This is exactly why the next 18 months of vertical AI are going to be bananas. The promise of vertical AI, as opposed to vertical SaaS, is to build software that understands a job well enough to actually do the work — not just give a person better tools to do it. There are 3 trends that have created a perfect storm for vertical AI: 1. AI software is capable of getting jobs done in more magical ways than ever before. 2. The first place that magic has landed is in AI software development itself, so there's a mad rush to build for the builders. 3. This makes for a frenzied loop: build AI tools to solve problems in the current AI tooling → uncover new problems with AI tooling → build different tools to solve the new problems... Every day a new (and better, and faster) way of building emerges. But it also introduces a new set of problems that require a new set of products. Infra and tooling right now are on a runaway treadmill that just keeps going up in speed. The side effect is an insane tailwind of constant stack upgrades for building vertical AI. It's a generational opportunity to literally invent solutions for problems that haven't been solved in 100+ years. A factory floor today has the same tribal-knowledge problem it had in 1926: the person who knows why the line really runs is about to retire, and nobody wrote it down. We are now finally getting to the point where we can take on massive real world problems and build solutions that get those jobs done in a magical way.