Turn Your PMs Into AI-Native Product Builders
Chakkaradeep Chandran
Principal AI Product Leader at GoDaddy · ex-Microsoft
Your best ideas shouldn't die waiting on engineering
Your PMs still describe the future in docs and static mockups, then wait on an engineering sprint to find out if the idea was even right. Meanwhile, a new toolchain has quietly collapsed the distance between an idea and something real: with Claude Design, a PM can design the screens, UI, and flows; with Claude Code, they can turn those into a working, clickable prototype in days, before a single ticket is written.
The teams that rewire how their PMs work around this pull ahead. The ones treating AI as "everyone prompt a little better" don't. I help you be the first kind - going deep on the two tools that actually make it happen, not surveying twenty.
Who this is for: Product managers and product teams tired of good ideas dying in the backlog. You're technical enough to be dangerous and you've played with AI tools, but you haven't turned that into a repeatable way your team designs, builds, and validates. This is built for the PM function specifically, not an engineering enablement program.
What you get: A hands-on 3-hour working session where your PMs bring one real idea and we run the full loop on it together, live:
Spec with AI: Turn a rough idea into a sharp, testable spec in minutes.
Design with Claude Design: Produce real screens, UI, and flows, no designer needed.
Build with Claude Code: Turn those screens into a working, clickable prototype.
Get it validation-ready: Leave with something real enough to put in front of users that same week.
Decide faster: When you can see it and click it, you can call it. Direction, not just documents.
You walk away with a working prototype you designed and built yourself, the repeatable Claude Design <→ Claude CoWork <-> Claude Code loop to run again without me, and a clean handoff line to engineering.
Why me
I'm a Principal AI Product Leader at GoDaddy, where I build AI integrations and products that ship to customers and scale in production - real features in real hands, not demos. Over the past few years I've helped take generative and agentic AI from idea to shipped product at scale. Before GoDaddy, I spent a decade at Microsoft shipping across PowerPoint, SharePoint, and Visual Studio.
And I build with Claude Design and Claude Code myself, every day, not in theory. So this isn't AI literacy from the sidelines; it's the actual workflow from someone who ships AI at scale, including the parts the blog posts skip. Straight to the point, no going around the bush.