Understanding ChatGPT Work
100 points - today at 1:28 AM
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> ChatGPT Work combines all three!
The ChatGPT Work model would actually feel safer to me if they created a privacy boundary between the container-managing agent (browser operator/VM manager/code runner/etc) and the chatbot agent. Instead of me not typing privacy-sensitive things to the chatbot to avoid having them in my history, the chatbot would keep my history private from the container agent except on a need-to-know basis. That would remove the "access to private data" from the container's trifecta.
Not perfectly safe of course, just safer. Particularly if I could review the logs between the two agents.
It gets the task done in 5-10 minutes. It's it bit slow since I'm not paying extra for ultrafast mode, but it gets the job done. Frees up the brain to do other tasks.
It's exactly like vibe coding but for computer tasks.
I have been of the opinion for the last 6 months that this product category* is going to be something that sticks. I really think that OpenAI and Anthropic have totally dropped the ball on getting their respective desktop apps in front of the enterprise business user cleanly. Both jumped early, and tried to retroactively fix their jump by combining MVP (Work, Cowork) into their existing app.
By now, my suspicion is that the business user has baked into their mind 'that claude thing is just the chat app I copy-paste stuff out of, it was kinda annoying'. OAI+Ant really need to reset, and shamelessly relaunch ChatGPT/Claude Desktop as a new product- and market the hell out of it as some shiny new solution to everything.
I'll also say that MCP was (considering stateless now) a massive mistake. Not that MCP doesn't have it's niche, but it completely dominated the airwaves of AI for enterprise. People found it confusing, and it wasn't adopted by biglabs in a low-friction way. I recall distinctly late last year, neither had a client that would support local MCP servers- even though the buzz was peaking. And now, Anthropic still doesn't have great support- their OAuth flow is straight up broken, and they even collide with MCP using their own terminology (connectors)- which overlaps in a very weird way with built-in and 3rd party connectors. It's all very weird, and very anti-enterprise. I don't know where OAI is positioned on MCP support, because my userbase is 99.5% Anthropic rideordie, and I don't want to live with a client I can't manage**.
* That being desktop app for harness with shell tool + scheduling + agent-per-project/directory. At some point within that 6 months I've also lumped in browser use, and to a lesser extent, computer use, as must-have features.
** Referring to the MCP client ChatGPT Desktop uses. It's probably fine, but if I hit API direct, I can actually control how the harness facilitates the calls. Look how many GH Issues there are for MCP client things on OAI's end.
Which I created using this prompt in a fresh Work session:
> Build a site that lists every one of your tools - nearly grouped into categories - and for each one explain what it does. Try to exactly duplicate arguments and tool descriptions where possible. Design aesthetic should be technical docs, minimal flare
UPDATE: I had it add all of the available skills too. This solved a mystery: I didn't see a tool for controlling the headless browser. It turns out that's handled by a skill that tells is how to run the browser via its Node.js REPL tool: https://codex-tool-reference.simonw.chatgpt.site/skills/cont...
Some people have an agent-driven browser that controls the ChatGPT web UI and exposes it as a chat view in a custom harness or pi for normal chats (with image generation, file input capability).
So it's not completely headless.
But when I tried it, the remote control completely froze after a few seconds.
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That's correct, and also why ChatGPT Work is DOA for me personally.
I need 100% of my Codex budget for Codex.
Too bad, it would have been nice to have a few extra features for the chat interface.
The things it can't do is use the embedding or TTS models as a part of its quota, which is sad. It also cannot read a video.
> OpenAI could make this a lot less confusing
> Figuring this all out took way more work than it should have.
Welcome to a generic large corporation, where they spend billions on making a product, and $0 on checking if the product makes any sense to a real user.