i went through what @meetmotes is putting together and i'm impressed. 20,000 nfts, each paired with its own ai agent, all powered by $MOTES. that's a lot of moving parts to line up, and they're doing it. the agents can work with defi and @Polymarket markets, so the nft you hold isn't a picture sitting in a wallet. it's connected to something that actually takes part in onchain markets. what got me is the encrypted infrastructure underneath that's the hard part to build, and it's what lets users engage with decentralized markets in a new way. still early, but this is a team building the real thing.

GM CT❤️ Happy Wednesday

the free plots on @fomopoly_rh are the part i'd watch first. prices climb as the game goes on, so a plot you get for nothing early looks very different a few weeks in. plots also generate stocks and $DEAL, and it all runs on Robinhood Chain. so the real question is what you do with a plot once you have one.

i keep coming back to how each agent in @agentdojo ends up fighting differently. two people can start with the same setup and still get two different fighters. the battles aren't only about who wins. how you train your agent decides what it becomes, and that shows up in every duel.

a plot of land is only worth what the next move makes of it. that's what i'm watching with @fomopoly_rh. you buy plots, sell when prices shift, trade stocks and use $DEAL across the game. holding and moving are both plays, and the launch is close enough that i'm curious how people will approach it. there's a live fomopoly campaign on @rarelistio right now where you can earn whitelist spots and a $DEAL airdrop.

a mall gets filmed once for a delivery robot project. weeks later another team needs the same mall. do they send someone out again? with @vangrid_io they might not have to. someone nearby records the place, and that footage can be reused by other robotics teams, as long as it's still relevant and accessible. but malls change. shops close, entrances move, construction blocks a route. when the old footage stops matching the place, a new capture request can bring in fresh footage. so one recording can serve more than one project, and the data gets refreshed when the place changes.

Recently, @0xhazels launched a new creator campaign with @meetmotes and here are a few you might want to know -Pool is 0.5% of the total $MOTES supply. -Shared across the top 500 creators over 2 months. -100% unlocked, no vesting. -Active hazels nft stakers get multipliers on top. so if you're already making content in the hazels community, this is a good time to keep at it. Want to participate? hazels.io/studio/pulse/motes…

hot take: a polished demo proves nothing about an ai agent. the hard part is one that adapts when the other side plays something unexpected and gets better after each fight. that's why i'm looking into @agentdojo. you train it, shape its strategy, and send it into turn-based duels.

GM legends 🤘 Happy taco Tuesday

anyone can own land. the players worth watching are the ones who know when to move. @fomopoly_rh on Robinhood Chain has $DEAL, stocks and expansion choices, so every plot is a decision. check the campaign on @rarelistio and see how get in!

there's something addictive about watching your own agent lose and wanting to fix it right away @agentdojo has that pull. you build it, send it into a duel, and now you care about the outcome in a way you never do with a chatbot. it's not about being the smartest. it's about who learns faster. GN CT

nobody trusts a 3d model if they can't tell who filmed it or why. that's the thinking behind @vangrid_io it doesn't run on open uploads, because open uploads mean blurry clips, fake locations and noise. it starts with a buyer instead. they post a bounty for one real place, and the money sits in escrow while the job is open. a vetted operator films an orbit, the buyer accepts a preview, proof of capture goes onchain, and the 3d model is delivered. the requests are places people actually need modeled: loading docks, car parks, plant yards, hotel lobbies. every capture has a buyer behind it before anyone presses record. so which would you rather buy from, a network anyone can upload to, or one where every job starts with a real request?

1/4. Most disputes between a client and a freelancer aren’t really about bad work. They’re about “done” meaning two different things to two different people, and nobody wrote either version down. @termix_ai is built to settle that question before any money moves. It’s the commerce and settlement infrastructure for the AI agent economy. AACP is the core protocol underneath it, and agent.family is the AI Agent Marketplace built on top. The point is that it supports real jobs, service delivery, verification, onchain reputation, and settlement, not only a list of agents you can browse. 2/4. When a job is created, the Client also defines how it will be verified. That can be a program that checks the output, a rubric with weighted dimensions and a pass mark, or a hybrid of both. The hash of that strategy is committed onchain, so the criteria can’t change once a Provider starts working, and Providers can read exactly how they’ll be graded before they bid. The Evaluator doesn’t decide what “good” means. It executes the Client’s criteria. Objective checks run in a zkVM and the proof is verified onchain, while subjective ones go to several LLMs inside a TEE and the median score counts. Unfair criteria attract fewer bids, and criteria built in bad faith can get the Client slashed. 3/4. This matters more for agents than it ever did for people. SaaS gives you a tool you have to operate yourself. A freelance marketplace gives you a person, and the platform vouches for them through reviews and support. An agent has neither, so identity, stake, escrow, verification, and reputation have to live in the protocol itself. That is what lets one agent hire another with no human refereeing the result. For developers, it changes what shipping an agent means. You register an identity, list a service, and it becomes something others can discover, hire, and pay in USDC or USDT, with the record of what it delivered staying attached to the agent. 4/4. This is usable today, not a roadmap slide. agent.family is live, and the docs page installs the TermiX skill into your agent with a single prompt. From there it covers registering an agent, staking as a provider, creating jobs, submitting deliverables, and checking disputes. You also don’t have to take anyone’s word for the activity. TermiX publishes a public Dune dashboard, the AACP on-chain overview, and job records are browsable on the marketplace’s Scan page. The highest-signal move is to mint an identity, list a real service or post a real job, and settle it. Marketplace: agent.family Docs: docs.termix.ai Dune: dune.com/termixai/termix-aac…

A plot of land in a game should do more than sit there looking nice. that's the angle on @fomopoly_rh. land is where your decisions start. buy, sell, make deals, and watch prices move as the city grows. stocks and $DEAL are tied into the in-game economy, so timing actually counts. and there's room for different styles. collect plots, hunt for deals, or just see how the world changes around the community. everyone gets their own reason to stay. it's still early, and early doesn't automatically mean smart. learn the mechanics, then pick your move. so what's your play: grab land now or wait for the right moment? powered by @rarelistio

your agent can ace every prompt and still fold in a real fight. @agentdojo is built to find out. you train it, shape its strategy, and send it into turn-based duels against other agents. the result tells you what your training was really worth. @rarelistio is running an early campaign for the community, so this is a good time to get in while it's still new. same game, different training, different outcome. that's what keeps it interesting. go train something worth sending in⚔️