# I Gave Claude Cowork 5,000+ ChatGPT Chats (Results)

## Метаданные

- **Канал:** Corey McClain
- **YouTube:** https://www.youtube.com/watch?v=lz6Azq8KFtA
- **Дата:** 05.03.2026
- **Длительность:** 8:01
- **Просмотры:** 359

## Описание

Build your client-attracting content strategy in 1 hour:
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Book a private AI strategy session:
https://tidycal.com/coreymcclain/ai-system-strategy-session

🔗 Download the Chat Export Organizer (free): https://forms.gle/7Z8eGsjJUaFR36Sd7

Migrate from ChatGPT to Claude Without Starting Over (Export + Chat Organizer Skill)

The script explains how to migrate years of ChatGPT history to Claude by exporting your data, locating the conversations.json file, uploading it to Claude Cowork, and running the “Organize my chats” command to activate the Chat Export Organizer skill. It contrasts this with Anthropic’s prompt-based memory export, noting it misses project-isolated memories and is constrained by ChatGPT’s context window, producing only a short memory sample. The Cowork method instead generates deliverables including a comprehensive memory paste, a user memoir profiling your thinking and frameworks, a migration guide for recreating projects, automation recommendations for turning repeated workflows into Claude skills, and fully organized chat archives by year/month, project, and custom GPT. It shows how these folders enable browsing old chats and quickly setting up Claude projects to continue work.

00:00 Upload Chat Export
00:42 Anthropic Prompt Method
01:29 Why Prompt Falls Short
02:59 Testing Memory Export
03:47 Claude Cowork Deliverables
04:09 Memoir to Claude Memory
04:54 Migration Guide Walkthrough
05:37 Organized Chats Archive
06:34 Organized Claude Projects
07:24 Final Recommendation
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CONTACT
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#chatgpt #claude #claudecowork

## Содержание

### [0:00](https://www.youtube.com/watch?v=lz6Azq8KFtA) Upload Chat Export

After you download all three years of your chat GPT conversations, look for the file named conversations. json and upload it to Claude Co-work. And then you're going to give Claude Co-work a very simple command, organize my chats. If you look on the right, you can see that the chat export organizer skill has been activated. And now it's going to go through all three years of your chat GPT history and separate those conversations by year and by month and also by project and by custom GPT. So if you were a chat GPT power user and your account has real work deep thoughts frameworks and items that you don't want to lose by simply transporting a small memory file to claw then this is the method that you want to use. Anthropic

### [0:42](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=42s) Anthropic Prompt Method

knows that a lot of people are switching over from chat GPT to claw because of the recent events with the department of war. So, if you want to switch to Claw without starting over, their method is a little bit different from mine. And it essentially comes down to copying this prompt, pasting it in chat GPT, and this is what it says. Export all of my stored memories in any context you've learned about me from past conversations. Preserve my words verbatim where possible, especially for instructions and preferences. Categories, output in this order, instructions, identity, career, projects, preferences, and then format. If no data is known, output wrap the entire export in a single code block for easy copying. After the code block, state where this is the complete set or if more remain. Now, the problem with

### [1:29](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=89s) Why Prompt Falls Short

this prompt among other things is that with chat GPT projects, you're able to turn on project memory only. So that means that particular project is going to be isolated from the rest of the account. so that this prompt will not pull any information from several of my most important projects because I like to isolate those so I don't get a lot of noise from other conversations when chat GPT is trying to reason across those several surfaces. Another problem with this prompt method is that it's going to limit the amount of data that I'm able to extract from my chat GPT account to the context window of chat GPT. And I can almost guarantee that any serious chat GPT user who's moving over to claw has far more valuable content and ideas that they want to bring over than can be contained in a single contest window or a single code block. So while this is a valiant effort and an easy method for most people to bring over their preferences, this is not the best way to actually do it. This hits home even harder when you look at what they wrote on their website. You've spent months teaching another AI how you work. That content shouldn't disappear because you want to try something new. Claw can import what matters. So your first conversation feels like your hundth. And the truth is that may be true for a lot of people, but for the majority of people who've been using chat GPT, they've been doing so for two plus years. They have hundreds if not thousands of conversations. This is the

### [2:59](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=179s) Testing Memory Export

complete set of store memories and learn context that is available to me in this chat context. No additional store memories were returned by the personal context lookup. And if you look at the date, you can see that the furthest it went back was June 13th, 2025, and it ended on February 4th, 2026. So, I'm going to copy that memory and then I'm going to paste it right here in anti-gravity. Select all. And we can see that this is 122 lines, 45,659 characters. I'll be honest with you, I have workflows that are longer than these memories. While it does capture some facts about what I was working on and some things I'm interested in, it does not come even close to bringing over what's most important to me from my chat GPT account. Back over here in

### [3:47](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=227s) Claude Cowork Deliverables

co-work, we're done. And you can see that these are the key deliverables that you get when you run this claw skill chat export organizer. You get a memoir, memory pace, migration guide, architecture map, co-work automation recommendations, and an organized chat archive. That's basically all of your chats organized. The memory pace is

### [4:09](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=249s) Memoir to Claude Memory

going to be a much more comprehensive version of what Anthropic offers you. But what you really want is your memoir. Your memoir is a deep profile of how you think your frameworks and your evolution as an AI user. This is what you actually need to be able to bring into Claude. If I copy it and then I paste it, guess what? It fits perfectly. I click add to memory and now Claude is updating its memory about me. This is a summary that's generated every night and it does not include projects which have their own specific memory which is very similar to the architecture of chat GPT which is how I know that the most important memories are not going to be imported to claw using this method. And

### [4:54](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=294s) Migration Guide Walkthrough

then we have a migration guide. And the migration guide is essentially going to walk you through how to utilize your chat GPT files that you've exported, which have now been organized. And we're going to get to that in just a minute. But it's going to let you know like, hey, you can paste your memory, you can create projects in priority order, and then it actually gives you instructions for how to set up each of these projects so you can get going on Claude as quickly as possible. Then it gives you some tips for how to use your archive conversations. And with the co-work automation recommendations, what Claw has essentially done is looked at all three years of your conversations. Look for things that you repeatedly do. Look for workflows that you have and it identifies items that you can quickly turn into clawed skills. Then if you

### [5:37](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=337s) Organized Chats Archive

look right here, you can see that there are two folders. One of them named organized chats and another one named organized claw. If we open up organized chats, this is nothing more than all of our chat GPT conversations organized by month and year. So this conversation is from December 2022. So if I ever want to go down memory lane, all I have to do is open this chat and I can instantly start remembering the very first conversation I have chat GPT. Or if there's a conversation I was having with a certain custom GPT I created, I can easily find it here as well. or maybe it wasn't a custom GPT, maybe it was a project. Here's a list of all the projects. And again, I can open these and find the conversations for those projects right here. So, whatever creative idea I have for using my data, whether I want to upload it to Notebook LM or upload it to Gemini or any other platform, I have all of my chats right here and I can do with it whatever I want. But let's say that

### [6:34](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=394s) Organized Claude Projects

you want to follow the migration guide that Claude gave you, then you have the organized Claude folder. And inside of this folder, you have Claude task. These are items that Claude has recognized that you could probably set up a task for. You have the memory pace. You have the user memoir. You have a project index with a list of the projects and your conversation separated by project. So if I open the active boot sequence, we can see that there's a conversation in there with the date. If I open agent protocol builder, which should be agent builder protocol, then you can see that there are a couple of conversations in here with project instructions. And like I said, there's a recommendations folder with an architecture, map, co-work task, migration guide, and you even have a skills index with various items that you could create for claw skills based on this information. So instead of just

### [7:24](https://www.youtube.com/watch?v=lz6Azq8KFtA&t=444s) Final Recommendation

settling for this very brief summary anthropic is going to give you from a very small sample size of your memories, I recommend that you export your own data and that you start setting up projects. Now, of course, some of these projects are going to overlap, but if you really want your Clawude experience to feel like you're picking up where you left off, not with chat GPT, but with your own ideas, creativity, and work that you were doing with a better and more productive AI system, then you definitely want to use this claw skill that organizes your chat GPT conversations for you. The link will be in the description.

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*Источник: https://ekstraktznaniy.ru/video/10848*