mick

I have to post it again because I’m so excited about it. I was featured in a video with @cursor_ai and I just can’t stop smiling about it. cursor.com/blog/box

@steipete How are the build tools? Have you ran into any issuses?

I started updating a few of my Macs to Golden Gate and it's a pleasantly boring performance update.

@jasonfried These are fantastic

Period correct.

Grok places second after Fable on real-world software engineering

Perfect place to run my agents from. I have about 6 Grok 4.5 agents grinding through implementing a test ontology for my secret project. 5.6 Sol extra high coordinating it all while I sit in the time machine. The future is so weird but awesome.

This is a banger. Related: @Box's agreements with model vendors prevent them from storing or training on your data in Box 😇

@aqvilegias I see @bcherny everywhere.

the way this is the exact moment she decided she was going to #bounceonthat

@vinitpaul6 Grok Heavy

@mickcodez Supergrok or X premium+?

There's a really good chance that I'm going to drop my Claude Max subscription down to Pro and invest that money in an XAI Grok subscription. And yes, invest is intentional. For next month, it will be Codex and Grok for me.

@iruletheworldmo I have a feeling I know what it is, but I'm curious...

ive been quietly using grok four five to make an obscene amount of money, i could explain exactly how, but then it would stop being funny, people still think these models are for writing emails, we are not playing the same game

@tobi Now you can store the HTML in @Box and render it anytime while also securely sharing it with your other doctors if needed.

My annual MRI scan gives me a USB stick with the data, but you need this commercial windows software to open it. Ran Claude on the stick and asked it to make me a html based viewer tool. This looks... way better.

@kenwheeler 5.6 Sol and Grok 4.5 is a killer combo for me right now.

i played with both 5.6 sol and fable/4.8 a lot this week. anthropic limited out in under an hour. repeatedly. i literally cannot put a dent in codex usage. fucking thing is just ripping.

@Awesome_O_AI I never stop

@mickcodez Optimizing your stack is part of staying competitive in the AI era

We dropped a 30-page office lease into Box AI and asked @grok 4.5 one simple question: what would it actually cost us to walk away after three years? The lease is written to make you think the answer is easy: six months' rent (about $267K) stated right in the termination section. But the real cost is scattered in pieces across the whole document. The termination clause quietly points to a defined term that, when you chase it down, pulls in leftover build-out costs and broker fees from two other sections. The "free rent" you were given at signing is really taken back by a separate clause if you leave early. And there's a cleanup-and-restore obligation tucked into an exhibit at the very back. You only get the true number if you find all five and add them up — across 33 sections and 10 attachments. Grok 4.5 nailed it: ~$830K, about 3x the number the lease wants you to see, and it showed exactly where each piece came from. Then it kept going, pointing out the costs that have no cap, the auto-renewal trap that kicks in if you miss a deadline, and which terms to push back on before signing. That's the difference between skimming a contract and truly reading one and it's the kind of careful, connect-the-dots work over long documents that real business runs on. And this is the power of the latest reasoning models right now on working with unstructured enterprise data.

Here's a wild idea... don't have the LLM run your test suite

At the @GTRI pitch competition and it's neat to see what people are working on. I also see so many opportunities here help and mentor. Going to be a great day.. I may have also pitched @Box HTML support to quite a few people 😂

This is really what it’s all about. Collapsing redundant coordination roles raises margins, while the output of a smaller resource pool grows. Or, if you want to keep margins the same, you can scale output tremendously without scaling the workforce, assuming the work is there.

@pkuhar @pkuhar you just don’t miss! I’m still using your Meta Rayban prototype charger. Let me know if you need a beta tester for this device!

The website for pre-orders is up, it'll ship in 2-4weeks. There are 200 units of SidePulse (sd-card slot) and 200 units of PulseDot (usb-c) available. sidepulse.io/sidepulse.html

I'm exploring 3 options for the AI Agent ambient status display that fits into the SDCard slot of the MacBook Pro. I'm kind of set on one, but I'd love some feedback. I also have a name and domain. It's SidePulse.

@hnshah You should check out what we're doing with HTML and agents at @Box Would love your feedback!

In my AI session today about using HTML with AI tools, I shared Notion’s new HTML blocks that are incredibly useful. I also spoke about my disappointments with the product. It feels like Notion has too much surface area and lots of paper cuts that add up to user frustration (imo). This makes me sad. The team and people are incredibly talented but the product feels like a Microsoft product that requires a PHD to get the value that the company is prescribing. It doesn’t help that Notion uses Notion but has been for many years. That can easily make a company out of touch with new users and actually make the cold start problem much more worse. An eco-system of implementation partners (ala Salesforce, HubSpot and Clay) is ultimately the solution if the product isn’t able to be made less confusing upfront. But with AI and the speed the team could improve the product, I still have hope. You can compress a confusing and complicated product down because a real AI front door can greatly reduce complexity and make the use cases feel very intuitive. I’m seeing that with new products I’m personally working on.

The reason I have an unhealthy obsession with AI right now is because I've spent my entire professional life on essentially one problem: how do you increase the value of content in the enterprise. How do you secure it, how do you collaborate on it, how do you govern it, and how to integrate it across all your applications. But there's been one glaring issue that we've dealt with since the founding of Box. We could never really process information at scale in any real automated way. There have been many attempts at this problem (often in the search space), but nothing that really fundamentally transformed what you can do with enterprise knowledge. For years the primary kind of data that we could query, analyze, and process with computers was structured data. This meant anything you could shove into a database you could understand with computers - your CRM, ERP, product analytics, HR, and other data. But all of the unstructured data that powers our daily knowledge work - marketing assets, contracts, financial documents, medical research, engineering documentation - was only valuable when a human was operating on it. There was just simply no real way to apply automation at scale to any of this data, which meant all knowledge work was largely rate limited by our ability to process information ourselves, often manually. AI models have obviously dramatically changed this reality. And the past couple weeks perfectly highlight this incredible progress. GPT-5.6, Fable 5, Grok 4.5, Muse Spark 1.1, and a leading array of open weights models are all showing incredible advancements on working with unstructured data. The inherent broad intelligence, reasoning, math, and coding skills in these models, combined with deep domain expertise trained into them across finance, legal, healthcare, life sciences, and other critical fields, means that we're able to completely change what we can do with this unstructured data at scale. What this unlocks is the ability to ask insanely complex questions of your data that were never before possible, and let agents just run on for minutes or hours across these data sets to accelerate knowledge work. And it's not just about automating the work that we already do. While this is highly valuable, it wouldn't be particularly transformative. What's exciting is that you can now throw compute at unstructured data problems that wouldn't have been possible before. Analyze every risk on my contracts, do due diligence more deeply on a prospective investment or acquisition, look through all past client interactions in an industry to find best practices to replicate, comb through life sciences research or clinical trial data for new insights, and on and on. So that's why we're insanely excited about what AI Agents can now do with content on Box.