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Educate.

Practical AI training built around your team's work.

Who it's for
  • Teams
  • Schools
  • Research groups

Learn to use AI on the tasks your team actually does.

We design training around participants' roles, experience, and access to tools. Sessions can cover research, writing, data analysis, workflow automation, or the foundations of working with AI assistants.

Demonstrations and guided exercises give people a chance to try the tools and examine their outputs. We cover limitations, data handling, and review alongside the techniques, with materials participants can refer to afterward.

Who's taken part

People from these institutions have joined our workshops and webinars.

  • Harvard University
  • Columbia University
  • University of California, Berkeley
  • University of California, Los Angeles
  • University of California, San Francisco
  • University of Michigan
  • Duke University
  • Carnegie Mellon University
  • New York University
  • Boston University
  • University of Washington
  • The University of Texas at Austin
  • University College London
  • University of Toronto
  • McGill University
  • and others

Formats

  • Half-day workshop
    A focused topic for a small group, with demonstrations, guided practice, and time for questions.
  • Two-day intensive
    Multiple topics built around your team's projects, with exercises adapted to participants' roles and experience.
  • Curriculum design
    A course your own people can keep teaching. We build it with you and co-teach the first cohort.
  • Lunch-and-learn series
    Short recurring sessions on specific tools or workflows, at a frequency agreed with your team.

Outcomes

  • A shared understanding of AI
    A practical basis for discussing capabilities, limitations, and where human review is needed.
  • Examples relevant to your work
    Exercises in the tools your team uses, from research and writing to analysis or automation, depending on the session.
  • Take-home reference materials
    Instructions and examples your team can return to as they apply what they've learned.
  • Next steps for practice
    Suggested tasks to try, with checks to help participants assess the results.

How we work

  1. 01

    Discovery

    A free 30-minute call to discuss what you're working on and whether we can help.

  2. 02

    Scope

    A written proposal with deliverables, timeline, and price. You approve it before any work starts.

  3. 03

    Deliver

    We deliver the agreed work and review progress with you at each milestone.

  4. 04

    Handover

    We provide the agreed materials and handover. Any ongoing support is scoped with you.

Get in touch

If you're not sure what to do about AI, start here.

Book a discovery call. Thirty minutes, no charge, to discuss what you're working on and whether we can help.

Book a discovery call

Other services

Strategize

A roadmap for where AI fits, what to prioritize, and how to proceed.

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Implement

AI workflows, agents, and local deployments, with testing and handover.

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