Guide · Workshops
What a good ChatGPT workshop actually covers.
For engineering leaders booking or running a workshop for the team. What to cover, what to skip, and how to measure whether it worked.
7 min read · Updated January 2026
The frame: teach the muscle, not the trick
A workshop that leaves your team excited but unchanged next week is a failure. A good one leaves them with one closed-loop workflow in production and a rubric for the next ten.
Cover this
- Reading your actual codebase together for the first 90 minutes.
- Writing an eval rubric your team agrees on before any code is written.
- Hard per-run cost caps on anything agent-shaped.
- One real workflow, end to end, in production before you leave.
Skip this
- Vendor slide decks about how big the model is.
- Prompt-library tours. Prompts are downstream of the workflow.
- Anything that assumes your team will read the docs later.
How to measure it
Two weeks after the workshop, the team has shipped at least one ChatGPT-in-the-loop workflow to production, and they can explain in a paragraph why it works. If they can't, you bought a training, not a coaching engagement.
FAQ
Questions we actually get.
- How long should a ChatGPT workshop be?
- One to two days for most teams. Half a day is enough for an intro; three days is only justified if you're standing up production agents that week.
- In person or remote?
- In person for teams under 20 who are just starting. Remote is fine for follow-up sprints once the muscle is there.
- How do we know it worked?
- You have a written eval rubric the team agrees on, a shortlist of what to ship next, and one closed-loop workflow running in production.
- How much should it cost?
- A private one-day custom workshop starts near $4,500. Per-seat cohorts run from $2,500. Anything much cheaper is usually a slide deck.
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