Priya Sharma

Cancelling a meeting isn't a failure. For many decisions, it's the most productive thing you can do. Here's why absence creates clarity.

The AI industry is shipping powerful tools with the same blind spots that haunted web apps in the early 2000s. We should know better by now.

AI summarizers are fluent and fast, but they optimize for what's statistically central, not what's actually important. Here's what that costs you.

Canceling a bad meeting feels productive. But the real fix is understanding why it got on your calendar in the first place.

Semantic search feels like magic. The mechanics underneath are concrete, learnable, and worth understanding if you're building anything with AI.

A look at how Shopify audited its own calendar culture, and what any team can learn from the wreckage they found.

The meetings you didn't schedule are harder to fix than the ones you did. Here's how to find them and take your calendar back.

AI models display confidence scores as if they're meaningful quality signals. They're not. Here's what's actually happening under the hood.

AI coding tools produce fluent, well-structured code. They also produce bugs rooted in context they never had. Here's how to work with that limitation.

You probably already know when you do your best work. The problem is you've handed that time to other people.

Canceling a meeting isn't a failure of coordination. Sometimes it's the most productive decision you can make — and the work proves it.

Bigger AI models aren't always better. Smaller, focused models are often faster, cheaper, and more accurate for real tasks.

A product team built an elaborate knowledge management system and watched their collective memory get worse. Here's what went wrong and what it teaches us.

Chronic procrastination usually isn't a willpower problem. It's a signal that you're working on the wrong thing entirely.

You wrote one document. Your readers each reconstructed a different one. That gap is not a communication problem — it's a document design problem.

Most people know roughly when they do their best thinking. They schedule meetings there anyway. Here's how to stop.

A product team shipped features on time, but their velocity kept dropping. The problem wasn't what they hadn't finished. It was everything they almost finished.

Every to-do app is optimized for capture. None of them are optimized for completion. Here's why that matters and what to do about it.