For your staff
Turn fictional meeting notes into a draft update. Check the names, dates, missing decisions, and what needs a person's approval.
See the review approach →I'm George Cousineau. For 25+ years, I've led software development teams and built useful systems. I bring that practical perspective to AI learning for staff, students, and small business owners: start with a useful task, understand the tools, and check the result.
The best result is more than a finished task. It is a person who understands what they made—and feels ready to try the next thing.
Looking for someone to teach your staff, students, or business community how to use AI? Let's discuss learning built around their experience and the work they want to do. These are possible activities, with examples of the approach in the free lessons.
Turn fictional meeting notes into a draft update. Check the names, dates, missing decisions, and what needs a person's approval.
See the review approach →Compare two AI responses to a classroom task, identify unsupported claims, and improve the answer. Start with approved tools and school policies, with an educator guiding their use.
See how to compare tools →Draft a product description from a fictional product's verified details. Capture your preferred voice and make sure the draft invents no benefits or delivery promises.
See a reusable playbook →The most exciting part of AI is the moment someone realizes they can make a tool, improve a workflow, or bring an idea to life—and still understand and own the result.
Begin with the task already taking too long, then find the smallest useful way AI or automation can help.
↗The goal is better judgment and clearer accountability—not a black box making decisions for people.
↗Give more people the tools to build software, streamline work, and create things that once felt out of reach.
↗This is the teaching approach behind the lessons: small steps, room to ask questions, and a result the learner can inspect.
Name a useful task and explain the next step in plain language.
Work with a small example and let learners direct the tool.
Check the facts, notice what is missing, and decide what is ready to use.
Revise the result and keep the instructions that help next time.
A fictional staff update shows the kind of small, useful lesson I want people to take away: compare the answer with the evidence before you use it.
Flyer wording approved. Sam owns printing.
Launch date not agreed. Printing cost still needs checking.
Approval is not the same as printing. Friday is a date the notes never supplied.
Sam is responsible for printing. Confirm the cost and launch date before making a commitment.
“Compare this draft with the notes. Which claims are unsupported? Rewrite it using only verified facts, and list what a person still needs to decide.”
The useful habit is checking the gap between source and answer. You can apply it to a staff update, a classroom resource, or a customer reply.
Three starting points from the learning path. Pick the one that matches the work you want to do.
Practical ways teachers, small teams, and independent business owners can reclaim time and move ideas forward.
Notes from designing useful automation with a human responsible for the decisions that matter.
Make a three-task desktop app with a focus timer, guided prompts, and small checkpoints you can test.
If you want to help a group take a practical step with AI, I'd be glad to hear what they need. We can discuss a starting point that fits their work and experience.
Tell me who the learners are, one task they want to try, their current experience with AI, and which tools your school or organization approves. Use a fictional or anonymized example for the task.