Beagle puts DeepSeek to work from Slack and Microsoft Teams - reading what it needs, drafting the work, and waiting for your nod.
DeepSeek is an AI-powered tool that helps developers quickly find, understand, and optimize code using natural language search and contextual suggestions. It integrates seamlessly with your workflow, offering insights into your codebase to improve productivity and code quality. Perfect for teams and solo developers, DeepSeek simplifies code navigation and accelerates development.
One thread: ask about your DeepSeek in plain language, and Beagle steps in on its own when something moves. The same conversation in Slack, Microsoft Teams, or Gmail.
@beagle what's the latest from DeepSeek?
Two outputs need you today - both linked below with what changed. The next step is drafted, one nod from going out.
A job finishes or a result comes back - Beagle catches it in DeepSeek, pulls what matters, and is ready to summarise it and draft the next step. It goes out when you nod, not before.
With DeepSeek connected, from day one.
Beagle keeps an eye on DeepSeek. 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 DeepSeek and everything else it's connected to, in plain language.
One teammate across both tools. No zap to build.
Yes. Connect DeepSeek 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 DeepSeek for when a job finishes or a result comes back and is ready to 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 DeepSeek - 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 DeepSeek workflows by hand.
