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Stories, Scar Tissue, and Community: What You're Actually Paying For
Grounded / Real
Inflated / Uruttu
Original Content
I've been teaching in some form since I was 14. The biggest lesson it's taught me is: 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗹𝘆.
Which is actually great news right now. There's no shortage of AI courses out there. Different formats, different depths, different styles. You get to pick what fits how you learn.
🤔 𝗕𝘂𝘁 that raises a 𝗕𝗜𝗚 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: with so many options out there, including ones built with AI in a weekend, why choose my course?
Three reasons, and none of them are the curriculum.
1️⃣ 𝗧𝗵𝗲 𝘀𝘁𝗼𝗿𝗶𝗲𝘀. What AI can't generate is real lived stories! A decade of bringing AI products at Google, Microsoft to millions of developers, or leading AI transformation for some of the biggest companies in the world. You're not paying for slides. You're paying for the war stories behind them.
2️⃣ 𝗧𝗵𝗲 𝗰𝗿𝗲𝗱𝗶𝗯𝗶𝗹𝗶𝘁𝘆. Experience is scar tissue. I've been in the boardroom and in the trenches leading AI strategy to change management for companies like Chevron, UBS, Zurich Insurance, Barclays, etc getting thousands of developers to actually adopt AI.
3️⃣ 𝗧𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆. My courses pull in everyone from senior leaders to individual contributors, all in the same room, actually talking to each other. Connecting right hires to right hiring managers.
And that third one matters the most. In the AI age, 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝘁𝗮𝘆𝘀 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝘆𝗼𝘂𝗿𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱. Not the certificate!
That's what I'm building, one cohort at a time.
👍 Want to be part of the community? I would love to have you for the next cohort starting in a few days with 30% discount EARLYBIRD: https://lnkd.in/gZAw3Y94
👇 Photo: See what some of the students had to say about the course.
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Which is actually great news right now. There's no shortage of AI courses out there. Different formats, different depths, different styles. You get to pick what fits how you learn.
🤔 𝗕𝘂𝘁 that raises a 𝗕𝗜𝗚 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: with so many options out there, including ones built with AI in a weekend, why choose my course?
Three reasons, and none of them are the curriculum.
1️⃣ 𝗧𝗵𝗲 𝘀𝘁𝗼𝗿𝗶𝗲𝘀. What AI can't generate is real lived stories! A decade of bringing AI products at Google, Microsoft to millions of developers, or leading AI transformation for some of the biggest companies in the world. You're not paying for slides. You're paying for the war stories behind them.
2️⃣ 𝗧𝗵𝗲 𝗰𝗿𝗲𝗱𝗶𝗯𝗶𝗹𝗶𝘁𝘆. Experience is scar tissue. I've been in the boardroom and in the trenches leading AI strategy to change management for companies like Chevron, UBS, Zurich Insurance, Barclays, etc getting thousands of developers to actually adopt AI.
3️⃣ 𝗧𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆. My courses pull in everyone from senior leaders to individual contributors, all in the same room, actually talking to each other. Connecting right hires to right hiring managers.
And that third one matters the most. In the AI age, 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝘁𝗮𝘆𝘀 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝘆𝗼𝘂𝗿𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱. Not the certificate!
That's what I'm building, one cohort at a time.
👍 Want to be part of the community? I would love to have you for the next cohort starting in a few days with 30% discount EARLYBIRD: https://lnkd.in/gZAw3Y94
👇 Photo: See what some of the students had to say about the course.
hashtag hashtag hashtag hashtag hashtag hashtag hashtag
Validated Content
Most of the substantive claims in this post are professional-experience assertions that can't be independently verified without knowing the specific individual's identity — things like a decade building AI products at Google and Microsoft, or leading AI transformation work for Chevron, UBS, Zurich Insurance, and Barclays. These are plausible-sounding claims (all named companies are real, and "AI transformation" consulting engagements of this kind are common in industry), but there's no way to confirm the person's actual role, tenure, or scope of impact at those companies from the post alone — that would require verifying against a resume, LinkedIn profile, or the companies' own records. The core logical argument (that stories, credibility, and network are differentiators AI-generated content can't replicate) is an opinion/value proposition, not a factual claim, so it isn't something to fact-check in the traditional sense. No claims here are contradicted by anything publicly known, but several — the "decade at Google, Microsoft," the specific client list, "thousands of developers" adopting AI — are asserted without evidence and would need outside verification (e.g., the person's LinkedIn work history) to confirm.