Daphné Popin retweetledi
"9 months later but 9 times better"
We're releasing a deep-dive agent that has access to your entire company data (structured and unstructured) and all the MCP tools connected to a Dust workspace to perform high level tasks on longer time horizons.
It has taken over a number of weekly multi-hours tasks that used to be done by humans including our team.weekly meeting preparation as well as aggregation of user testimonials and feedback from call transcripts. I used it last week during a call with an investor to generate a specific retention graph they were asking for, sharing the results before the call was ended instead of going to our data team.
Yes it's 9 months after deep research. But this is definitely 9 times better if your goal is to get things done at work.
It has access to all our unstructured data presented as a file-system (notion, slack, drive, ...), all our data-warehouse with discoverability capabilities, and all of the MCP servers connected to our Dust workspace.
The team has been using it increasingly shifting from custom agents accomplishing tasks to deep-dive based-agents accomplishing outcomes.
7 different technical initiatives went into enabling deep-dive in Dust. We're diving into the detail of each of them in the blog post below. A great read if you're looking to use or build long-time-horizon agents.
blog.dust.tt/building-deep-…
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