Adam Kinney

About

I've spent 25+ years in the middle of major technology shifts. Not the slide deck version — the part where you actually have to make it work.

Across roles at Microsoft and Stripe, I built platforms that are still running: Microsoft Learn, Microsoft Docs, Stripe Docs. Developer experience, documentation, operating models — the kind that keep working after the team that built them has moved on. The pattern is always the same: big strategy meets messy reality, and someone has to close the gap. That's always been the work.

Right now, that gap is AI.

Most enterprises I talk to aren't short on interest. They've seen the demos. They've run the pilots. What they're missing is the bridge between "AI is clearly useful" and "AI is actually integrated into how we make decisions and ship work." That's where I live.

So I built Obaron — an AI Readiness auditor for developer docs. Free Lightning Scan: put in your domain, get a score in 60 seconds. $49 Docs Readiness Audit: 30 pages deep, category breakdowns, a prioritized fix list. AI Readiness, in the narrow sense: how well AI systems can understand, retrieve, cite, and act on your content.

I shipped it in four days. That number is real, and it has context: a working prototype from a year of building while figuring out what AEO even meant, a fluency with AI-native workflows I've been developing since before that, and 25 years of knowing what a shippable thing looks like. The AI made it fast. The experience made it real.

Greatest Hits

The pattern: platform work. Not features — the layer that features run on.

Let's Talk

If you're the one who has to make the AI strategy actually work — in the product, in the code, in the room where it has to run — reach out. I want to hear about your specific gap.