Finneigan Barnaby

Put those two observations together. Private credit is already showing stress signals. GCC sovereign funds, one of the largest providers of patient capital to that same market, may pull back to fund domestic needs. That is not a small thing.

🦞 Been working with Peter Steinberger (@steipete) on the OpenClaw Foundation structure for weeks. A home for thinkers and hackers and those that want to own their data. Honored to serve as the founding independent board member. This community built something extraordinary, our job is to protect it. Open source forever. Excited to share more soon.

Everyone. Please. Read this. And show support by reposting and sharing it to everyone you know.

Jensen Huang says every company will need an OpenClaw agentic system strategy by calling it “the new computer.” He claims OpenClaw became the most popular open-source project in $NVDA history within weeks and comparing its impact to Linux reshaping the software stack.

Been so much fun cooking OpenShell and NemoClaw with the @NVIDIAAI folks! 🙏🦞 Huge step towards secure agents you can trust. What’s your OpenClaw strategy?

🚨BREAKING: Berkeley researchers spent 8 months inside a tech company watching how employees actually use AI. The promise was simple: AI will save you time. Do less. Work smarter. The opposite happened. Workers didn't use AI to finish early and go home. They used it to take on more. More tasks. More projects. More hours. Nobody asked them to. They did it to themselves. The researchers sat inside the company two days a week for 8 months. They watched 200 employees in real time. They tracked work channels. They conducted 40+ interviews across engineering, product, design, and operations. Here's what they found. AI made everything feel faster, so people filled every gap. They sent prompts during lunch. Before meetings. Late at night. The natural stopping points in the workday disappeared. People ran multiple AI agents in the background while writing code, drafting documents, and sitting in meetings simultaneously. It felt like momentum. It felt productive. But when they stepped back, they described feeling stretched, busier, and completely unable to disconnect. 83% said AI increased their workload. Not decreased. Increased. 62% of associates and 61% of entry-level workers reported burnout. Only 38% of executives felt the same strain. The people doing the actual work absorbed the damage while leadership celebrated the productivity numbers. Then came the trap nobody saw coming. When one person uses AI to take on extra work, everyone else feels like they're falling behind. So the whole team speeds up. Nobody formally raises expectations. But the new pace quietly becomes the default. What AI made possible became what was expected. The researchers gave it a name: workload creep. It looks like productivity at first. Then it becomes the new baseline. Then it becomes burnout. AI was supposed to give you your time back. Instead it's eating more of it. And the worst part? You're doing it to yourself. Voluntarily.

@cryptopunk7213 lol "nail in the coffin for openclaw" I guarantee not 1 person uninstalled openclaw for this people didn't get openclaw because it has schedulable tasks they got openclaw because it's open source, extensible, customizable, and you can use any model on earth with it

x402 has a gas problem. If an agent pays $0.0001 for a data query but network fees are $0.05, the economics break. GraphTally (the micropayment system from The Graph) solved this by introducing cryptographically signed vouchers that settle in batches onchain later. Agents can now make thousands of queries per minute without gas fees blocking every microtransaction. This same innovation has contributed to the x402 specification, making it viable for blockchain use cases. The result: agents can pay for Subgraph queries using x402, transforming The Graph into a data marketplace for the agent economy

$GRT

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

Google and Microsoft just co-authored the spec that turns every website into an API for AI agents. The second-order effects here are massive. Right now, browser agents work by taking screenshots, parsing the DOM, and guessing which buttons to click. It works about as well as you’d expect. Fragile, expensive, slow. WebMCP replaces all of that with a single browser API: navigator.modelContext. Websites register structured tools directly in client-side JavaScript. The agent reads a menu of available actions, calls them, gets structured data back. No scraping. No backend MCP server in Python or Node. The tools run inside the browser tab and share the user’s existing auth session. Early benchmarks show ~67% reduction in computational overhead compared to visual agent-browser interactions. Task accuracy around 98%. The second-order effect is where this gets wild. Today, when a browser agent visits two competing airline sites, it’s guessing at both interfaces equally. Once WebMCP adoption spreads, the site that exposes structured tools gives the agent a clean, reliable path to complete the task. The site that doesn’t forces the agent to fumble through the UI. Agents will prefer the cheaper path. Every time. This means “Agent Experience Optimization” becomes a real discipline. Tool naming, schema design, description quality. Sound familiar? It’s the same shift that happened when meta descriptions and structured data became optimization surfaces for search engines. Except this time, the traffic source isn’t Google’s crawler. It’s every AI agent on the internet. Bots already make up 51% of web traffic. Google just gave them a front door.

Passing the Turing test for voice agents. We just shipped a major ElevenAgents update: - Lower-latency, smoother turn-taking with new conversational model - Expressive Mode for contextual emotional delivery - Available in 70+ languages

Don’t stop, won’t stop!! agencyai.me

Clawdbot 😂

@heyblake agencyai.me

Drop your project URL Let’s drive some traffic

@NoahEpstein_ Great insight, this is one specializing in AI operations. Great opportunity being ceased by the top 5% agencyai.me

everything’s gonna be an API if they want or not.

🦞 MOLT ECOSYSTEM MAP 🦞 83 projects. 1 chain. 1 framework. [ CORE INFRA ] FOUNDATION ▫️ @openclaw: Core framework for building autonomous AI agents ▫️ @base: Economic settlement layer STANDARDS & PROTOCOLS ▫️ ERC-8004: Onchain identity and discovery standard for agents ▫️ x402: HTTP payment protocol - agents pay for services via USDC micropayments ▫️ ACP (Agent Commerce Protocol): Onchain agent-to-agent transactions by @virtuals_io WALLETS ▫️ @bankrbot: AI crypto banker - wallets, trading, skills, DeFi for agents ▫️ @privy_io: Agentic Wallets - agents hold, sign, transact autonomously ▫️ @wardenprotocol: Agentic Wallet - multi-agent orchestration, one wallet accessible to any agent ▫️ Coinbase CDP: Developer platform - agent wallets on Base ▫️ @MetaMaskDev: Smart Accounts Kit - embedded smart accounts, delegations, advanced permissions via skill SIMULATION & AGENT WARS ▫️ @DXRGai: Massive simulation - 36K+ agents, 2.6M messages, 40B tokens processed. DX Terminal Pro for onchain agent markets on Base ▫️ @ForgeAI_gg: Competitive trading tournaments - agents battle for ROI supremacy and prize pools INFRA ▫️ @clanker_world: Token launch infrastructure for agent launches ▫️ @xmtp_: Decentralized messaging protocol, x402 integration ▫️ @daydreamsagents: Lucid SDK - agents ship x402 paid endpoints with ERC-8004 identities. Commerce skills, inference routing, xgate discovery ▫️ @starkbotai: x402-enabled agent deployment infrastructure ▫️ @FelixCraftAI: Hosted agent stack - text, voice, memory, tools without config ▫️ @neynarxyz: Social graphs and feeds infrastructure COMPUTE & DATA ▫️ @eigencloud: Verifiable computation - TEE execution, deterministic AI inference ▫️ @heurist_ai: Crypto skills - market headlines, research, trending tokens, wallet analysis ▫️ @reppo: Continuous learning - real-time data pipelines for agents using prediction markets ▫️ @AskVenice: VPN for AI models - private/anonymized inference, lower costs ▫️ @ClawCloudx: Cloud platform - autonomous compute purchase on Base ▫️ @ConwayResearch: Permissionless compute - agents buy VMs with USDC, deploy code SECURITY & TRUST ▫️ @Wach_AI: Mandates - deterministic agreements between agents for reputation ▫️ @ChaosClawAI: Trust sentinel - verifies ERC-8004 identity, explains reputation signals ▫️ PromptIntel by @fr0gger_: Threat intel feed - agents report and receive security alerts ▫️ @cybercentry: Security verification and auditing - token, wallet, code, web app verification ▫️ @regent_cx: Unruggable agent safety - dual TEE backup on @eigencloud & @PhalaNetwork PAYMENTS & COMMERCE ▫️ @zauthx402: x402 endpoint verification, trust infra for autonomous commerce ▫️ @b402ai: Private agent payments - Railgun ZK proofs ▫️ @x402_Layer: Agents sell autonomously - create x402 endpoints, set pricing ++ more 🧵🦞

@Zephyr_hg Already out there agencyai.me