Sandeep Swadia | theMITmonk — How To Use Claude Better Than 99% Of People

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Give Claude to two people and you’ll see the gap: one uses it for nicer emails, the other uses it to build a hundred-million-dollar company.

In this episode, I break down Claude as a full stack of tools—Chat, Projects, Cowork, Code, and the Chrome extension—and how they work together to dramatically upgrade your output.

I show how to move beyond copy-paste prompting by adding rich context, grounding with research, and learning in parallel, then explain how Projects turn one-off chats into an ongoing working relationship.

I also walk through Cowork + MCP connectors (including Higgsfield) to generate real deliverables, and I teach my PRIME prompting framework: Purpose, Research, Interview, Mechanics, Examples.

Key Insights

Give Clot to two people. One will use it to build a better email. The other will use it to help build a hund00 million company. Same tool, different users. And that gap between people who use AI and people who wield it is about to reshape careers and companies and families and lives over the next decade. If you’re new here, I’ve been a CEO, board member, investor in technology companies worth billions. And today I want to share with you how to use Claude better than 99% of people from beginner to advanced. And it’s way easier than you think. Claude is not just one app. It’s a whole stack of tools built for a very different kind of work environment for businesses. There’s chat for thinking, clot co-work to get work done, clot code to build things, clot chrome to browse with a brain, clot skills to make it all repeatable, and lots of tools. Once you understand how this team of agents work together, your output can change dramatically. The best way to visualize it is this five activities. Think, remember, execute, build, and browse. Let’s go through each one of them. First is think you go to claw chat and this is what most of us do when we think about chat bots. We input a prompt, we get a response, you bring a messy problem, a fuzzy idea or a rough draft and work through it. But many of us just use AI to do all the work so they can copy and paste. We’ve all seen those LinkedIn posts. So, if you go to claw chat and type, write me a LinkedIn post about leadership, you’ll get a very polished paragraph that says nothing. And we’ve talked about how to prompt better with things like aim, before actor, input, mission. Try this prompt instead. You are a business school professor. I am trying to explain why some leaders sound credible and others don’t. I’m attaching my notion page with a rough idea that talks about leadership and authenticity, leadership and humility. Your job is to push back on what’s weak and sharpen what’s real. Find me research that helps me create a strong insight and then we can write a LinkedIn post. You make Claude your thinking partner. Now, of course, like all AI, it will not do what you tell it to do. Not the first time around, at least. And sometimes it’s going to be super frustrating because you’ll give this detailed prompt and just crap will come back. So, there are three things that you can do that can become your power moves when that happens. First, give it rich context as much as you can. Connect the chatbot to your Google Drive, your email, your calendar, your notion app, anything else you can. That way you can attach files to that chat session. It will read it. It’ll get context from it. Second, ground your insights with research. You can ask claw to go out on the web and do deep research. It has already learned the entire internet during its training. So why not use it? But when you get the research back, always ask one more time. Is this verified? And third, use AI to build your AI skill in real time. If you’re patient and curious, you can literally build your engine while you’re flying the plane. For instance, let’s say you have no background in corporate finance and you’re building a financial model. You get stuck on how to use a specific spreadsheet feature or even a financial concept like IRRa or free cash flow. No problem. Just start another chat in another tab and ask away. So you can learn and do. Do and learn. The cycle just continues. Now let’s go meet our second member of your team. This one helps you remember and it’s called clawed projects. We all know when we’re creating something new or solving a complicated problem, the work doesn’t end in one session or even in one chat. And that’s why all three AI platforms nowadays have gotten better at maintaining memory across different chat sessions. Claude remembers your world through projects. A project is where you give the chatbot your files, your instructions, your tone, your ongoing work. You’re not starting from zero every time you open i

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