Sr. Developer Relations Engineer @ Box
San Francisco
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Had a blast talking “company brain” at @lightsagehq's demo night yesterday!
Huge thanks to @jun_liang_sf and @sean__er for having me. And congrats on the funding! Great guys building some seriously cool stuff 🚀
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Great turnout at the @Box booth at @WeAreDevs this afternoon!
Everyone was definitely here to learn about AI agents and filesystems. The raffle was purely coincidental 😬
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Come nerd out with us for two days on agents, sandboxes, file systems, and all the fun stuff we’ve been building with lately 🤙
New this year, join us for the first ever Dev Summit at BoxWorks. If you’re building agentic and content-driven enterprise applications and workflows you won’t want to miss this!
2 days of technical sessions and hands-on workshops covering everything from the latest in agentic sandboxes to file systems for agents. Speakers from @nvidia, @OpenAI, and Box and more coming soon! November 5-6 in San Francisco.
Register here: boxworks.box.com/series/boxw…
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All that time reading about AI finally has a purpose: winning trivia 🤠
We’re co-hosting a @WeAreDevs pre-party at Guildhouse in San Jose. AI trivia, board games, tacos, and a little friendly competition. Come hang!
luma.com/prtcc7pw
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Andrew Wong retweeted
Testing Jev since yesterday. Love seeing Khaneman's system 1 in practice. Such a great developer experience, elegant solution, and amazing launch. Well done @typesafeai! ✨ Stay tuned for a full article
🆕@typesafeai dropped Jev this week, a new frontier model optimized for decisions. We put it to work on an incident triage workflow in Box.
Jev doesn't generate text. You send it state plus typed questions and it returns booleans with probabilities, enums, and scores in a single pass, so there's no output to parse and no schema to keep in line.
The demo uses Jev to classify and route incidents. It pulls the incident report from Box, builds the state, asks whether it's customer-facing and how severe it is, moves the file into Escalate, Monitor, or Review folders, and sets a metadata template instance with the result.
The answers comes back with a confidence estimate, so anything below threshold goes to Review for a human instead of routing itself.
Check it out.👇
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Andrew Wong retweeted
Seattle is gearing up for @hacktoberfest 🎃🌲
This year's focus on open models is awesome and I'm just so impressed by the work that the team at @MLHacks has done to roll-out this global event.
Find an event near you! hacktoberfest.com/fests/?q=s…
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Pretty sweet. Legal AI needs more than the law everyone can look up. You also need the context buried in years of contracts, playbooks, precedents, matter files, etc.
@OpenAI Astra for Law's got the first covered. @Box helps it work with the second without losing track of who can see what
Box and @OpenAI are partnering to bring governed enterprise content to AI-powered legal work with Astra for Law and @ChatGPT. Legal skills built on Box and ChatGPT help law firms turn their content into practical, secure workflows without weakening the controls around it.
In this demo, a legal professional uses the new Outside Counsel Guidelines skill to review an incoming set of OCGs directly from Box. ChatGPT flags associated risks and leaves comments for human review, all without the content leaving Box.
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Arguably, the most important file in this demo isn’t even in the repo. @vercel's fx pulls the security policy from Box, uses it to fix and test the local app, then saves the proof back alongside the source document
It just works 🤙
🚀@vercel's’ fx is a tiny open-source coding agent built to take action directly in a developer’s workspace. This demo extends that idea by giving fx access to the security policies, requirements, and release docs stored in Box.
Using the Box CLI, fx retrieves an approved policy, compares it with local code, edits the files, adds missing test coverage, and prepares release evidence without being told which lines to change. It asks for human approval before uploading anything, then verifies every file after it lands in Box.
Git stays where the code lives. Box stays where the approved docs and release proof live. fx connects the work across both.
Demo below ↓
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Going to @WeAreDevs in San Jose? 🎮
Come check out AI Trivia and Game Night, Wed Sept 23, 5-7pm at Guildhouse. 2 min walk from the convention center.
Food, drinks, games, and the DevOps + SRE crowd.
Hosted by @pagerduty, Box, @arizeai, and @EntireHQ.
RSVP 👉 luma.com/prtcc7pw?tk=byxXsF&…
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Docs are much more useful when their data becomes queryable and the receipts stay attached. @Box Extract pulls the facts, Doc Gen makes them readable, and @Snowflake makes them easy to compare. Neat little pipeline 👌
Box + @Snowflake turn financial documents into queryable history, without losing the path back to the source.
Most financial research workflows follow the same pattern: extract details from documents, write a summary, copy numbers into another system, and hope everything can be retraced when someone asks where a figure came from.
This Python demo closes that loop. Box Extract transforms PDFs into structured financial data while preserving confidence scores and page references. Box Doc Gen produces a readable, sourced memo. Snowflake stores common fields alongside the complete JSON payload, creating queryable records that can be compared across quarters or companies.
The result is unstructured documents become useful data while every number remains connected to its source.
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Check out @olga_stefaniuk's fantastic app and writeup here: blog.box.com/build-sourced-i…
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Andrew Wong retweeted
Talks from this past year's @devrelcon are up! 📺
Thanks to everyone who joined me for my talk on "Touching Grass in the Age of Agents", it was a fun talk to give and loved the conversations that I had with folks afterwards.
And thanks to @MLHacks for organizing! It was an A+ conference and can't wait for next year ❤️
piped.video/watch?v=83Mn3jOA…
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Box Mount brings Box content into a workspace and syncs the work back
More 50 years after Unix, the filesystem is still one of our most useful ideas - now for AI agents working in sandboxes 🤙
🆕 @OpenAIDevs Agents API gives developers a hosted sandbox where agents run tools, coordinate work, and handle complex tasks. Box Mount brings enterprise content directly into that sandbox as files the agent can read, reason across, and produce new work from, using normal shell commands and file paths while Box Mount handles two-way sync automatically.
In our demo, a lead agent mounts a deal room from Box, reads five source files, launches three specialist agents in parallel, and writes four reports back through Box Mount with an initial verdict. When a customer revises the MSA in Box, Box Mount syncs the new version into the same sandbox and the agents reassess automatically, refreshing all four reports while preserving the revised MSA as version two in Box.
The result is a shared workspace where people and agents work on the same governed Box content without building custom file-transfer logic, with permissions, versions, and audit history preserved throughout.
Box Mount is in private preview. Watch👇
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Last week I played around with one of the coolest parts of 🦞 OpenClaw 2.0: giving an agent a recurring job with live content in Box
The demo uses a deal room, but I kept thinking of other places this could work. So I wrote up a few thoughts 👇
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Really cool work from @olga_stefaniuk showing how easy it is to get Box + Claude Managed Agents working together 🙌
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Andrew Wong retweeted
We just raised $4M at @lightsagehq , led by @nexusvp , to build the growth stack for internet’s newest customer: AI agents.
Claude Code, Codex, Cursor and other agents can already discover products, compare alternatives, read documentation, install SDKs, call APIs and start using software on behalf of humans. Soon, they’ll increasingly transact too and that changes how internet companies grow.
For decades, companies built growth infrastructure around humans. PLG helped humans adopt products. Now there’s a new journey to optimize: Can an AI agent discover you, choose you, successfully use you, and eventually pay for you?
We call this Agent-Led Growth.
Lightsage helps companies get discovered, recommended and used by agents
→ Agent Discovery - when and why agents recommend you vs. competitors
→ Agent Experience - whether agents can successfully use your APIs, SDKs, CLIs, MCP servers and agent skills
→ Agent Analytics - what real agents do when they reach your website, docs and product. and most recently agent-attributed traffic conversion.
Companies including @firecrawl , @reductoai , @daytonaio , @rimelabs , @Tiny_Fish and @insforge are already using Lightsage to build their agent-led growth strategy and improve their agent journey.
We’re incredibly grateful to have Nexus lead this round alongside these amazing founders and operators.
- Former Salesforce CTO Steven Tamm
- Postman CEO @a85
- Apollo CEO Matt Curl
- DocuSign President Robert Chatwani
- Former GitLab Head of Growth @HilaQu
- Resend CEO @zenorocha
- Firecrawl Co-founder @ericciarla
- Daytona CEO @ivanburazin
- Tinyfish COO @shuhao_friday
- Adam Frankl
and many more!
As agents increasingly discover, evaluate, use and pay for products on our behalf, we believe every company will need to understand and optimize for the agent channel.
That’s what we’re building Lightsage for.
Huge thank you to my co-founder Sean Er, customers, early investors @AlchemistAcc and everyone who believed in us early. Honoured to be featured in @Forbes .
We’re just getting started.
lightsage.com
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Agents can work with Box content through a familiar filesystem inside the sandbox. Their changes sync right back.
Excited to see what developers build with Box Mount 🤙
We’re introducing Box Mount.
Mount a Box folder into a sandbox like @e2b and keep it in two-way sync. The agent reads and writes Box content with standard file operations as if they were local. Every operation flows through the Box API so governance applies automatically, no custom policy code required.
2 commands to get started:
agent-mount config
agent-mount mount "/mnt/box" "<box-id>"
Developer Preview is now open.
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One prompt, one loop, and a Box deal room that keeps its own risk register current. Man, this was a fun one to put together 🦞
OpenClaw 2.0 is out and /loop is now part of the stable release.
Connected to Box, here's what that looks like. One prompt connects @openclaw to an M&A deal room via the Box CLI and starts a recurring check. When a signed customer renewal lands in the folder, OpenClaw catches it on the next pass, connects it to the existing risk register, updates the relevant deal context, and saves the update as a new version of the same file in Box, with the agent identity preserved throughout.
Start it with one prompt. Stop it with /loop stop. OpenClaw keeps up with the work as it changes, and Box stays the source of truth.
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