Your AI agent's skills are lying to you about why they work
Skills don't teach your agent much of anything, according to a new 8,135-trial study: only 4.5% of skill use is actual knowledge injection. The rest is mostly the agent using the skill file to stay on track. And the more skills you add, the worse it gets at finding the right one...
10 questions every AI leader should be able to answer in 2027
From kill switches to Chief AI Officer authority, these are the ten questions separating AI leaders with real answers from leaders about to get a very uncomfortable board question...
How to build AI in the age of collaborative coding
I'm Steve, co-founder and CEO of Builder.io. and I want to talk about something that I think most teams are getting wrong right now, even the ones who've already bought into AI...
Data centers close on schedules that don't care about your AI roadmap. Get the sequencing wrong, and you don't just move SAP workloads to the cloud. You migrate every architectural weakness right along with them.
Trust: The next critical infrastructure layer for autonomous AI
We're at an inflection point. AI has moved well beyond generating recommendations for humans to review. It's taking actions. It's embedded in business workflows. It's making decisions autonomously, and in many cases, it's doing all of this faster than any human could intervene.
88% of enterprises report regular AI use. Only 7% have scaled it. Here are the five strategies separating the companies that made it work from everyone still demoing chatbots to their board.
Berlin, Paris, London: how Europe's AI hubs are diverging
Europe's AI scene used to get lumped together as one story. In 2026, Berlin, Paris, and London are running three different plays, and the gap between them is widening fast...
New York's AI scene: The 25 companies you need to know
New York's AI companies are embedding AI into industries the city already runs: trading floors, hospital records, compliance desks. This list of 25 names, from Hugging Face to Dataminr, maps what that looks like in practice, and why the city's AI economy no longer needs Silicon Valley's permission.
I've been spending a lot of time thinking about this, and more importantly, living it while building agentic systems at 2Q AI. What follows are real incidents, real architectural breakdowns, and a practical framework for keeping your AI agents from going off the rails...
The age of AI evangelism is over. Welcome to the evaluation era.
Transparency scores are falling, hallucination rates on user-framed statements hit as high as 94%, and benchmark performance still fails to predict real-world results. The gap between what AI can do and what organizations can actually verify is now the problem worth solving...