Manifesto

Valuations in AI are running faster than any prior tech wave, and it's largely due to potential. Billions and trillions of dollars, genius engineers in every seat. And yet, the distance between what gets shipped at those companies and what a non-technical operator can actually extract value from has never been wider.

Outside of my career, I sell conversion rate optimization packages and vibe code/develop with AI. Understanding e-commerce conversions has driven me to think about conversion rate elsewhere. In my career, in my own life as an AI user and builder. In short, I have become obsessed with finding and creating usable products within the AI rat race. I learned this the hard way: by building solutions and tools at 1A Auto that made perfect sense to me and provided real value, but struggled at first in terms of user adoption. While the logic behind the scenes may be complicated, the frontend shouldn't be.

"Conversion" can be defined in many ways. A sign-up, a subscription, a sale. Lately, I've applied conversion-minded thinking to software and AI. In life and business, the throughline is the same: powerful tools lose at the moment a non-builder tries to extract value and bounces. When the common man test drives the latest AI tool or model, and they're left unsatisfied. The issue isn't that exponential AI advancement isn't impressive; it's that to many people – the very users AI-enabled companies rely on to scale – the approach to reap AI rewards is unclear or too technical.

CRO is the discipline of closing that gap. AI is the technology that makes the gap most expensive, and most addressable. The AI companies that win the next five years won't just be the ones with the smartest models or the most users. They'll be the ones who focus on usability. The companies whose tools land in the hands of everyday people, employees, and companies and work intuitively, powerfully. Be it by custom deployment work or easy out-of-the-box setup, the value proposition needs to be obvious – without immense infrastructure work on the user's side.

I've spent nine years inside traditional businesses as an operator, gaining access to enterprise AI in just the past six months. It's clear to me that this is the future, but until the models get good enough where users aren't left underwhelmed by issues with memory and accuracy, user adoption will stagnate. I'm obsessed with reaching the future now, with the main focus being accessible, usable AI.

I want my next role to be at a company building AI for the people who aren't technical by nature and for the operators who have the intellect to build solutions, but perhaps not the skillset to develop technical solutions. At the least, I want to work for a company that lets me run free and change the organization from the inside out for the better, using AI.