Seven Ways Tech Leaders Are Designing AI Agents To Prevent Mistakes

The biggest breakthrough isn’t making AI agents more autonomous. It’s teaching them to doubt themselves.

Before You Build: How To Know You’re Solving The Right Problem

Design thinking helps teams avoid pitfalls by encouraging them to question what they think and examine a challenge from multiple angles before committing to a solution.

The AI Summary Every Board Reads Alike

AI-generated summaries can affect boardroom decision-making. Here’s how chairs can preserve independent, informed judgment.

​How To Measure An Engineering Team Beyond Headcount

Here’s how technology leaders can measure engineering performance through delivery speed, stability and business outcomes, not just headcount.

Building Healthcare AI Systems That Calibrate Trust

Do we want people to trust AI more or trust it appropriately?

The CIO’s Modernization Test: What Can The Business Safely Retire?

What you should avoid is retiring something necessary to make a project look finished, or keeping it indefinitely because no one owns the decision.

Building An Age-Aware Internet Without Blanket Bans

Instead of placing the same barrier in front of every user and every interaction, platforms can adapt the experience to the person using them.

​The Agentic Era Needs A Different Kind Of Memory

An agent embedded in a mobile app or a field device needs to run locally and reconcile with the rest of the system once connectivity comes back.

How To Launch A Low-Budget Influencer Marketing Campaign

Running an influencer campaign is really a roll of the dice, even with the best strategy.

The Best AI Leaders Are Thinking Like Architects

The goal isn’t to layer the future on top of the past. It’s to understand what you have well enough to thoughtfully redesign it for what comes next.