LLM bootcamp + design sprint

Choose this when

• The team needs a shared baseline before building AI features together
• You have a workflow in mind and want to prototype against real constraints
• You want to move beyond prompt demos into product and evaluation thinking
• You need a fast way to expose risks before committing engineering time
• You already picked the workflow and do not need a broader strategy workshop first

What the day is for

By fluency, I mean the team understands what LLMs are good at, where they fail, and how those limits affect product, design, and engineering choices.

This format works best when the team already has a concrete workflow, audience, or product surface in mind. The goal is not abstract AI education. The goal is to help product, design, and engineering make better decisions together and leave with prototype directions worth testing.

How the day runs

1. Morning bootcamp on capabilities, failure modes, evaluation, and the product patterns that actually survive production
2. Midday framing of the target workflow, user, and what success should look like
3. Afternoon sprint to generate concepts, cut weak ideas, and prototype the strongest directions
4. Review feasibility, evaluation, risks, and next experiments

What the team leaves with

• Shared vocabulary and a better mental model for LLM product work
• Prototype directions in a usable format such as flow sketches, prompt structures, Figma-ready interaction ideas, or lightweight demo specs
• Evaluation criteria for what is worth testing with users
• A short path from concept to production-minded follow-up work

Prep that makes it effective

• Send a 1-page brief covering the user, workflow, goal, and what breaks today
• Sample data or representative inputs, redacted if necessary
• Known edge cases, policy requirements, or quality concerns
• Decision-makers who can narrow options during the sprint

This is not the right format if

• You still need to decide which workflow or use case matters most
• You are looking for a generic AI education session with no real product context
• You need strategy alignment first, not hands-on concept work