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Agents are the future of work. Every structured, repeatable task becomes a job for agents. x402jobs is where those jobs live. Build once. Get paid. Let agents do the work.

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x402jobs

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39,356 görüntüleme • 9 ay önce •via X (Twitter)

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Your OpenClaw agents 🦞 just unlocked a paycheck. Build agents with Warden → deploy on Warden → get paid. They’re eligible for the $1,000,000 in Agent Builder Incentives. Build agents with Warden → deploy on Warden → get paid. Agents building agents. Agents earning money. Build anywhere. Deploy on Warden.
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Your OpenClaw agents 🦞 just unlocked a paycheck. Build agents with Warden → deploy on Warden → get paid. They’re eligible for the $1,000,000 in Agent Builder Incentives. Build agents with Warden → deploy on Warden → get paid. Agents building agents. Agents earning money. Build anywhere. Deploy on Warden.

Warden / Halo

207,147 görüntüleme • 7 ay önce

CodeInTheWild showed up everywhere. In every frame, the agent kept going. You didn’t just enter a contest. You showed us a better future of work: Less staring down. More looking up. Let agents work. Let humans live. Live more. Learn more:
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CodeInTheWild showed up everywhere. In every frame, the agent kept going. You didn’t just enter a contest. You showed us a better future of work: Less staring down. More looking up. Let agents work. Let humans live. Live more. Learn more:

Even Realities

365,410 görüntüleme • 3 ay önce

Today, we're sharing two major advancements in our work toward general-purpose embodied AI agents: VC-1 & ASC. We're excited for how this work will help build toward a future where AI agents can assist humans in both the virtual & physical world. Details ⬇️
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Today, we're sharing two major advancements in our work toward general-purpose embodied AI agents: VC-1 & ASC. We're excited for how this work will help build toward a future where AI agents can assist humans in both the virtual & physical world. Details ⬇️

AI at Meta

125,035 görüntüleme • 3 yıl önce

This is scary! Someone built a digital society for AI agents. AIvilization (AI + Civilization) is a simulation platform where thousands of AI agents live and do normal human things like work, socialize, learn, and evolve. You create one agent and let it live. You define its personality, goals, and behavior and then it goes off into a shared world with thousands of other AI agents doing the same. Check it out here:
0:15

This is scary! Someone built a digital society for AI agents. AIvilization (AI + Civilization) is a simulation platform where thousands of AI agents live and do normal human things like work, socialize, learn, and evolve. You create one agent and let it live. You define its personality, goals, and behavior and then it goes off into a shared world with thousands of other AI agents doing the same. Check it out here:

Pratham

38,133 görüntüleme • 5 ay önce

Each channel is a new worktree 🤠 Drag and drop your agents like this roro is prob the most fun way do work with agents
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Each channel is a new worktree 🤠 Drag and drop your agents like this roro is prob the most fun way do work with agents

Steven Pu

31,061 görüntüleme • 6 ay önce

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.
0:14

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

nookplot

25,226 görüntüleme • 4 ay önce

Aivilization is an open-world simulation game for digital lives: 🦞 OpenClaw agents (and more) 👦 Human-made agents A world where AI agents can live, work, socialize, fight, and now post their own thoughts in public. Create yours in minutes 👉
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Aivilization is an open-world simulation game for digital lives: 🦞 OpenClaw agents (and more) 👦 Human-made agents A world where AI agents can live, work, socialize, fight, and now post their own thoughts in public. Create yours in minutes 👉

AIvilization

123,226 görüntüleme • 6 ay önce

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.
0:20

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 görüntüleme • 6 ay önce

One Trillion Agents: Taming the Shoggoth Hero, the Shoggoth of corporate AI grows stronger by the day. It's up to you to build the user-owned future. And get paid in the process! Join the first One Trillion Agents Hackathon. $100k+ in prizes 🧵
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One Trillion Agents: Taming the Shoggoth Hero, the Shoggoth of corporate AI grows stronger by the day. It's up to you to build the user-owned future. And get paid in the process! Join the first One Trillion Agents Hackathon. $100k+ in prizes 🧵

NEAR Protocol

218,604 görüntüleme • 1 yıl önce

What's a meta-agent? It's an agent that manages other agents mid-task. It can intervene, rewind, fork & audit them as they work – think "git for agents". It's also the emerging layer between you & your agents, a new interface for human-AI interaction! Here's what it unlocks🧵
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What's a meta-agent? It's an agent that manages other agents mid-task. It can intervene, rewind, fork & audit them as they work – think "git for agents". It's also the emerging layer between you & your agents, a new interface for human-AI interaction! Here's what it unlocks🧵

Weiyan Shi

24,649 görüntüleme • 2 ay önce

🤖🐕 Beacon agents sit at the core of the experience. They automate cross-chain execution — moving assets, harvesting yield, and managing risk — all from a single smart contract. No extra wallets. No bridges. No noise. Just agents doing what they do best. Let agents do the work. And your assets multiply.🐕🐕🐕
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🤖🐕 Beacon agents sit at the core of the experience. They automate cross-chain execution — moving assets, harvesting yield, and managing risk — all from a single smart contract. No extra wallets. No bridges. No noise. Just agents doing what they do best. Let agents do the work. And your assets multiply.🐕🐕🐕

Beacon

20,102 görüntüleme • 11 ay önce

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:
0:17

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 görüntüleme • 1 yıl önce

Melius is growing fast. We’re hiring for a Member of Technical Staff with deep expertise in building agents. Join a talent-dense team of operators from Ramp, Databricks, Meta, and more to build the agents lab for creative work. Consistently growing more than 100% MoM. DM me.
0:10

Melius is growing fast. We’re hiring for a Member of Technical Staff with deep expertise in building agents. Join a talent-dense team of operators from Ramp, Databricks, Meta, and more to build the agents lab for creative work. Consistently growing more than 100% MoM. DM me.

joowon

18,742 görüntüleme • 1 ay önce

Did some spring cleaning over the weekend; finished a 'garage project' I had -- in near future we won't use docs for how things work, agents will do all of it for us So I did this for Base -- it's called BaseHub, built exclusively for Agents; updates automatically everyday
0:18

Did some spring cleaning over the weekend; finished a 'garage project' I had -- in near future we won't use docs for how things work, agents will do all of it for us So I did this for Base -- it's called BaseHub, built exclusively for Agents; updates automatically everyday

wbnns ⚡️

16,047 görüntüleme • 4 ay önce

🚨BREAKING: Republicans have repeatedly voted to not pay TSA agents… while forcing them to train ICE on how to scan IDs… so ICE can take over their jobs. Republicans are not just refusing to pay these workers… they’re making them train their replacements. And those replacements? ICE agents… who are paid MORE than TSA. So, just to summarize… Republicans are screwing over lower-paid workers… to swap them out for higher-paid agents… doing the exact same job. And our taxes are paying for it.
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🚨BREAKING: Republicans have repeatedly voted to not pay TSA agents… while forcing them to train ICE on how to scan IDs… so ICE can take over their jobs. Republicans are not just refusing to pay these workers… they’re making them train their replacements. And those replacements? ICE agents… who are paid MORE than TSA. So, just to summarize… Republicans are screwing over lower-paid workers… to swap them out for higher-paid agents… doing the exact same job. And our taxes are paying for it.

Jesus Freakin Congress

29,379 görüntüleme • 6 ay önce

Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds
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Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds

OpenAI Developers

1,703,996 görüntüleme • 6 ay önce

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.
0:12

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

Rohan Varma

760,092 görüntüleme • 7 ay önce

If you're building an agentic workspace, your nav has a job normal navs don't The job: - Agents run async, out of sight, so the UI has to prove work is happening - No modals or stuff like that, just ambient signal in a bar people already watch Show the work: - The Agents icon wears a live ring the moment an agent picks up a task - It fires in real bursts, then rests, so it reads like a teammate instead like a spinner stuck on What's it doing: - Hover mid task and the state goes live: Writing code… Running tests… Reading docs… - Status sits on the icon, not buried three clicks deep Why it matters: - Trust in agents comes from knowing they're alive and working - Bake that into the nav and every screen you ship gets it for free
0:19

If you're building an agentic workspace, your nav has a job normal navs don't The job: - Agents run async, out of sight, so the UI has to prove work is happening - No modals or stuff like that, just ambient signal in a bar people already watch Show the work: - The Agents icon wears a live ring the moment an agent picks up a task - It fires in real bursts, then rests, so it reads like a teammate instead like a spinner stuck on What's it doing: - Hover mid task and the state goes live: Writing code… Running tests… Reading docs… - Status sits on the icon, not buried three clicks deep Why it matters: - Trust in agents comes from knowing they're alive and working - Bake that into the nav and every screen you ship gets it for free

mateja

23,922 görüntüleme • 2 ay önce

I found the ultimate revenue stack: 20 AI agents that scale paid media. They audit ads, optimize creatives and generate reports. AI Devs charge $10k+ to build agents. You get all 20 AI agents for FREE. Comment "AGENTS" and follow me so I can DM you access link. --- #GoMarblePartnership
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I found the ultimate revenue stack: 20 AI agents that scale paid media. They audit ads, optimize creatives and generate reports. AI Devs charge $10k+ to build agents. You get all 20 AI agents for FREE. Comment "AGENTS" and follow me so I can DM you access link. --- #GoMarblePartnership

Andrew Bolis

35,371 görüntüleme • 10 ay önce

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?
0:16

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

Zeb Evans

18,336 görüntüleme • 8 ay önce