Collected Thoughts
AI Adoption Is Up. Enthusiasm Is Not.
Last week, Pew released data that showed that nearly half of Americans now use AI chatbots. That's a sharp uptick from just 33% two years ago. But despite increased usage, people's sentiment about AI remains generally negative.
How to Know When AI Is Good Enough: 10 Lessons from Our NY Tech Week Panel
The AI conversation is changing. A year ago, most organizations were asking what AI could do. Today, they're asking whether they can trust it enough to deploy it.
AI Evaluation Is the Real Work: What We Learned Teaching a Government Cohort to Break Our Prototypes
Working demos are cheap. Knowing how AI fails is the skill that scales. Lessons from teaching government leaders to break their own AI prototypes before launch.
When Building Is Cheap, Problem Definition Is Everything
AI means we can spend more time on the crucial part of building tech: defining the problem and designing the solution. That’s true whether your development cycle is 36 hours or 3-to-6 months.
What Everyone Should Know About AI's Environmental Impact
Is AI bad for the environment? What matters, who's responsible, and what we can do about it.
An AI Policy Framework: How to Write an AI Policy That Your Team Will Actually Use
To write an AI policy that works, start with the work.
Why AI Adoption Matters More Than AI Benchmarks (And What That Means for Your Business)
The models keep getting better. Your team still isn't using them. Here's why that's the real problem.
4 AI Workflows That Actually Improve Team Efficiency
Most AI hype skips the part where your team actually has to use it. These four workflows don't.
AI Implementation for Marketing Teams: What It's Good For and What It Isn't
AI can write your first draft and analyze your data. It can't replace the strategic thinking that makes marketing work.
Build, Tune, or Buy: How to Choose the Right AI Approach for Your Organization
Building a custom AI model sounds powerful. For most organizations, it may be the wrong move.