the hypnotist decides, and the software is built so it cannot cross that line even if someone wants it to. No technical background is assumed and nothing is for sale. The aim is that you leave able to judge any AI tool put in front of you, and with a clear picture of what this technology can and cannot do for ordinary, everyday people with ordinary, everyday problems.

Most of us leave certification able to do the work and with no idea how to build the business around it. The niche, the offer, the website, the marketing, the legal, the systems to which that half is rarely taught anywhere. This session is a worked account of building all of it in a single summer, using AI as a working partner rather than a novelty. Certificate to paying clients: what got built, in what order, what it cost, what had to be redone, and the two things that broke badly enough to be worth your time. It is a working session, not a lecture. You will apply the same five-step method to a real decision in your own practice and leave with your niche statement and your offer drafted and pressure-tested. The method is platform-agnostic and works with whatever tool you already have open. The account includes the failures, including the one that mattered most: the places where AI produced something that looked completely finished and was wrong. Nothing is for sale here, and the last section is about the work that does not get handed to a machine.