The first personal agent with on-device execution and compute.
SF
Joined May 2026
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Result retweeted
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
result.dev/mac
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
result.dev/mac
Result retweeted
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
result.dev/mac
Result retweeted
Switch to Result!
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
Result retweeted
yet another upside of switching to open weights: less censorship ⚡️
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
Result retweeted
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
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
result.dev/mac
Result retweeted
my favorite feature is connecting my iphone anywhere in the world and using my mac as compute
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
result.dev/mac
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
result.dev/mac
Result retweeted
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
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
result.dev/ios
Result retweeted
Oopps! Somebody just cracked the code!
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
result.dev/ios
Result retweeted
what siri should be like and is not
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
result.dev/ios
Result retweeted
This is the personal agent Apple should’ve built. On-device, supports ApplePay, and even local passwords.
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
result.dev/ios
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
result.dev/ios
Introducing Sodium!
1/ Introducing Sodium
Sodium turns all your website’s existing features into WebMCP tools so AI agents can discover and use your site directly.
> 2 minute setup
> 2.82x faster
> 91x token efficient
sodium.result.dev
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