Watches Hugging Face
Beagle keeps an eye on Hugging Face. When a job finishes or a result comes back, it catches it and brings the context to your channel.
Beagle puts Hugging Face to work from Slack and Microsoft Teams - reading what it needs, drafting the work, and waiting for your nod.
Build, train and deploy state of the art models powered by the reference open source in machine learning.
With Hugging Face connected, from day one.
Beagle keeps an eye on Hugging Face. When a job finishes or a result comes back, it catches it and brings the context to your channel.
It can summarise it and draft the next step - then waits for your nod before anything is saved or sent.
Ask "what's the state of our outputs?" and Beagle answers from Hugging Face and everything else it's connected to, in plain language.
One teammate across both tools. No zap to build.
Yes. Connect Hugging Face with OAuth and Beagle works with it from Slack and Microsoft Teams - reading what it needs, drafting the work, and asking before anything goes out.
Beagle watches Hugging Face for when a job finishes or a result comes back, then summarise it and draft the next step. You can also just ask it questions about your outputs in plain language.
Every read is scoped to the teammate who asked - Beagle only sees what that person can already see in Hugging Face - and nothing is sent or saved until you approve it.
No. Beagle is the teammate in the middle. You talk to it in plain language instead of building and maintaining Hugging Face workflows by hand.
