Practical AI for Managers
Lead the team through it, without becoming the help desk.
This course is for anyone with direct reports who is being asked, from above and from below, what the team should be doing about AI. You do not need to be the expert on your team. You need to set the frame, model the habit, and keep the judgment calls where they belong.
What it is
Six short lessons, each built around a job you already do: sorting your week, preparing for one-on-ones, writing things that land, setting norms, holding a routine. Every lesson has real prompt text you can copy, a worked example you can follow line by line, and a fifteen-to-twenty-minute exercise on your own team and your own calendar that ends with a result you can check.
What it is not
It is not a tour of products or a case for replacing anyone. It is not a policy document you forward and forget. The whole point is to hand the machine the parts of managing that were never the managing, so more of you is left for the parts that are: the conversations, the decisions, the standing up for people.
What you need
- One AI assistant you are allowed to use. ChatGPT, Claude, Gemini, or Copilot — whichever your organisation permits. A free tier is enough for everything here. Lesson 2 helps you choose; do not open four of them.
- An answer on what your organisation allows. Which tools are approved and what may never be pasted into them. If nobody has told you, ask your manager and your IT or security contact today — it usually takes a day to come back, and you need it before lesson 2.
- Last week's calendar and sent mail. Lesson 1 sorts your actual week, not a remembered one.
- A private notes file, and one file per direct report. Somewhere you control. The course builds a small kit across these files; without them each lesson evaporates on contact with a busy Tuesday.
- Three real pieces of work you owe someone — an update, a decision nobody wrote down, a message you have been avoiding. Lessons 2 and 4 use them as the exercise.
- About three and a half hours in total, in blocks of thirty to forty minutes, plus one hour with your whole team for lesson 5. Book that hour now; it is the only part that needs other people's calendars.
How to work through it
In order, one lesson a day if you can, and not more than two in a sitting. The lessons compound: lesson 1 produces the sorted list that lesson 2 runs through your context block, lesson 2 produces the context block that every later prompt assumes, lesson 3 produces the per-person notes files, lesson 5 produces the agreement, and lesson 6 puts all of it in a calendar. Skipping lesson 2 breaks the four that follow.
Keep three things open while you work: the lesson, your chosen assistant, and your private notes file. Every lesson ends with a Do this now exercise of fifteen to twenty minutes on your own material, and a line beginning You are done when that names what should exist in one of those files before you move on. If it does not exist, do not move on — reading the next lesson instead is how this becomes six articles you once read.
Keep your prompts in the notes file, not in your chat history. Chat histories are unsearchable within a fortnight and disappear when you change tools; a plain file of prompts you have actually tuned is the asset you keep. Paste each prompt in before you run it, and edit it in the file afterwards when you find the sentence that fixes it.
The toolkit page is the after. It holds every prompt from the course in finished form, the templates whole rather than described, and the routine compressed to something you can read before a meeting. Do not start there — the lessons explain which prompt is for which job, and the most common failure is a good prompt used for the wrong one. Once you have finished, the toolkit is the only page you need to keep.
By the end
- you can tell which parts of your week belong to the machine and which quietly depend on your judgment
- you can set up one assistant with your team's context so every draft starts from your situation, not an average one
- you can prepare for one-on-ones, coaching conversations, and hard messages with AI asking you the questions, while the conversation stays yours
- you can write a one-page working agreement on AI use that your team actually follows
- you can run a realistic week with AI in it and know what to protect from it
Lessons
- 01The manager's real job in an AI-shaped week
A sorting rule for what you hand the machine and what you never do, before you open a tool.
free · 30 min - 02Your operating context, and the five-minute setup
Pick one tool, tell it about your team once, and stop starting every draft from an average manager's desk.
subscribers · 30 min - 03One-on-ones and coaching, with AI as the prep partner
Use the tool to ask you the questions before the conversation, and never to have the conversation for you.
subscribers · 30 min - 04Writing that lands
Updates, decisions, and hard messages, drafted with AI and made unmistakably yours before anyone reads them.
subscribers · 30 min - 05The team's AI norms, on one page
Where a human must aim, review, approve, and take responsibility, written down with the team so it holds.
subscribers · 30 min - 06A week with AI, as a manager
A realistic routine, what to automate, what to protect, and the one question that keeps it honest.
subscribers · 30 min
The toolkit
- kitThe manager's toolkit
Every prompt from the course in its finished form, the templates it told you to build, the six exercises as a checklist, a one-screen reference, the resources worth keeping, and one manager's week start to finish.
subscribers - fileYour starter file
The one note file the course tells you to keep, already laid out: your context block, every prompt in its slot, the templates, the routine, and the six done-lines as a checklist. Markdown; opens in any notes app.
subscribers