Pre-kickoff check-in

I can structure compound, multi-step prompt chains for real work — not just one-shot prompts.

I deliberately pick the right model + harness (Claude Code / Design / Project, Figma Make / AI) for the task, not by habit.

I can clean a messy backlog using AI — extract themes, dedupe, cluster, map to features — at scale.

I can build a reusable Claude Skill that packages a workflow my team can invoke.

I draft PRDs / specs with AI as a collaborator and arrive at sharper outputs than I would alone.

I can use my Design System as a guardrail when generating with AI — tokens, refusal patterns, the Critic.

I can run an AI prototyping loop that produces DS-clean screens, not chaos I need to clean up.

I know when to reach for Figma Make vs Figma AI vs Claude Design vs Claude Code — and why.

Where are you today on your AI-adoption arc?

Read each stage. Pick the one you'd actually describe yourself as this week — not where you wish you were.

In a normal work week right now, what do you actually use AI for?

By the end of Level I, what's the one workflow or problem you most want to have changed?

What are you hoping to get out of this?

Pick the top 3 in order — 1 = most important. (Same list you'll rank again at the end — that's how we see if we delivered what you came for.)

One real thing from your actual work — a messy backlog, a thorny design problem, a workflow that drags — you'd like to bring into the cohort?

Anything you're skeptical about going in?