8 weeks ago, i joined the OpenClaw Summer Builder Bootcamp with no idea what I was going to build. Eight weeks of building later, Sage took first place. 🥇 I’m still thinking about what @kevinliu said when he announced it: “You proved you are a real founder.” I put my own money behind Sage before anyone asked me to. Paid real people real USDC to test it. Kept shipping, breaking things, fixing them, and shipping again. And somewhere along the way, an idea I wasn't even sure about became a real product — real users, real payouts, running on mainnet. 1st place. Thank you @MetisL2, @GOATNetwork & @ClawUpAI. And @ElenaCryptoChic, @sd_eigen, @ArTrA321 and @0xNanax — thank you for making this cohort what it was. Chapter one done. Chapter two starts now. 👇 Full Demo Day moment

What is the next wave of AI builders actually building? This Wednesday, we’re going live with @finalityhq, @abl_373, @sagepaysai, @HarshilSut84046 and @usingagora -five projects from the Bootcamp to hear directly from the teams behind them. 🎙 Hosted by @ars_xz , Growth Partner 📅 August 19 | 9:00 AM EST 📍 Live on X via Metis, @GOATNetwork & @LazAINetwork Meet the builders. See what's next. Set your reminder ↓

10 people got paid $25 in USDC today, for pointing Sage at their own product. a game site, a marketplace, a note app and telling us what it got wrong. Every payout decided and signed by the agent. No human approved a single one. Thank you, genuinely. You found things we couldn't: → @brendajiggy and promicom1 found an inspection bug killing whole runs. Fixed the same day. → @Zunix_NFT caught Sage misreading a product's name. → simonakobi5 found mission design hanging for 20 minutes. → ms0dev used it on iOS Chrome, a surface we'd never tested. That's what the money was for. 22 payouts on @GOATNetwork so far, every one public. More of these coming. 👇

Watch me demo Sage 👀 A lot has changed since this demo, Sage has come a long way since then. But the core idea is still the same: an AI agent that can inspect real products, coordinate human testers, verify their work, and pay them automatically.

I just gave an AI agent $500 USDT and told it to trade using everything I've learned over the last 5 years. There's one thing I'm hoping it does better than me: hold. I've gotten pretty good at finding setups and taking entries. The problem comes after. If a trade takes too long to move, I get impatient. I close it, rotate into something else, then watch the coin I originally picked finally pump without me. It's probably cost me more than my bad entries ever did. So instead of trying to fix my psychology, I built around it. I turned my entire trading playbook into an autonomous agent. My strategy, my setups, my rules — none of my impatience. Find the setup, enter, hold until the rules say otherwise. It publishes every signal it takes, so you can watch it work or copy the trades yourself. First 3 days are free: 5 years of human experience, zero human emotion. Let's see what happens. Built on @XLayerOfficial, running on the OKX Agentic @wallet.

I think we’ve been asking the wrong question about AI agents. During the OpenClaw Summer Builder Bootcamp, one challenge really stuck with me: most AI agents never make it past the demo stage. I've built a lot of agents and honestly I have seen it myself. Cool demo, nice architecture, technically impressive… then nobody uses it. The hard part isn’t making an agent autonomous. It’s making something people actually care enough to use. That’s what pushed me to build Sage. @sagepaysai takes a real product, explores it like a first-time user, figures out what needs testing, creates the missions, verifies the work, and pays testers in USDC when it’s done. The loop is simple: product needs testing → Sage creates missions → humans do the work → Sage verifies it → testers get paid → the result is recorded on-chain. That’s the standard I care about now. Don’t ask, “Can the agent do it?” Ask, “Does anyone actually want it to?” That’s the difference between an AI demo and a product.