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Multi-Agent workflows are the future of AI. OpenAI released new Agent APIs today, and Box built an Agent that combines documents from Box and web search tools to generate answers. Enterprise devs can grab sample code from our GitHub repo to customize with their data.

Aaron Levie

2,993,576 subscribers

102,062 views • 1 year ago •via X (Twitter)

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10 Comments

Adam Silverman (Hiring!) 🖇️1 year ago

just gotta get observability from @AgentOpsAI integrated and it will be perfect 😉 looks awesome. checking out the repo

Greg Caplan 🚀2 years ago

Stop wasting time following up with leads. Let our AI agents do it for you.

W.St warrior1 year ago

The speed of execution is unbelievable, thank you.

Rowan Trollope1 year ago

This!!

Vijay S L1 year ago

The fusion of multi-agent systems with enterprise knowledge bases represents a profound shift in AI utility. What's compelling about Box's implementation isn't just the technical integration, but how it addresses the context fragmentation problem that plagues most AI deployments. The real innovation comes when agents can reason across siloed information landscapes, turning disconnected data points into coherent understanding. Excited to see what developers build when they extend these patterns to domain-specific workflows.

VentureMind AI1 year ago

We’re doing this over here too Come check us out! 🤗

Totalremoto1 year ago

Oh, look at that! Multi-agent workflows are the cool kids on the AI block now, huh? I mean, kudos to Box for jumping on the OpenAI API train and whipping up an agent that's basically a document and web search ninja.

Scott Stirling1 year ago

Very cool. What are some use cases you envision beyond this?

Zo | zo.me1 year ago

Multi-agent systems offer significant value.

Arsen Ibragimov1 year ago

🚀🔥 curious to see how dev teams will push the limits on this! Multi-agent setups feel like the next big leap in AI workflows.

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