Daily field notes from the seat where AI meets capital

Most people writing about AI have never had to make it work inside a company with a board, a budget and a legacy system. Most people writing about private capital have never shipped software.

I do both, this week, with real clients.

I wrote my first line of code in 1995. Since then I have shipped products, raised rounds, run engineering for enterprises, and built the tooling investors use to screen public filings. Today I am Founder-CEO at PADISO, and I build SearchFIT, D30 and Capitaly.

What you get, daily

  • AI transformation. What actually changes inside a company when AI lands. Org design, cost, delivery velocity, and what breaks.

  • Private equity and capital. Diligence, value creation, and how investors misread technology risk.

  • The operator’s seat. Pricing, hiring, build versus buy, and what a CTO does now.

  • AI search and distribution. How buyers find companies when the answer arrives before the link.

Every piece carries one diagram, at least one number you can check, and an honest paragraph on where the argument breaks.

No growth hacking. No AI hype. No listicles.

Who this is for

If you run technology, allocate capital, or build companies, this is written for you.

Work with me

I run AI transformation and fractional CTO engagements through PADISO. If the gap between your AI pilot and your P&L is the problem you have, book a call with me.

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Daily field notes on AI transformation, private capital, and the operator's seat. Written by someone still doing the work.

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