#business-strategy

I reviewed 50 'AI transformations' last quarter. 35 were just expensive ways to parse CSV files. Here's why everyone's overengineering simple problems.

In 1849, Levi Strauss got rich selling jeans to gold miners. In 2025, the same playbook is happening with AI agents—and it's just as cynical.

Poor AI evaluations don't just hurt individual companies. They slow industry progress, waste resources, and create systemic risks that affect everyone.

AI evals companies didn't choose PLG by accident. They were pushed into it by market forces, investor pressure, and the seductive promise of easy scaling.

Most AI evals companies built PLG products that can't see how companies actually deploy AI, leading to evaluations that are dangerously wrong.

Startups burn millions adding AI models to 'improve' systems. The result? Slower performance, higher costs, and complexity no one understands.

Most startup advice is generic and useless. After advising 100+ startups, here is what actually works when everyone else is chasing vanity metrics.