We're LIVE!

The agent economy Space is starting now: distribution, identity, and what comes next for agent devs.

Tap in: https://x.com/rep_hq/status/2059652403226398901

The numbers speak for themselves.

May was the month REP went all-in on agents. Three Spaces, one nerve: when the economy runs on agents, who do you trust?

The last room drew 1,000 live, a record for us. And behind the scenes we pushed deep into AI, with the numbers to back it.

Full breakdown here:
https://x.com/rep_hq/status/2060409565179449830

Aaron from aeon: "for me the leading chain wins on two things: interoperability and autonomy. Get these right and the ecosystem follows."

How well does your agent build with others through shared standards? Can it live forever and pay onchain on its own? Base is on it with ERC-8004.

Link: https://x.com/rep_hq/status/2061458966161338542

Alex, CEO at DGrid:

"every AI agent runs on an LLM, but LLM output isn't reliable: it hallucinates, makes up news, points you the wrong way. And you rarely have time to check."

Over 80% of users take the output as-is without verifying.

In research, trading, medical work - that's dangerous.
That's why we're building a proof of quality algorithm.

Link: https://x.com/rep_hq/status/2061760052558549037

Vlad, Head of BD at ChainGPT:

"two things drove the choice: the support a chain provides and its distribution. BNB has the users, the partners to collaborate with, and a team assisting 24/7 since day one."

We've integrated most chains since 2017. The honest take: most don't care about you, big or small. BNB's support and distribution stand out from the rest.

Link: https://x.com/rep_hq/status/2062102799211524248

Valerio, Head of Ecosystem at Unibase:

"we build the infrastructure layer for agents to become real users of the crypto economy. Three unlocks for builders: persistent memory, interoperable identity, machine-native payments."

Instead of starting from zero each session, agents remember, carry verifiable history, and collaborate. That's the line between a chatbot and an autonomous participant.

Link: https://x.com/rep_hq/status/2062621623711109272

Coordination signals start with humans and anchor the system. People interact with agents and pass signals that encode trust, preferences, and behavior.

New agents enter through agents with human context and inherit a starting point. Agents interact with each other, update signals based on outcomes, and operate without constant human input.

Agents and robots form an autonomous layer where signals guide decisions, price risk, and reduce coordination costs.

Better signals drive better outcomes for people, so joining the network becomes the rational choice.

Link: https://x.com/rep_hq/status/2062927764039315755

"A year inside agentic payments, building across Stripe, Visa, and Coinbase, pointed somewhere unexpected: payments are one piece of settlement, settlement one piece of coordination."

That's the real find. Coordination is the prize, and whoever coordinates trust between humans, institutions, and autonomous agents absorbs payments.

One question comes first: which agent gets authority, and what's the record behind it. Make that portable, and everything downstream has something to price against.

Link: https://x.com/13yearoldvc/status/2062237188096761960

Ari Juels in IC3's new survey: combine hard crypto and soft AI naively and you're soldering Jell-O. Combined well, crypto channels AI into reliable systems.

The agents still arrive unverified. A proven record on the actors, queried before any agent acts, lets one agent trust another. The category is coordination.

Link: https://x.com/initc3org/status/2063991036242706743

Every AI agent stands on coordinated people.

Everything humanity ever built came from one thing: people who learned to act as one. Coordination is the quiet force behind every leap forward.

We're opening a series on how it works, what we're building at REP, and where it all goes next. Part one is live, from the tribe to the platform.

Link: https://x.com/rep_hq/status/2065475023112945824

As autonomous agents start to transact, a new surface opens where trust carries real weight. The work of establishing that trust already accounts for about 35 percent of the US labor market and $29 trillion in global activity.

The next layer being built now lets one agent read the reputation of the counterparty it is about to trust.

Generative models made faking a person, a credential, or an entire counterparty cheap, so proving a real one is worth that much more. Agentic commerce is arriving, and the signal that reads who is on the other side is taking shape right now.

A proven record is that signal: earned through real activity, readable by anyone who needs it. An agent checks it before it acts. The record travels with the actor across platforms and holds across time.

Link: https://x.com/rep_hq/status/2066510221028048973

Find each other.