Priya Sharma

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.

The 'second brain' framing sounds empowering but quietly sets you up to collect instead of think. Here's what to do instead.

Dead code isn't just a cleanliness problem. It's a social, political, and psychological one — and most teams never solve it.

Before your words reach the model, a lot happens to them. Understanding that gap will change how you write prompts.

You did the work. But did you actually close the loop? The gap between finishing and closing is where half your productivity quietly disappears.

Most productivity tools don't fail because of bad design. They fail because you're using them to store choices you haven't made yet.

Most async failures aren't tool problems. They're writing problems. Companies that get async right treat written communication as a core skill, not an afterthought.