Deep research solves the underuse problem. It does something you can't do quickly alone: synthesize complex information from multiple angles, find sources you didn't know existed, flag contradictions and gaps. It's expensive in tokens and time. The environmental footprint is real. But if you're writing a research paper, making a protocol decision, or building something that depends on getting the evidence right, it's worth the cost. The game is this: use it intentionally.

This prompt is not magic. No prompt is. What it is, is a structured way of asking a question most of us never ask clearly: given everything I'm working with and everything I'm working toward, what is the one thing I should actually be doing that I'm not? Most people never ask this question at all. They stay busy. They stay useful. They stay reactive.

We were taught to speak clearly. Structure arguments. Use data. Nobody taught us that 55% of what people receive comes from body language. 38% from tone. And only 7% from the actual words. We trained for 7% of the job. And wondered why rooms didn't move. Communication isn't about how much you say. It's about how much lands.

Claude Cowork is a desktop application that gives Claude the ability to take actions on your machine. Not just give you advice — actually run commands, read files, rename things, organise folders. It's like giving your assistant not just a voice, but hands.

Foundation models will get cheaper, faster, and smarter. The wrapper companies that have survived this long will lose their advantage as the models themselves absorb more use cases. Investors have already started asking harder questions. The era of funding AI companies on the strength of a demo and the word "agentic" is over. What replaces it is not the death of AI. It's the maturation of it.

We often act like AI was born in late 2022. It wasn’t. It was just hiding in plain sight. For the last decade, you’ve been training and using "narrow" AI every single day. Your Phone’s Keyboard: When you type "Good," and it suggests "Morning," that’s a prediction model. Amazon & Netflix: "Because you watched The Office, you might like Parks and Rec." That’s a behavior prediction model. Google Search: When you start typing and it finishes your sentence? Predi

AI doesn’t run conferences. People do. But AI can: Hold structure when things get chaotic Maintain continuity across months of planning Reduce invisible cognitive labour And cognitive labour is the most expensive, least acknowledged part of leadership today.

You are using artificial intelligence to mirror your own potential back to you, highlighting connections you missed because you were too busy working double shifts to notice them. It won't write the exam for you. It won't charm the interviewer. But it will show you exactly which wall to lean your ladder against. Now, go build your Digital Twin.

Did you know you can train your AI? Most modern tools (like ChatGPT or Gemini) now have a Memory feature or "Custom Instructions." This is a game-changer. If you don't use this, every time you open a new chat, the AI has amnesia. It doesn’t know who you are, what you do, or what you care about. You have to explain context all over again. Exhausting. Instead, you need to feed it context so it "remembers" you across conversations.

Prompt engineering is not merely about generating text; it is about cognitive extension. It allows a physician to scale their ability to communicate, educate, and analyze data. The barrier to entry is low, but the ceiling for mastery is high. Those who invest in learning the syntax of this new intelligence will find themselves with a powerful partner in practice. Those who ignore it may find themselves increasingly burdened by the administrative weight that their AI-litera