Result Mac v1.1.0 is out today!
Now you can use open-weight models to interact w/ files and folders in your mac
Make/edit/delete files, organize folders, convert images, etc. Try it now.
Today we’re launching Result v1.1 for Mac.
Your on-device agent can now interact with files in your computer, powered by local open-weight models.
> Create, convert, organize, and more in your folders & files
> Run open-weight models on cloud or your own compute
> No data ever leaves your device
https://t.co/g6f8912pCz
Cloud VMs keep getting hacked, so we built the first on-device iPhone agent
Introducing Result
> Cards & passwords stay on-device
> Run openweight models on your compute or cloud
> Native Apple Pay & Passwords
> Works in the background even when locked
https://t.co/3xShMzcMis
We built the best experience for local AI on MacOS
Introducing Result for Mac
> Computer Use with local models
> One-click connection to private inference: DGX, Halo, etc
> Use open-weight cloud models
> Access models running on your Mac on your iPhone
https://t.co/KywwDowm6U
We built the best experience for local AI on MacOS
Introducing Result for Mac
> Computer Use with local models
> One-click connection to private inference: DGX, Halo, etc
> Use open-weight cloud models
> Access models running on your Mac on your iPhone
https://t.co/KywwDowm6U
Based on our internal tests, models small enough to run on an iPhone were too slow and not capable enough.
On Mac, the models we support (GLM-4.7, Qwen 3.6, etc.) perform surprisingly well on most personal agent tasks, reaching 100+ tokens/sec.
For cloud inference, we offer zero data retention, and we support frontier open-weight models at speeds of some up to 1,000 tokens/sec.
looks like it wasn’t clear:
Execution happens on your iPhone - your passwords, cards, etc stays on device.
For running a model you can:
a. Access the latest models in our cloud
b. Or you can pair with a mac to:
- Connect your private inference (DGX, Ollama, etc.)
- Download a model weights there & tunnel from there
Today we’re releasing Result for Mac beta!
goal is to build the best UX for interacting w/ open-weight models.
in v1, you can:
- Download & run models locally on your Mac
- Access the latest models in our cloud
- Connect your private inference (DGX, Ollama, etc.)
All our cloud models are free to use without limits for a limited time.
Written with Swift & Rust, with computer-use features built in.
try it today. feedbacks appreciated
A simple task this could do but Claude duet could not: find my polling station in NYC. Duet refused because entering my birthday violated safeguards. That’s ridiculous! Let the agents do useful things!
My polling site lookup task wasn’t very hard, but I’m still impressed a model like qwen 3.8 27B managed