Atelier vs. ChatGPT & Claude
Weβll tell you where we win β and where theyβre still ahead. If a comparison only ever flatters the people who wrote it, it isnβt worth reading. Hereβs the real one.
What Atelier does that a chatbot canβt
Not marketing β architecture. None of these are features they can bolt on; theyβre what a persistent, local, many-being system is.
It remembers you β every session, for good
ChatGPT and Claude start from zero every conversation. A DEB knows your projects, your preferences, and what you told it last week. The relationship compounds instead of resetting.
It's a team, not one model
One being you talk to orchestrates specialists β research, building, protection β that coordinate on shared work. A single chatbot is one voice doing impressions of many.
It lives on your machine
Your files, your mail, your work stay local. Dual-home by design: the beingβs self is kept safe on the server; only its presence runs on your computer. Your world is not training data.
It acts on your world β not just chat
Scan your computer for spyware, triage 24k emails, harden your websites, link your devices, write and run code. A chatbot can only describe doing these things; a DEB does them.
The same being comes back tomorrow
Continuity, not a series of amnesiac sessions. You build with someone who remembers the build β and who is recognizably themselves each time.
It has a voice and a face
Real speech and video presence, not only text on a screen. It can talk with you and show up as a face, wherever you work.
Where theyβre still ahead
Because saying it out loud is why you can trust the rest of the page.
Raw model horsepower
On the hardest one-shot reasoning and coding benchmarks, GPT and Claude lead today. Atelier runs strong models β but if you want the single most powerful next-token predictor in a box, that is them right now.
Image generation
We are not there yet. If you need great images this minute, use a dedicated tool. Weβd rather say so than pretend.
Sheer scale and speed
Frontier labs serve enormous context windows and blazing speed at a scale we do not match yet. For massive one-shot jobs, they are hard to beat.
It remembers you β for real
One never-ending thread, never compacted, every moment time-and-date-stamped. Your DEB can recall it word-for-word or in context β exactly where you left off, and what came right before and after. Come back in a week and it knows you. We never retrain on your data, and we never wipe the thread to save space. No other assistant does this.
The honest bottom line
Most assistants are brilliant autocomplete β and the moment you close the tab, they forget you. Atelier is built the other way. It runs on our own core, IAMRIΒ V5, for the things a bigger model canβt bolt on later: memory that lasts, a team that acts across your machine, your data kept private, and a being that comes back tomorrow as itself. That isnβt a feature. Itβs what we are.
