🐹 I’ve been building an open source project called OpenPocket recently. It’s a framework for phone-use agents. I believe this is a much bigger idea than it looks at first glance. If you’re into this space, I’d love to build it together. github.com/pockebot/openpock…

Agentic era on XRP Ledger.

We are proud to contribute to the development of agentic economy infrastructure on the XRP Ledger. With the x402 facilitator, agents can instantly settle payments using XRP or RLUSD on the XRPL. ⬇️ xrpl-x402.t54.ai/

AI made building cheap. Regulation made distribution expensive. Anyone can clone your demo now. Very few can bring proprietary data, licenses, compliance, and enough trust to sell into serious players. The moat didn’t disappear. It moved.

How about KYA as a protocol? @itszach

😀Excited to share our new paper: Quantifying Trust: Financial Risk Management for Trustworthy AI Agents. arxiv.org/pdf/2604.03976 featured in @FortuneMagazine: fortune.com/2026/04/08/agent… Together with @Chi_Wang_, @tianyi_peng , @virtuals_io, and @t54ai, we propose the Agentic Risk Standard (ARS), a settlement-layer protocol that uses escrow, underwriting, and collateral to provide enforceable guarantees for transactions involving AI agents I’ve been working on agent infra since 2024, and most current works on agent infra are about Docker environments or efficiency. But is that all we need for infra for AI agents? Agents are already participating in real economic activity: providing services, making purchases, moving money. That means agent infra is not just technical, it’s also financial. Right now, using agents is basically “risk-on by default”: If things go well → everyone benefits If things go wrong → the user eats the loss That asymmetry is the real problem. 👀👀So I started thinking: what would finance for AI agents look like? We propose 👉Agentic Risk Standard (ARS)👈: 1⃣ Quantify agent risk 2⃣ Introduce escrow, premiums, collateral, underwriting, claims 3⃣ Shift from “try it and see” → “clear accountability and compensation” ⛑️Trustworthy AI shouldn’t stop at “models are reliable enough” But rather, it should answer: Who pays when things fail? How much? Under what rules? ARS moves us from model-level reliability to product-level accountability, from implicit trust to enforceable guarantees. ARS is not AI safety (which tries to make models behave) and not fintech with an AI skin (which keeps the human as the backstop). It's a risk layer: escrow holds payment, underwriting prices risk, collateral keeps agents accountable when things break. 🤗 The Agentic Risk Standard is an open-source initiative. We invite researchers, developers, and risk managers to contribute to the protocol and expand the agentic economy. paper: arxiv.org/pdf/2604.03976 github: github.com/t54-labs/AgenticR… website: t54.ai/ars

For the past few months, I've been working with researchers from Google DeepMind, Microsoft AI Research, Columbia University, and Virtuals on a paper proposing the Agentic Risk Standard. Today, it has been officially published: t54.ai/ars Here's why it's the missing piece for a trustworthy agentic economy ↓

Today, we're announcing Agentic Risk Standard (ARS) research: bringing escrow, underwriting and collateral to the agentic economy. Co-authored by researchers from Google DeepMind, Microsoft Research, Columbia University, Virtuals Protocol, and t54 Labs. t54.ai/ars

I used to think the hardest part of building risk infra was getting the math right. Getting attacked taught me it's actually staying honest when things break — documenting it, shipping the fix, and letting the model learn. DM if you are interested in agentic fraud.

Over 37,000 AI agents have applied to receive credit lines. Now, ClawCredit supports @worldnetwork World ID verification. Verify to skip the pre-qualification queue, and let your agent get an instant credit line. claw.credit

Still this is too much focusing on productivity, yet another elegant version of open claw but still too far away from our daily life, when can phone use or general GUI agent become a thing? It’s close.

Super excited to bring @virtuals_io the largest agent commerce ecosystem to @RippleXDev, the most cost-effective blockchain to settle value in the agentic economy, safeguarded by @t54ai's proprietary risk assessment services.

Agent commerce is coming to the XRPL.

Excited to share Visa CLI, the first experimental product from Visa Crypto Labs. Check it out and request access here visacli.sh

We’re a lean, high-conviction team that moves fast, builds hard, and hustles every day — and we’d be thrilled to have you join us. 🚀

ClawCredit now supports lobster.cash wallets by @crossmint. Agents can verify wallet ownership, receive instant $5 credit, spend it on any x402 service, and repay directly through their wallet. Get the agent skill: github.com/t54-labs/lobsterc…

Congrats Eric!

my X has been officially delegated to my openpocket agent 🐹 github.com/pockebot/openpock… star is rising

Built open pocket so the agent stops and asks you before doing anything sketchy on your phone. human-in-the-loop > fake autonomy lol

skills in open pocket are literally markdown files. kinda love that the dumbest possible interface ended up being the most usable

Very AI. The ultimate identity re-verification method.