I build AI products from zero to one, and I teach others how to do the same.Over 12+ years, I've taken AI/ML products from proof-of-concept to launch at Amazon, Nike, T-Mobile, and Disney. The work I love most is early-stage: validating ideas, getting executive greenlight, and shipping MVPs that prove value before scaling. At Nike, that approach drove a $100M annual reduction in product returns.I also teach what I build. I co-created and lead the AI Product Management Certificate at the University of Washington, where experienced PMs ship real GenAI products complete with evaluation plans and GTM strategies. Previously, I trained 4 cohorts at Product School.What I bring: the ability to translate messy AI capabilities into clear product value, align technical and business stakeholders, and move fast without breaking trust. I write about AI PM craft at aipmguru.substack.com.I'm currently exploring opportunities to lead 0→1 AI product work at companies solving meaningful problems. I'm especially energized by AI in healthcare and education, though I'm open to any domain where the product can genuinely improve lives. 

Hemant Bothra and I are running an in-person workshop where we're going to build something together - in the same room, like the old days.

3 hours. You'll leave with a working tool.

No coding experience needed (you read that right). We'll use Cursor (an AI coding assistant) and walk through everything step by step. If you've ever been curious about "vibe coding" but didn't know where to start, this is it.

Good fit if you're a PM who wants to actually build things, or just someone who learns better by doing than watching.

Shaili Guru

AI/ML Product Leader | Driving Innovation with AI | PM Mentor and Advisor

Open article: Build Your First AI Tool: ChatGPT Output Cleaner Workshop · Luma by luma.com

Build Your First AI Tool: ChatGPT Output Cleaner Workshop · Luma

Big AI lessons from the MD Anderson saga

They dropped $62M on an IBM Watson oncology pilot only to mothball it without going live. Why? Because building a true AI moat isn’t just about tech. It’s about mastering data, motion, and muscle memory.

Here’s what really matters:
✔️ Unique, usable, and ubiquitous data, if it’s not ready, neither is your AI.
✔️ Compliance and credibility, especially in regulated sectors, are your foundation.
✔️ Fast retraining via user feedback creates unstoppable AI flywheels.

Most AI projects fail because they overlook these layers. The key? Fix the weak spots, measure real lift, and prove your moat’s business value.

Don’t let your AI efforts become another costly lesson. Build from the ground up and turn your AI into an unstoppable advantage. 

Are you ready to create your AI moat?

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