A four-week series for your team. Skip the hype. Build the foundation.
Start a conversation →This series is different. Over four weeks, your team learns the underlying thinking that makes AI useful: how the models work, how to prompt them, how to keep your data safe, and how to redesign the work itself once AI is in the picture. By the end, your team will be able to make good decisions about AI — which tools to adopt, which to ignore, which workflows to change, and which to leave alone.
We use Claude as the teaching tool because it's the strongest foundation model for the kind of work most teams need to do, but the underlying skills transfer to ChatGPT, Microsoft Copilot, Gemini, and other contexts.
We build with AI every day in our own work. Our proposals, our research, our internal tools — Claude is in all of it. We're teaching what's working for us and our network this week, not what's in a textbook.
Claude basics and effective chat. How models work, what they're good at, where they break, and how to have a productive conversation with one. We cover the difference between a useful prompt and one that gets you confidently wrong or generic answers. The key is applying your expertise effectively.
Cowork, skills, and connectors. How to give Claude access to the work your team already does — documents, data, tools — without losing control of it. By the end of the session, you can connect to tools you already use to create simple workflows that save real time each week. In this session, we start to customize to your specific tooling.
Prompting for research and custom content, plus data quality and security. How to use AI for the work that takes the most time: synthesizing information, drafting communications, building reusable assets. Paired with a clear-eyed look at what you should and shouldn't put into a model. This is where the advantages for your specific business model start to surface.
Workflow evaluation and redesign. By now your team has hands-on experience with prompts, tools, and skills, so we can talk about agents that run on a schedule. This session is about looking systemically at how the work flows in your business and deciding where AI makes sense — with ROI in mind.
Four sessions, once a week, 90–120 minutes each. Onsite at your location, taught by a Kinetic Change co-founder. Up to 20 people per cohort.
The sessions are hands-on and interactive, which is why we do this in person. We're one of the few agencies that still teaches this way. Online would be more profitable for us, but human support is what makes the learning stick. In-person is also how a team builds shared fluency rather than a handful of individual users running ahead.
Slow is smooth, smooth is fast.
The pace is calm and deliberate, which is why teams come out of it making fewer mistakes and moving faster on the work that matters.
Plan on roughly two hours of homework between sessions. The homework is real practice on real work, not exercises. People who skip it get less out of the class; we'd rather tell you that up front than oversell what passive attendance produces.
This class is designed to stand alone. Your team will leave with skills they can use right away whether or not we ever talk again.
That said, most teams finish the four weeks with a clearer picture of where AI could help — and a longer list of questions than they started with. If that's where you end up, we offer ongoing advisory work focused on identifying the highest-value AI opportunities in your operations, and occasionally we run longer immersive engagements for teams ready to go deeper. We can talk about that when you're ready.
Kinetic Change is run by Erika Lenz and Fayoké Longe. We build with AI together every day — for our business, for client work, and for fun. What we teach is what we actually use.
Erika has spent fifteen years helping organizations navigate big technology changes — as an agile coach, product leader, and transformation consultant at companies from startups to Fortune 100s. She has led agentic AI programs at scale, co-founded WhisperQuake (a healthcare AI company), and runs Denver's Human-Centric AI meetup.
Fayoké comes to AI from twenty years in design and strategy — work that requires translating other people's thinking into something concrete enough to ship. She's built brands, campaigns, and digital infrastructure for organizations ranging from small businesses to Fortune 500s. She's taught and built curriculum for the Denver Public Library and continues to write on design futures.