
This course is for leaders, managers, and People Management professionals who want to start using AI in a useful way in their daily work — no technical background required.
If you've ever asked AI for something and the response didn't work for you, this course exists to fix exactly that. In three 30-minute modules, you'll build the three assets that stop AI from responding like it's meeting you for the first time every time: your context brief, your first templates, and a clear criterion for reviewing any output before you use it. These aren't academic exercises — they're tools you'll use the day after you finish the course.
In this video, you'll understand exactly why AI sometimes produces generic responses, and what that means for your daily work. You'll also see what AI is good for and what it isn't — because using it well starts with getting that clear.
You already know context changes the outcome. Now the question is: which specific tasks in your role does that matter most for?
In this video, you'll see the five types of tasks where context completely transforms the output — writing, planning, coordination, documentation, and upward communication — with real before-and-after examples for each.
By the end, you'll know exactly where to start applying what comes in the next module.
Task
Identify which of the five cases apply to your work today, and where AI output hasn't been serving you well. Sort them by type: writing, planning, coordination, documentation, or upward communication.
That list is your deliverable for this module and your starting point for building the context brief in the next module.
Context matters, but there's another mistake just as common: expecting the first output to be perfect.
In this video, you'll understand why AI works better as an iteration system than as an answer generator — and how to build on what you already have instead of starting from scratch every time. With a simple one-question mini framework, you'll be able to improve any output in two or three steps until it's ready to use.
Task
Take the example you brought from Video 1 — the situation where AI's output didn't work for you — and try iterating on it instead of rewriting the prompt from scratch.
Apply at least two consecutive adjustments to the same output and see the difference. Bring that result to the next module.
The context brief is the document that explains to AI who you are, the context you work in, and how you expect it to respond. You write it once, save it, and paste it at the start of every conversation — or use it to build a custom instruction so AI works with your reality.
In this video, you'll see what goes into each of the five blocks — role, team, current priorities, tone, and constraints — with concrete examples for each. You'll also understand what information should never go into an AI conversation, and how to handle that without limiting how you use it.
Task
Use AI to draft your context brief. It doesn't have to be finished yet — having a draft of the first three blocks is enough to be ready to complete it in the next video. Bring that draft to Video 2.
In this video, you'll see the complete context brief for Laura, a People Coordinator at a tech company, with all five blocks ready and explained. As you watch, you'll build your own.
By the end, you'll test it with a real task — comparing the output with and without context — so you leave the module with a document ready to use tomorrow.
You'll also understand what information should never go into an AI conversation, and how to handle that without limiting how you use it.
The most useful context brief isn't the one that took you the longest to write — it's the one that's up to date and ready to use.
In this video, you'll see how to get AI to interview you and build your context brief for you, how to keep it current without rewriting anything, and why pasting your context into every conversation is just the first step — not the final one.
The principle is simple: habit first, automation second.
Every time AI gives you a good result and you don't save it, you're losing something valuable. An output template is exactly that: the prompt that worked, the expected format, and a reference example, saved so you can reuse them without redoing anything.
In this video, you'll understand what an output template is, its three parts, and how to identify the two you should build first — using three questions about your actual work this week.
Task
Identify the 2 tasks in your role that repeat most often and where AI's output has been hardest to calibrate. Those will be your first two templates in the next video.
In this video, you'll see two output templates built from scratch — one for Ops and one for leadership — and you'll build your own at the same time using the tasks you identified in the previous video.
You'll also learn what to review in any output before using it, with a 4-point checklist that takes less than 2 minutes.
By the end of the module, you'll have your first reusable assets saved and ready to go — plus clarity on how what you built can scale beyond you to your team.
Creating good templates is half the work. The other half is being able to find them when you need them.
In this video, you'll see why most people stop using their prompts — and how to avoid that with a minimal structure that fits in a single document. No folders, no categories, no complexity. Just what you need to have your assets available in under 10 seconds, every time.
Task
Create a single document with your templates organized — name, purpose, base prompt, and example. Put it where you work every day, not in a course folder. You can also create a project for each prompt as an instruction. That's your starting system.
You already have your context brief and templates. That makes you faster. But there's one more shift — and it's the most important one: moving from using AI just to execute, to using it to think before you act.
In this video, you'll see how to apply that shift in real leadership situations — difficult feedback, process design, upward communication — and how to move from asking AI for things to co-creating with it. It also covers the most common risk at this level: delegating judgment when you shouldn't.
Example 1: You use a template → you generate a clear message
More advanced use:
Before that, you ask AI:
"What could create resistance in this feedback?"
"Which part should be more empathetic?"
"How do I avoid this sounding confrontational?"
Only then do you use the template
Example 2 — designing a process:
You're building an onboarding plan.
Instead of: "Create me a plan"
You do this:
"What should a new person understand first?"
"What sequence makes the most sense?"
"What common mistakes should they avoid?"
"How would you measure if they really understood it?"
Then:
"Turn this into a reusable template"
You went from asking → to designing → to systematizing
Task
Pick a leadership task you have pending this week — feedback to give, a decision to make, a process to design. Before doing it, use AI to think: ask it three questions about the situation before asking it to draft anything. Notice the difference in the quality of what you produce afterward.
You have your first templates. Now use them as a starting point for something more efficient: asking AI to build, improve, and evaluate them for you.
In this video, you'll see three concrete prompts you can apply right now so your templates improve on their own with use — without rewriting anything from scratch.
Prompt 1
I have a task I repeat several times a week: [describe the task in 2 or 3 lines]. Build an output template with: a base prompt with variable fields marked, the expected format, and a review criterion to check before using the output.
Prompt 2:
This is my current template. The output it generates is too long and the tone isn't direct enough. Improve it.
Prompt 3:
This is the template I built. Is there anything ambiguous in the prompt that could generate inconsistent outputs? Is any variable field missing? Is the review criterion clear enough?
You finished Level I with a working context brief, tested templates, and a clear criterion for reviewing any output before you use it.
In this video, you'll see exactly what's changed in the way you work with AI — and what's still left to solve.
Because what you built in this level is yours. In Level II, it starts becoming your team's.
This course contains the use of artificial intelligence. It is designed for team leaders who want to get the most out of AI as their core communication and productivity tool.
If you've ever asked AI for something and the response was correct but useless for your actual situation, this course exists to fix exactly that.
In 2026, AI already has memory, learns from your conversations, and is available in any tool. The problem isn't access. It's that most leaders never give it the right professional context to work with their reality — and that produces generic outputs you end up rewriting almost entirely.
This course teaches you to change that in 1.5 hours.
Across three self-paced modules, you'll identify where AI has the biggest impact on your specific role, build your personal context brief — the document that explains to the tool who you are, what you prioritize, and how you work — and create your first reusable templates for the tasks that repeat most in your week.
This isn't theory. At the end of each module, you have a concrete deliverable ready to use the next day.
It works with any tool — ChatGPT, Claude, Gemini, or others — and with any plan, free or paid.
No prior AI experience or technical knowledge required. You just bring your real work context. That's exactly the input we'll be using.