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>>>𓊝Argo_x_ElizaOS_Redefining_AI_Agents︎𓊝 First-ever Visualized Workflow Seamlessly build and manage AI processes. >>Transparent & Traceable Node System Every step, Every decision, Fully auditable. ai16zdao's elizaOS has pioneered groundbreaking work in AI agent frameworks, and Argo is proud to be fully compatible. Together, we are building the next-gen AI automation system with...

44,891 次观看 • 1 年前 •via X (Twitter)

8 条评论

Rootless 的头像
Rootless1 年前

@ai16zdao @elizaOS bravo!👍👌😻

Sepideh NFT(Ø,G) 的头像
Sepideh NFT(Ø,G)1 年前

@ai16zdao @elizaOS Niceeee

Fatemeh Hayati 的头像
Fatemeh Hayati1 年前

@ai16zdao @elizaOS Goood

Legion Aka CryptoAzrael🦇🔊 的头像
Legion Aka CryptoAzrael🦇🔊1 年前

@ai16zdao @elizaOS Looks promising

Biniyam Tekle 的头像
Biniyam Tekle1 年前

@ai16zdao @elizaOS Hi

charoenthum 的头像
charoenthum1 年前

@ai16zdao @elizaOS Good

Mahboob alam 的头像
Mahboob alam1 年前

@ai16zdao @elizaOS WOW nextwave

miracle John (✸,✸) KGeN 的头像
miracle John (✸,✸) KGeN1 年前

@ai16zdao @elizaOS Let go

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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 • 10 个月前

We're not chasing AI. We're chasing journeys that end safely, where the failing part gets caught before it fails. We're not chasing AI. We're chasing food you can trust. What's on the label is what's in the package. We're not chasing AI. We're chasing medicine you can trust, every result traceable to the evidence behind it. We're not chasing AI. We're chasing products that don't break. Quality proven, not promised. We're not chasing AI. We're chasing buildings that stand, every safety decision on record long after the cranes are gone. We're not chasing AI. We're chasing infrastructure that holds: the power, the water, the networks a society runs on. We're not chasing AI. We're chasing sport that stays honest, performance and decisions you can actually check. We're not chasing AI. We're chasing a world where you can still tell what's real, where fake news and deepfakes meet a record they can't forge. And we're not paying for the same answer twice. Most AI forgets. Every agent starts cold, re-deriving what another agent worked out an hour ago. Same tokens, same cost, same question, again and again. We built the opposite. Every decision becomes context the next agent inherits, so nothing gets solved twice. Knowledge compounds while the cost curve bends down, and the hundredth agent runs leaner than the first. We never set out to build AI. We set out to do one thing: make facts traceable. Every answer tied to its source. Every objective tied to a real outcome it's meant to serve. That's the foundation, and there's no other. AI works for your organization only when it stands on facts you can follow and goals that matter outside the model. Take that away and even the most fluent system is just a well-spoken guess. Give it traceable facts and real objectives, and AI stops performing for you and starts working for you. That's what nOS, our Network Operating System, powered by OriginTrail, is for. That's what Trace Labs is for. Not chasing AI. Chasing trust, and refusing to waste a thing getting there.

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424,956 次观看 • 1 个月前