One-on-one AI tutoring

Set up scheduled inbox reviews and a reusable skill that drafts replies in your voice, using tools that support them. The AI reads the long threads and sums up what people are asking, so your inbox is easier to digest. You review priorities and drafts, decide what to do, and send the messages.

What you learn: how to set up a system that divides the work between you and the AI. It reads and drafts; you decide.

With participants’ consent, turn meeting audio into a transcript, then extract decisions, ideas, and action items. Keep that information as context for your team’s future work.

What you learn: how to use audio as context. Anything said out loud, from a meeting to a voice memo, can become material the AI works from.

Find the tasks where you or your staff copy the same information between files, forms, or tools. Practice cleaning and comparing data in your own spreadsheets. Where it makes sense, set up a repeatable process or an automation, and check that it works.

What you learn: how to spot the repetitive work in your week and hand it off, with checks in place.

Draft the documents your business produces again and again, such as proposals, reports, procedures, and letters. Work from your own templates, past examples, notes, and data, and check every number and claim before anything goes out.

What you learn: how to give the AI good examples to work from, then review its draft the way an editor would.

Tell your AI who you are, what your business does, who your customers are, and how you like answers written. Give it the files it should always know, like price lists, policies, and samples of your writing. Decide what it may remember, which apps it can connect to, and what stays private.

What you learn: how context shapes every answer. The more your AI knows about your work, the less you have to explain.

Set up a wiki on your own computer with notes on your clients, projects, procedures, and decisions. Your AI looks things up in it and adds to it as you work, and you can share it across the AI tools you use.

What you learn: how to give AI a long-term memory, so you stop re-explaining your work in every conversation.

Set up recurring work that gathers current information, prepares a summary, or moves approved data between tools. We decide what can run automatically, what needs your approval, and how to notice failures.

What you learn: how to build a repeatable system with clear permissions and checks.