
Chris Kim
6K posts



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.

We desperately need a smart model router. 1. We’re seeing a model explosion: GPT-5.6, Grok 4.5, Muse Spark 1.1, GLM-5.2, and Fable 5 all launched within the past month. 2. Even for a single model family like GPT-5.6, there're 3 (Sol, Terra, Luna) and 5 reasoning-effort levels. That is far too many decisions for users to make manually. The best model should be selected automatically based on the task, latency, quality, and cost.

GPT-5.6 Sol is a breakthrough in complex reasoning and data analysis. Here, it analyzes hundreds of pages across a lending deal, reconciles terms across agreements, financials, diligence, collateral, and risk materials, flags issues, and saves a source-cited report to Box.

The new ChatGPT voice is quite impressive to use, really worth a minute to try it out on your phone. (while staying aware that the voice model is not going to be as smart as a full thinking model)





.@OpenAI just announced ChatGPT Work, and you can use these new features with the Box plugin today. The Box plugin, powered by the Box MCP server, is available in the new ChatGPT Plugin directory. That means that all of your workflows in ChatGPT Work - across Finance, Legal or Ops - can be grounded in your governed enterprise content in Box. In this demo, the agent reads a deal workspace, drafts the credit memo from the source documents, and saves it back to Box, where classification and approval routing take over.



Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.


Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.

Want to learn how to build a company brain for your agents? 🧠 Join @chriskim_dev & @41five from the @box devrel team on July 28th at 4pm PT for our webinar on creating a governed memory layer with Box APIs and MCP. All code, no fluff, sign-up at: events.zoom.us/ev/AnJFdyO9sHq…


If I could only follow one person on X, it would be @levie, CEO of Box. We sat down to speak about why the REAL economy hasn't felt AI yet, the "model overhang" between capability and adoption, and what founders should actually build now that software is cheap. 00:00 - Cold open: agents use data like people do 01:53 - Is Redwood City the new AI epicenter? 05:18 - 90% of enterprise data is unstructured and was never automatable 07:46 - The model overhang: capability is outpacing adoption 10:35 - Why coding got the fastest AI takeoff 16:24 - Inside Box's agent-first rebuild 19:15 - Headless SaaS: agents will outnumber humans 100:1 25:41 - Model routing + why the applied layer wins, even bitter-lesson-pilled 27:45 - GTM is the new moat Checkout Navigators, our new pod on Youtube, Spotify, and Apple Podcasts!

We evaluated Muse Spark 1.1 from @AIatMeta Superintelligence Lab on Box’s Complex Work Eval. It was competitive with top-tier models, especially on structured data analysis and report drafting. The takeaway: models matter, but governed content is what makes enterprise AI useful at scale. Read more.👇 blog.box.com/muse-spark-11-…

Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. You’ll want to turn the sound on for this one.

