Field-tested insights and findings on what makes AI actually work inside a real business.
As frontier AI labs race to make models smarter, businesses are still struggling to see the impact. For most of them, intelligence isn't the problem – knowledge is. Here's how the difference…
The gap between the publicly available AI models has narrowed greatly. But, two teams running identical models still end up with wildly different end-value. The number one factor responsible for…
Companies are racing to deploy fleets of AI agents, but each one arrives knowing nothing about the business it's meant to run. While some teams are beginning to adopt the strategy of engineering…
Enterprises are pouring billions into AI deployments, and most of that spend never returns. Small businesses can afford even less. The headstones rarely read "not smart enough". Projects that die…
Every company racing to deploy AI gets caught in the gap between demo and actual ROI. Here's the #1 test that tells you which one you signed up for, before you bet your future on it.
Every company built an internal wiki to be its single source of truth, and nearly all of them went stale. The lesson to be learnt is one of manual documentation being an unwinnable war against a…