LLMs and tokens
We explain large language models, what a token is and how token usage affects cost and the amount of material models can handle.
Enterprise Education
Help your team understand the tools they are using and make informed decisions about where AI belongs in their work.
We explain large language models, what a token is and how token usage affects cost and the amount of material models can handle.
Your team practises writing prompts and checking responses.
We explain the differences between agents, agentic workflows and AI workflows through examples of familiar work.
We show how reusable instructions in skills and additional tools in plugins can support repeated tasks.
We prepare a customised curriculum with your leadership team and agree the agenda before the sessions. Brandon and Myles lead the training, drawing on the team’s financial services, corporate and practical AI engineering experience.
Your team tries exercises for personal and professional use, such as planning a trip or preparing for a client meeting. We choose workplace exercises with leadership and use information that is appropriate for the session.
Participants work with the tools during training, compare results and discuss where their own judgment remains necessary.
We offer two sessions over two days, two separate one-hour sessions or a combined two-hour session. Shorter formats focus on selected topics, while two days allow more practice and discussion. We agree the format and curriculum with your leadership team.
We sit down with employees and leadership to apply the learning to their work. Together, we review progress, work through questions and identify opportunities for further training or changes to how the firm operates.
Next Steps
We can help you identify opportunities for AI, prepare your team or discuss an implementation. You can bring questions at any stage, whether your firm is new to agents or already uses them.
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