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RT @NewsFromGoogle: Yesterday, we began rolling out Gemini 4 Argon — our newest frontier model that excels at complex, real-world tasks across coding, finance, legal, cybersecurity, and science — more widely. We gave early access to enterprise customers and startups, who have already seen strong wins with Argon. Here’s what those teams — including those at @Deloitte and @Box — and more had to say ↓

RT @rutujarajwade13: Our love language is gifts: you can now sign up for a FREE @Box developer account at 💙

Today is National I Love You Day.

3 weeks until BoxWorks brings the enterprise AI community together in San Francisco. We’re grateful to our Premier Sponsors @awscloud, @Deloitte, @googlecloud, @IBM, @TCS, @DataBank_Ltd, and @MicroStrategy, and to all our partners helping organizations put Content + AI to work. Join us November 5–6 to meet our partners, explore their solutions in the Expo Hall, and see what’s next for enterprise AI. Register today:

RT @41five: Another spin on running agents in the open source MXC sandbox from @Microsoft, this time with a Box Mount-backed workspace. Fun to see all the pieces working together 🤙

🚀@Microsoft Execution Containers (MXC) provide policy-driven, sandboxed execution across Windows, Linux, and macOS. Box Mount runs inside that sandbox and maps a Box folder to a standard POSIX path, with two-way sync and Box permissions and governance applying automatically. In this demo, the agent reconciles fictional invoices, purchase orders, and payments using deterministic tools. It identifies six exceptions including duplicate records, a missing PO, an over-limit invoice, and unpaid invoices. The finished Markdown review and Excel exception workbook sync back to Box through Box Mount. MXC is the isolated execution layer, and Box Mount is the governed content layer. The result lands in Box, ready for human review. Demo ↓

Get started with Box Mount here:

Get started with Box Mount here:

RT @yashbhavnani0: Exciting day! Gemini 4 Argon is here, and it’s a significant leap forward for complex knowledge work. In @Box’s evals, which reflect the work our customers do, it reached 85% accuracy, up from 71% for Gemini 3.1 Pro. What personally stood out to me: an incredible 93% on both data analysis and report drafting. In one task, it showed how a company could launch sooner using stock it already had. In another, it spotted that an investment memo needed two more approvals—something the previous model missed. This is critical for our customers: one overlooked detail can delay a launch or leave a decision without the right approvals. Gemini 4 Argon checked the details and finished the job. We’re excited to be a @google launch partner! Gemini 4 Argon is now available in Box AI Studio and Box AI for our customers to use in their workflows. You can read our full evaluations here:

Today, Gemini 4 Argon is officially rolling out.

We put Gemini 4 Argon from @GoogleDeepMind to work untangling an insurance billing dispute across 12 documents and 2 policies. In Box AI, Argon traces a payment credited to the wrong policy and catches a bank return that changes the balance. Argon also reconciles the customer’s expected premium credit with the carrier’s final amount. The statement shows $6,000. The customer expects $4,200. Argon generates a cited review explaining why $6,800 remains due after recommended corrections, with a draft customer response for human review. Build custom agents for your own insurance workflows with Box AI Studio.

Learn more from our evaluation:

Gemini 4 Argon from @GoogleDeepMind is built for complex, multi-step work. We ran it against Gemini 3.1 Pro on real enterprise document tasks: pull the source files, reason across them, produce the actual deliverable. → Overall accuracy: 85% vs 71% (+14 points) → Data analysis: 93% vs 70% (+23 points) → Life sciences: 88% vs 61% (+27 points) → Healthcare: 87% vs 57% (+30 points) The gains land where the work has to be carried all the way through: reading evidence out of figures, covering the whole batch, and acting on its own findings.

Gemini 4 Argon is now globally available. Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.

Read our full evaluation:

RT @levie: At Box, we've been testing Gemini 4 Argon on our Box AI Complex Work eval for the past week. It's a huge upgrade over Gemini 3.1 Pro, jumping by 14 percentage points across all our tests, and firmly at the frontier. In our evaluation, we give the Box Agent (using Gemini 4 Argon) a variety of complex enterprise tasks involving enterprise documents in a range of industries. These tasks approximate the kind of hard, time-consuming work that knowledge workers do every day with their enterprise content. Gemini 4 is a huge leap on effectively every dimension of this work. Gemini 4 is far more capable on math, logic, analytics, and deep knowledge of a variety of business domains. It also works far harder to complete tasks fully without stopping short of the desired result. This is incredibly important for complex enterprise workflows that depend on robust task execution. Here are some example wins that we saw to put the improvements in perspective: * Financial services (+18 points): a funding-gap analysis for a family-owned company, where the brief spelled out every step of the projected statements, down to the interest on the bank loan and the overdraft for each year. Gemini 4 Argon built them exactly as specified, every line broken out and carried through to the funding gap. Gemini 3.1 Pro folded the interest into a single figure. * Healthcare (+25 points): an intensive care management plan where both models spotted a dangerous potassium level and a drug interaction. Only Gemini 4 Argon went back and pulled the offending drugs from the final regimen, so its plan actually matched its own diagnosis. * Technology (+37 points): a product performance review deciding which of two regional markets should have its cloud infrastructure optimized first. Gemini 4 Argon pulled the right month's user, retention and per-user figures for both regions and correctly flagged North America. Gemini 3.1 Pro often pulled the wrong rows, at one point reporting retention above 100%, and pointed the effort at the wrong region. * Energy (+16 points): an energy consumption report across two facilities that had to flag any gaps in the meter data. Gemini 4 Argon consistently caught that the data center's smart meter log stops in November. Gemini 3.1 Pro often missed it, at times declaring the logs complete. * Consumer products (+33 points): a product launch evaluation deciding which production expansion to fund. Gemini 4 Argon saw that existing inventory could bridge an early capacity gap, which made the smaller expansion viable with an earlier launch and a faster break-even. Gemini 3.1 Pro defaulted to the larger expansion and the later timeline. Gemini 4 Argon will be available in the Box AI Studio shortly for anyone to build custom Box Agents with.

Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it!

RT @crtr0: We are 3 weeks out from the first ever BoxWorks Dev Summit! We'll be exploring how AI is unlocked by unstructured data with: - @ivanburazin / @daytonaio - @charlierguo / @OpenAIDevs - Joey Conway / @nvidia - @sobtiankit / @getpostman Plus, hands-on workshops from @awscloud , NVIDIA, OpenAI and @Docker. If you're in the SF Bay Area, we have a limited number of free passes for devs, use the link below to RSVP!

Box Mount lets developers mount Box as a filesystem directly in any agent sandbox, so agents can work with files and data just like a person would. In this article, we show how it works with @DigitalOcean, @E2B, @OpenAI, and @vercel.

RT @rutujarajwade13: I’ll be going into how Box Mount (and so much more) helps developers and platform teams work with their unstructured data in @Box at Box Works in SF on 11/5! Sign up to attend on our site 💙

A sandbox agent shouldn’t need custom download and upload steps for every document it touches. With Box Mount, Box content appears at an ordinary path inside a @digitalocean sandbox. The agent works with the files there, and its output syncs back to Box for review. Demo 👇

RT @WeAreLegora: In Q3, we brought more of the work lawyers do every day into Legora, from finding the right precedent to refining a draft and presenting their analysis. Our releases and betas introduced new ways to work with @iManageinc Cloud documents and expanded integrations with @Box, @Ironclad_inc, and @DatasiteGlobal. Teams can review and edit the Agent’s changes to Word documents directly in Legora and turn legal analysis into editable PowerPoint presentations. We also introduced more control over Agent plans, project sharing, and downloads. Each update makes Legora more capable as a connected system for legal work, bringing the knowledge that teams rely on into the work they deliver. Here are a few highlights from Q3.

We built a private credit deal workflow on Box that runs from a forwarded email to a signed credit agreement. Box identifies the borrower even when the documents call it three different names, and AI agents draft a borrower summary with every figure linked to its source. Credit teams run the book from a purpose-built app on Box Apps so analysts and the committee can make the calls.

RT @crtr0: I joined Box in January because I was excited about a completely new category of software devs could build using unstructured data and AI. This Nov 5-6 we're bringing together engineering leaders from @Box @awscloud @nvidia @OpenAI @getpostman @daytonaio & @Docker for the first ever BoxWorks Dev Summit to dive into these new capabilities and talk about what's next. We'll have 2 days of keynotes, technical sessions, live demos, hands-on workshops and plenty of networking opportunities. If you're in the Bay Area, we have a limited number of free passes for devs, please register below and let us know you'd like to come!