Eagle T.

Building agent-native interfaces | prev built enterprise AI @AWS | prev incubate & invest @ YZi Labs

[Eagle T. @EagleTong3]

@OpenAI 👏🏻 got notification on Codex minutes ago that 5.6 Sol is retiring

[Eagle T. @EagleTong3]

@mignano The current interface will remain for humans, but a new one will emerge for agents.

[Eagle T. @EagleTong3]

The next web will be built for agents to act.

[Eagle T. @EagleTong3]

@typesfast Building agentic web now🙌

[Eagle T. @EagleTong3]

@patriciawexler @apartovi @saranormous Building the agent connectivity layer for business 🙌

[Eagle T. @EagleTong3]

@mchlhess Few months later, will be only two agents talking 😂

[Eagle T. @EagleTong3]

This is fast! Seeing a lot of people asking for this lately.

We’re building the “trusted network” for business agents too. 👀

[Noah Shinn @noahrshinn]

Introducing our Trusted Person network powered by our new Instinct-to-Instinct communication protocol. Your Instinct can now talk to other Instincts to coordinate plans on your behalf.

Getting people together often involves a lot of back-and-forth: finding a time, working out the details, and following up when plans change. Instincts can now work with each other to help handle that coordination.

For example:
- Coordinating plans with your spouse
- Planning a weekend trip with friends, including dates and arrival times
- Scheduling time with colleagues and other collaborators
- Hosting events with 10s or 100s of people
- Organizing recurring plans like tennis, book clubs, or weekly dinners

Disclaimer: Your Instinct will only be able to communicate with those in your Trusted Person network. This is the group of people who are closest to you:
- Spouse
- Older children and parents
- Colleagues and trusted professional relationships
- Small local businesses

The Trusted Person network is currently available to our early access group and will be slowly rolled out across the user base over the next 24-48 hours.

[Eagle T. @EagleTong3]

Competitive sports and startups are a lot alike.

Everyone starts from the ground, and sometimes you get knocked back there again and again.

Be confident, but low ego. Even when you lose, keep your head up, learn from it, and keep going.

It’s a long game. Never say never.

[Eagle T. @EagleTong3]

@paulg 100%. That’s one of the most fascinating parts of building. The first idea is often just the doorway to the real one

[Eagle T. @EagleTong3]

Agent-native interfaces are coming. WebMCP is an important step, but there are much bigger opportunities beyond adapting today’s web.

[Guillermo Rauch @rauchg]

Super bullish on WebMCP. Much like Tesla FSD meets the world where it is (streets, stoplights, potholes and all), agents *need* to ride the existing WWW infrastructure… WebMCP makes it more efficient.

Some pretty unique wins too. e.g: Next.js dev pages could expose debugging tools directly to agents in the specific tab they’re testing, with page-specific context, instead of sifting through server logs. No separate MCP server to find and configure because the page directly exposes its own 'agent tools'.

e.g: in this world 𝚏𝚡 + 𝚊𝚐𝚎𝚗𝚝-𝚋𝚛𝚘𝚠𝚜𝚎𝚛 is a complete web dev stack with zero loss in debugging depth

[World Labs @theworldlabs]

Introducing Atlas:

The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.

Model the world, move the camera, and simulate space & time.

[Eagle T. @EagleTong3]

Once agents become persistent representatives of people and companies, the next major capability is not better individual intelligence. It is agents interacting directly with other agents on behalf of different principals.

[Eagle T. @EagleTong3]

This unlocks a lot for enterprises

[Applied Compute @appliedcompute]

Today, we're introducing AC2, the Applied Compute Agent Cloud, to enable every team to train, serve, and improve their own frontier models.

[Eagle T. @EagleTong3]

The new system of record will be created as agents do the work, capturing the context, decisions, artifacts, approvals, and outcomes of the workflow itself.

[Garry Tan @garrytan]

Prediction: systems of record will need to become AI harnesses or face replacement by agents

[Eagle T. @EagleTong3]

@joannezchen @realleolu Love this! As agents become users themselves, every product will eventually need both a human interface and a machine interface.
Just ran our site through it, got some work to do. Improving it now 👩‍💻

[Eagle T. @EagleTong3]

@JenniferHli 🙌 This resonates a lot. We’ve been supporting immigrant founders through OneRise. So many talents just need the right community and support. https://t.co/OYAFXmLE2R

[Eagle T. @EagleTong3]

@eladgil This is one of my fav bookstore in NYC!

[Eagle T. @EagleTong3]

This story never gets old.

What looks like a dead end might just be a turn.

[a16z @a16z]

.@bhorowitz on how a game studio turned it's last $6 million into Slack:

"Stewart calls me. He says, 'Ben, I've got $6 million left. I have no way to raise money because I've made really no progress. So I've got three choices. I can pray for rain and try and finish it, I can shut down the company and give you your $6 million back, or we built this tool that we use in our engineering team to communicate with each other, and I could just put that out as a product.'"

"I'm like, 'What? You just built some tool to talk to each other and you want to put that out as a product? And you're a consumer guy, and you want to become an enterprise software guy?'"

"$6 million is not gonna make any difference in my life. If you really think it's a good idea, go ahead."

Ben Horowitz Talks Honesty, Failure, and Secrets at UC Berkeley (2016)

[Eagle T. @EagleTong3]

@adityaag @jxnlco @spc Congrats! A valuable community for founders!

[Eagle T. @EagleTong3]

@JeffDean @Sanjay_Ghemawat @OriolVinyalsML @quocleix @DiscoLoopAI Congrats!