AI WORKFORCE DEVELOPMENT

In-person workshop

AI 101, then Claude, ChatGPT, and Lovable.

One room, your people, our forward-deployed educators — a three-hour Friday session, mornings 9–12 or afternoons 2–5. We start with the vocabulary, then work through Claude, ChatGPT, and Lovable, build something real, and end by sharing it.

  1. LessonChapter 01

    AI 101 — the vocabulary first

    What an LLM actually is, tokens, context windows, models, and hallucination. The shared vocabulary your team needs before any tool makes sense — so nobody evaluates something while half the sentence is jargon.

  2. LessonChapter 02

    Claude — precision and memory

    Long documents, careful writing, and Projects with memory. Where precision and tone matter more than speed: drafting, redlining, and working with context that persists across a conversation.

  3. LessonChapter 03

    ChatGPT — the general-purpose assistant

    Drafting, analysis, and code — the default most people reach for, used well. The right prompt structure, smart follow-ups, and the judgment to know when it’s the right tool for the job and when it isn’t.

  4. LessonChapter 04

    Lovable — vibe coding, the right way

    How software actually comes together — front end, backend, data, APIs — and a guided session with Lovable: describe a small app in plain language, watch it generate, and learn to steer a builder toward something usable.

  5. Build

    Build — the hackathon

    The workshop stops being watching and starts being work you keep. Attendees pick a real problem and build a small internal tool — a form, a tracker, a workflow — with AI in the loop and our forward-deployed educators circulating.

  6. Share-out

    Share-out — what we built

    Everyone shows the group what they made: the prompt, the tool, the output, and what surprised them. The day ends with each person leaving with something real, not just notes.