Priya Sharma

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.

Your phone isn't alerting you to emergencies. It's delivering low-priority messages on a timeline you agreed to. Here's how to change that agreement.

Switching from Python to Rust won't fix a slow app if the bottleneck isn't your language. Here's what actually determines speed.

Retrieval-Augmented Generation is a genuine improvement over vanilla LLMs. But the AI community has oversold what it actually solves, and teams are paying for that confusion.

If your bug disappears the moment you try to observe it, that's not luck. It's a timing problem wearing a disguise.

Everyone celebrates the deployment. Nobody talks about the slow, structural failure that starts the moment real users arrive.

Most meetings aren't poorly run. They're poorly conceived. Here's how to tell the difference before you schedule the next one.

Giving your AI assistant a massive codebase and detailed instructions often produces worse results than a focused prompt. Here's why, and what to do instead.

Most people treat AI like a search engine or a person. It's neither. Fix the mental model first, and the prompts fix themselves.