End-of-course 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.

Where has the training helped you most?

Pick the top 3 in order — 1 = biggest help.

What did you ship for your capstone? What was the moment it clicked (or didn't)?

Name one thing in your actual work that's different now — a workflow, a decision, an output — that wasn't before Level I.

Think of a task you now do with AI that you used to do by hand. What's the time difference?

A peer in product or design asks whether Level I was worth it. What's your one-sentence answer?

How likely are you to recommend this course to a friend in product or design?

How likely are you to recommend Prasad as a trainer to a friend or colleague?

Where do you want to go next?

Keep my words out of any marketing, even anonymised.

I'm open to supporting the programme — tick and I'll reach out with ways to help (a referral, a quote you can attribute, a short case study, a reference call).

Anything else for me?