Priya Sharma

The person who knows how to talk to your AI model may matter more than the person who built it. Here's why that shift is already happening.

Your calendar isn't broken. You are. Here's why deep work keeps losing to shallow tasks, and how to stop letting it happen.

Notification systems were built by engagement teams with different goals than yours. Here's how to reclaim them.

Task-switching feels efficient. Your brain experiences it as something closer to a small crash. Here's what's actually going on.

Git and its cousins do store your work, but that's the least interesting thing they do. Here's what version control is actually for.

A software team spent weeks feeding their model richer data and watched accuracy drop. Here's what went wrong and what it reveals about how LLMs actually process information.

A product team at Basecamp learned the hard way that completing work and completing communication are two entirely different things.

Training your model is the starting line, not the finish. Here's what actually happens to model performance over time, and how to manage it.

Heisenbugs don't just frustrate developers. They expose a fundamental flaw in how we think about software correctness.

LLMs don't know when they're wrong. Understanding the three ways they fail silently is the skill that separates confident AI users from the ones who get burned.

The advice to wrap up early and protect your evenings sounds sensible. For most knowledge workers, it quietly destroys the conditions that produce good work.

Unnecessary meetings don't just waste the time they take. They break concentration before they start and kill momentum after they end.

Busyness feels like progress. Your tools confirm that feeling. Neither is helping you do meaningful work.

Async-first isn't a workaround for remote work. It's a better default that co-located teams have been too distracted to adopt.

Your calendar shows your intentions. Your cancellations show your actual priorities. These are rarely the same thing.

Vector databases are genuinely useful tools. They're also being adopted by teams who can't yet articulate what problem they're solving.

Multitasking feels productive. The cognitive science says otherwise, and the math is worse than you think.

You've been measuring the wrong thing. A document doesn't have to ship to be useful, and publishing one doesn't mean it worked.