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Here's Operator organizing a Box account by moving content into relevant folders it created. The magic though is that it understands multiple names for the same company and organizes them correctly. You'll be able to just offload large annoying work to AI Agents.

88,096 次观看 • 1 年前 •via X (Twitter)

11 条评论

Chirag Modi 的头像
Chirag Modi1 年前

RIP first year investment banking analysts

Fast Company 的头像
Fast Company2 年前

#AI agents: from tools to teammates. Software that can act, react, and interact with both humans and other agents will transform how businesses operate—and how they should invest in technology. This @EY_US article explains more. #ad

Stefan Behrendt 的头像
Stefan Behrendt1 年前

Shouldn’t that already have been done by box itself 😀

Todd Saunders 的头像
Todd Saunders1 年前

Why does it even have to show you the UI, why not just do the task. I feel like showing the UI is just marketing

Taimur 的头像
Taimur1 年前

The future is agentic! We are doing just this with @doksihq but for support content!

Ali Heib 的头像
Ali Heib1 年前

AI Agents like Operator are seriously changing the game! They can handle the heavy lifting of organizing files effortlessly.

Dwayne Samuels 的头像
Dwayne Samuels1 年前

i know you can’t wait on the api

Spencer Schiff 的头像
Spencer Schiff1 年前

@TheRealAdamG Not just annoying work — also highly creative work

korben 的头像
korben1 年前

actually such a good use case since it can also analyze images and other relevant metadata to further improve organization.

IIl7623 的头像
IIl76231 年前

Box didn’t have the ability to understand names and organize folders before? LLMs have been around years. What have you been doing?

Rufus 的头像
Rufus1 年前

Impressive, I will have to try it out

相关视频

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 次观看 • 11 个月前