AI training
From chatbot to agent.
Most people use AI the same way: type a question into a chat box, get an answer, done. That’s a start. But the model only knows what it was trained on, and it knows nothing about your business. Training takes you to the next step: AI connected to your own data, doing real work, with you approving what matters.
Training works best with the person who holds the big picture, the one who can say how everything fits together. Someone in a narrow role only gets a summary of your vision. So sessions are for one owner or manager, or for a team, and we work on your own business.
A chatbot
You type, it answers. It works from what it learned in training. It can’t see your sales, your schedule or your books.
[ text in, text out ]An AI agent
Connected to your data and tools. It can look things up, draft the work, and with your okay, get it done.
[ tools · data · approval ]Two formats
For an owner or manager. We work on your own business, at your pace. Like I did in the classroom, I assume nothing.
A session for the people who run your shifts, books and orders, so everyone works from the same picture.
Example sessions
Start with the ideas. The tools come later.
- What changed. Chatbots answer questions. Agents connected to your data and tools can do things, with your okay. We talk through what that difference means for a small business, in plain words.
- Put your data in one place. An AI can only work with what it can read, and most small businesses keep information in notes, inboxes and habits. We decide what to gather first and where it should live.
- Talk to your business. Once your records are in one place, you can ask them real questions about your own sales and schedules. We practice asking, and we practice reading the answers with some skepticism.
- The trust ladder. Let AI read first, then draft, then act with your approval. You move up a step only when the last one has earned it.