Category: AI
-
AI 101 for Product Managers
Last week, I led a fun and competitive AI learning session for Product Managers in my team. We started with a simple idea: come up with a set of questions that every AI Product Manager should know. Here’s how I structured it, and how you can run something similar with your own team. The Four…
-
Evolution of AI: Prompt to Graph Engineering
AI engineering doesn’t hold still. Every few months there’s a new term everyone’s supposed to already know, and half the internet starts panicking that they missed something. Nobody bothers walking you through how we actually got from one term to the next. So here’s the real chain: five shifts, and each one exists because the…
-
Glean Go 2026
Tl;dr Glean used the conference to reposition itself. It is no longer pitching “enterprise search with a chat box on top” — it is pitching a full agent platform, and it is now competing head-on with the horizontal assistant products such as Claude Cowork and Slack. Four things worth paying attention to: 1. Glean is…
-
Meta Compute Today, Meta Cloud Tomorrow?
Meta’s launch of Meta Compute is easy to read as just another big tech company investing in AI infrastructure. But that would miss the bigger shift happening underneath the cloud market. For most of the last decade, cloud computing meant one thing: large, horizontal platforms like AWS, Azure, and GCP offering an ever-growing suite of…
-
Prediction: “AI Slop” on Social Media will lead to Trust & Safety Boom
Over the past year, my social media feeds have started to feel… off. There’s a creeping sameness to the posts. A certain bland polish. Too many threads that start the same way. Too many carousels with copy-paste wisdom. Too many videos with robotic voiceovers and cookie-cutter visuals. And the root of it all is what…