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TLDR
Claude has several structural advantages over ChatGPT that make it more suitable for business workflows, including co-work (local folder access), scheduled tasks with full context, projects with automatic RAG and caching, shareable artifacts with a public catalog, parallel sub-agents, and default privacy (conversations not used for training). The key difference is that Claude is a workspace with a smart partner inside, while ChatGPT is a chat window with attachments.
Key points
- Claude's co-work feature allows it to access and work within local folders, producing finished deliverables like pitch decks without manual file uploads.
- Claude's scheduled tasks run with full access to files, MCP connectors, skills, and plugins, unlike ChatGPT's scheduled tasks which cannot use file uploads or connected apps.
- Claude projects support 30MB per file with unlimited files and automatically switch to RAG when context nears 200K tokens, with caching reducing costs.
- Claude artifacts are shareable mini-apps that can be published with a link and forked from a public catalog, enabling an ecosystem of reusable tools.
- Claude can spawn multiple sub-agents working in parallel on different files, coordinating results for tasks like competitor research or contract review.
- By default, Claude does not use conversations for training; users must opt in, whereas ChatGPT Plus defaults to training on conversations unless manually disabled.
- The overall difference is that Claude is a workspace with a smart partner, while ChatGPT is a chat window with attachments and limited automation.
Tools mentioned
Techniques
- co-work (local folder access)
- scheduled tasks with full context
- projects with automatic RAG and caching
- artifacts with public catalog and forking
- sub-agents for parallel work
- default privacy (no training on conversations)
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Transcript (captions)
Chad GPD also has skills. Did you know that? Most people don't. But Claude does something with skills that makes them, and I'm not exaggerating, about a thousand times more useful for the way you actually work. Now, after I posted the video on the Claude skills that I use every day, the comment that I kept getting was, "How do you remember what each one does?" Honest answer, I don't.
Because Claude reads what I'm trying to do, picks the right skill, and fires it. I don't have to name it. I almost never call it. I never remember it. I just type what I'm working on and Claude does the rest.
That's one of seven things that Claude does that Chad GPT structurally can't. And the next six, all of them are built on the same idea, that the best AI is not the one with most features. It's the one that you don't have to think about. Thank you to HubSpot for partnering with us on today's video. Now, if you're using Chad GPT right now for your business, I'm not here to tell you to delete it.
I'm here to tell you that most of what you think the two tools share. They don't actually share. Many people think Claude and Chad GPT are basically the same. One is just newer every now and then. That's not true.
They were the same in 2023. In 2026, they've diverged so far that comparing them feels not so much like Pepsi versus Coke, but more so like a toothbrush versus a Power Drill. Same shape, but different outside, different machines. Okay, so here's what I'm going to walk you through. Seven things in order of how much they'll change your week that Claude can do that chat GPT really can't.
So, let's go. Now, Chat GPT can see files. You drag them in one at a time up to about 80 per session, but that's an upload and it's a chat. Cloud has co-work. And co-work is the type of product where the AI doesn't sit on the other side of a window.
It sits inside the folder with you. Now, let me give you an example. Let's say you keep a folder on your desktop called, I don't know, Q2 sales pitches, and you've got a bunch of PDFs, bunch of pitch decks, your rate card, half-finish email templates. What you can do is ask claw to go through the folder and prepare for you a pitch deck for accountab. You walk away, come back, and you have a finished deck.
That is not a thing that chat GPT can do out of the box. ChatGPT's autonomous agent runs in a cloud sandbox. It cannot see your local files at all. To get anything close, you have to install and configure a custom MCP server, which is a developer move, non-technical founder move. Now, coolwork comes with that builtin.
You point at the folder and Claude works in the folder. That's it. This one alone is why most of my workflows moved over to Claude and no longer working in Chad GPT. Now, if you're serious about actually putting co-work to work, not just watching me demo it and then going back to typing prompts into a regular chat window, then this free stack from HubSpot is going to save you a week of figuring out the prompts yourself. It is called the Claude Co-work Stack, and it's a 12 advanced prompts that you can drop straight into Co-work built for the exact part of the workflow this video is about.
Pointing Claude at your real folders and getting back a finished deliverable, not just a chat reply. Here's the thing that most people get wrong the first time they try coowork. They open it, they point it at a folder and ask it to do something basic that chat GPT could have already done. You don't have to. HubSpot already wrote 12 prompts that use co-work the way that it's actually designed to be used.
You will find 12 readytouse prompts that you can run in under a minute. There's a weekly operations prep that builds your full Monday brief from your calendar and project folders. There is a batch document generator that produces multiple SOPs or job descriptions in one single pass. And my favorite, the content performance analyzer. You can point it at your analytics folder and your content folder.
Give it your gold and it builds you a whole presentation deck of what's actually working and what to make next. Now, if you watched this video and thought, "Okay, co-work is amazing. What do I actually run through at first?" Well, this is your next step. Hit the link below to grab the Claude Co-Work Stack. It is 100% free.
And big thanks to HubSpot for partnering with us on this video and for making this resource available. Now, the other thing is that Chad GPT has scheduled tasks. And I'll give them that. You can tell it every Monday at 8 a.m. remind me to check the pipeline.
And it will, but check the fine print. OpenAI's own help documents. Say it very clearly. Scheduled tasks in chat GPT do not support file uploads. They do not support GPTs.
They cannot touch the apps that you've connected with sync. For example, Google Drive or your SharePoint. So, what is a scheduled task actually doing? Well, it's prompting itself. It's an alarm clock with a typing finger.
CL scheduled tasks, on the other hand, are a very different category. Every single time one fires, it gets a fresh co-work session with access to your files, your MTP connectors, your skills, your plugins, all of them. I run loads of these. For example, I have a Sunday research pool for my school community. 7:00 a.m.
Swiss time every Sunday. Claude searches a curated list of sources, drafts four posts for the week, drops them in a folder that I review with my coffee. I have not written prompts in a long time. I do review them and it just runs. That is not an alarm clock.
That is basically an employee. It's only possible because claude schedule tasks have hands which chat GPT doesn't allow schedule tasks to have or to do. Now the next thing is that chat GBT projects have files and instructions and so do quad projects. On the surface looks like they're the same, but underneath there's a different scale entirely. A cloud project holds 30 megabytes per file and unlimited files.
When the project knowledge gets close to 200,000 token context ceiling, Claude switches on what's called rag or retrieval augmented generation automatically and your effective capacity expands by 10 times. You don't figure it. You don't have to pay extra. It just happens when the project gets big enough to need it. And here's the thing.
When you upload a file to a project, Claude caches it. So every time you reference it later, you only pay for the new context, not the cached file. Again, for a founder running a business inside a single project, every contract, every client document, every past sales call, that compounding becomes very significant. Now, item number five on our list. Okay, let's talk about artifacts because claude artifacts are the little working tools, calculators, dashboards, mini apps that Claude builds on the site of your conversation.
You can publish one with a link and anyone in the world can open it. They don't need a Claude account actually. But here's what almost nobody talks about or knows maybe. There's a public catalog of artifacts that other Claude users have built and you just browse and you find one that you like and you click customize and it forks it into your own cloud account at the starting point of your own session. Basically, you get to benefit from all the other things that others have built with chat GPT canvas.
I mean, that's great at letting you highlight one paragraph and rewrite it, but that's editing. Claude artifacts are built to be shared and forked. That's an ecosystem. Now, if you're tired of starting every tool from a blank chat, that catalog could become your shortcut. Item number six, I think we're on.
That's the parallel team. I'm talking about sub agents. This one's for the founders who run real systems. Claude can spawn multiple sub aents, multiple instances of itself working in parallel, each with its own isolated context coordinated by a parent that gives them the work and collects the results. For example, if you want to research five competitors at once, five sub aents, five competitors working individually, and then you get one summary.
Want to read every contract in your folder and summarize the risks? Sub agents split the folder and report back. The official benchmark is 50 to 70% faster on multifile work than a single agent doing it in series. In practice, it feels like having a small team of little people or agents that never sleep. Now, last one, and this is the one that I think every business owner watching this needs to actually do something about.
If you pay for chat GPT plus right now, your conversations are being used to train OpenAI's models by default right now. I actually made a whole video about it. If I remember, I'm going to link it here. Including the client work, the contract reviews, the pricing strategies, the personal stuff, everything. And a lot of people don't know how to turn it off because the toggle to turn it off is tucked three menus deep.
And OpenAI's own help documents confirm it's defaulted on. But Claude, the opposite is default. Your conversations are not used for training. You'd have to manually opt in if you wanted them to be. I mean, we can have a long debate about this, but it's not an opinion.
This is the public terms of both platforms. So if you've been pasting your client documents, your launch plans, your halfformed offers into uh Chad GPT plus chat for the last 6 months, pause this video, open chat GPT, go to settings and then data controls and then turn it off. You can come back after that. But honestly, that single setting is the difference between using AI as a thinking partner and using AI as a free intern who keeps notes on you. It's the smallest thing in this video, but it's also the one that probably matters the most.
Okay, so those are the seven differences of what Chad GPT thinks it can do, but Claude does a lot better. Now, you don't need to do all seven this week. Just pick one, okay? The one that hit you the hardest when I said it. Because here's the thing, the real difference between Claude and Chad GPT is not the model.
They're closer than the marketing makes them sound. The real difference is the shape of the work. Chat GPT is a chat window with smart attachments and a few connectors and a little bit of automation. Cloud is a workspace with a smart partner inside of it. If you build your business inside a chat window, you're going to spend the rest of 2026 retyping the same prompts and rebuilding the same context.
But if you build it inside a workspace, the system can compound. And speaking of compounding systems, if you want to apply this together with everything else that I talk about in my videos, you are always more than welcome to join us in our communities. There is the Trailblazers Hive which is our free community and we run free challenges and you have bi-weekly calls and we support you as much as we can over there. And then we also have our founders community which is our 90-day structured approach to start or grow a business with AI. That one has a lot more accountability.
We also speak a lot more and hold you along the way. So the choice is yours. You can join whichever one suits you better. And I hope to see you on the other side. In the meantime, like this video if you did.
Be sure to subscribe if you haven't done so. Share it with anyone in your circle of friends or family or co-workers who you think could benefit from learning these things about Claude versus Chad GPT. And until next time, I suggest you go ahead and watch this video over here and I'll see you soon. Bye.