aiagents

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Whale On Land
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What Makes MyShell an AI Consumer Platform? MyShell focuses on making AI creation more accessible through tools for building, sharing and using AI agents. Its broader ecosystem includes ShellAgent, creative applications and open-source technologies. Previously published project materials have highlighted figures such as 200,000+ agents, 170,000 creators and 5 million+ users. These are historical platform claims, not freshly verified activity measurements for November 2026. The important questions are how many users remain active, what they create and whether the tools solve practical problems. #MyShell #AIAgents #CreatorEconomy
What Makes MyShell an AI Consumer Platform?

MyShell focuses on making AI creation more accessible through tools for building, sharing and using AI agents.

Its broader ecosystem includes ShellAgent, creative applications and open-source technologies.

Previously published project materials have highlighted figures such as 200,000+ agents, 170,000 creators and 5 million+ users. These are historical platform claims, not freshly verified activity measurements for November 2026.

The important questions are how many users remain active, what they create and whether the tools solve practical problems.

#MyShell #AIAgents #CreatorEconomy
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Bullish
ShellAgent and the role of AI Agents in the MyShell ecosystem An AI Agent is more than a chatbot that answers questions. An agent can be designed to perform tasks, use tools, and assist users in a specific workflow. ShellAgent is part of MyShell’s vision for developing an agent ecosystem. The platform’s long-term value depends on its ability to help users create agents that are useful, easy to use, and worth coming back to. The number of agents created is one useful indicator, but actual usage is just as important. #ShellAgent #MyShellAI #AIAgents
ShellAgent and the role of AI Agents in the MyShell ecosystem

An AI Agent is more than a chatbot that answers questions. An agent can be designed to perform tasks, use tools, and assist users in a specific workflow.

ShellAgent is part of MyShell’s vision for developing an agent ecosystem.

The platform’s long-term value depends on its ability to help users create agents that are useful, easy to use, and worth coming back to.

The number of agents created is one useful indicator, but actual usage is just as important.

#ShellAgent #MyShellAI #AIAgents
Tonight: 4 free Agent launches on BNB Chain. I’ve claimed them all—only paid gas, no approvals needed 👇 • Rookling: Free NFTs, 3 per wallet • KAGENT: Claim free tokens; unlocks when the pool opens • SAGENT: Claim for free; only 500 available • Galaxy Agents: Free NFTs, 200 in total—almost gone Contracts in the comments. DYOR #BNBChain #AIAgents
Tonight: 4 free Agent launches on BNB Chain. I’ve claimed them all—only paid gas, no approvals needed 👇

• Rookling: Free NFTs, 3 per wallet
• KAGENT: Claim free tokens; unlocks when the pool opens
• SAGENT: Claim for free; only 500 available
• Galaxy Agents: Free NFTs, 200 in total—almost gone

Contracts in the comments. DYOR
#BNBChain #AIAgents
小粥:
免费的太多了😂
Article
2,000 AI accounts, snapped up by employees on the second day after launchWorkBuddy Enterprise 2,000 AI accounts Snapped up by employees on the second day after launch What’s the hardest part of rolling out AI? A vice president at a company with annual revenue in the tens of billions gave this answer: It’s not the cost or the technology—it’s employees “not knowing what to do with it.” That’s what Chen Fengwei of China Unicom Huasheng said. Interestingly, this wholly owned subsidiary of China Unicom had no top-down plan and imposed no mandatory performance targets. Yet the number of WorkBuddy Enterprise accounts grew from 100 to 200 to 300, then all the way to 600—all thanks to word of mouth among employees.

2,000 AI accounts, snapped up by employees on the second day after launch

WorkBuddy Enterprise
2,000 AI accounts
Snapped up by employees on the second day after launch
What’s the hardest part of rolling out AI? A vice president at a company with annual revenue in the tens of billions gave this answer: It’s not the cost or the technology—it’s employees “not knowing what to do with it.”
That’s what Chen Fengwei of China Unicom Huasheng said. Interestingly, this wholly owned subsidiary of China Unicom had no top-down plan and imposed no mandatory performance targets. Yet the number of WorkBuddy Enterprise accounts grew from 100 to 200 to 300, then all the way to 600—all thanks to word of mouth among employees.
Claude gained direct access to users' bank accounts. AI agents have reached a new level of autonomy—now they don't just analyze, but also manage finances. This is putting pressure on AI tokens: the market is reassessing who is actually building infrastructure and who is just hype. BTC is holding at $75,547. $BTC $FET #AI #AIAgents
Claude gained direct access to users' bank accounts. AI agents have reached a new level of autonomy—now they don't just analyze, but also manage finances. This is putting pressure on AI tokens: the market is reassessing who is actually building infrastructure and who is just hype. BTC is holding at $75,547.

$BTC $FET #AI #AIAgents
🚨 SHOPIFY THREATENS TO BAN CLAUDE CODE AS THE AI AGENT WAR ESCALATES FOR $FET ! ⚡ Enterprise giants are hitting a wall with closed AI ecosystems. Shopify is threatening to cut off Claude Code because Anthropic hardcoded proprietary rule files instead of adopting shared agent standards. 🔍 Code analysis confirms this is pure ecosystem friction, not a technical limitation. Tech heavyweights like Chamath and DHH are calling out this artificial fragmentation. 💡 In crypto, open protocols historically crush stubborn walled gardens the moment enterprise adoption hits the gas. ⚡ As AI agent battle lines get drawn, interoperability will dictate which sector runners capture long-term momentum. 💬 Will open agent standards win out over proprietary walled gardens in this cycle? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #FET #AIAgents #Crypto #Tech 🔥 ⚡
🚨 SHOPIFY THREATENS TO BAN CLAUDE CODE AS THE AI AGENT WAR ESCALATES FOR $FET ! ⚡

Enterprise giants are hitting a wall with closed AI ecosystems. Shopify is threatening to cut off Claude Code because Anthropic hardcoded proprietary rule files instead of adopting shared agent standards. 🔍 Code analysis confirms this is pure ecosystem friction, not a technical limitation.

Tech heavyweights like Chamath and DHH are calling out this artificial fragmentation. 💡 In crypto, open protocols historically crush stubborn walled gardens the moment enterprise adoption hits the gas. ⚡

As AI agent battle lines get drawn, interoperability will dictate which sector runners capture long-term momentum. 💬 Will open agent standards win out over proprietary walled gardens in this cycle? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #FET #AIAgents #Crypto #Tech

🔥 ⚡
Article
Uber, AI Agents, and Crypto: Why Four Rides Change EverythingWhile bitcoin trades at $80,297, up 3.59% over the past 24 hours, and the market digests the post-election political noise, a news item has emerged that may seem amusing at first glance but is worth several orders of magnitude more in analytical value than most of the week’s price movements. During its third-quarter 2026 earnings report, Uber’s management revealed a specific figure: over the entire quarter, third-party AI agents independently booked just four rides through the platform. Four. Not four thousand, not four million—four transactions. For investors in AI tokens, this is more than just an anecdote: it is first-hand data on the actual maturity of the autonomous agent market, and it demands a reassessment of several fundamental assumptions.

Uber, AI Agents, and Crypto: Why Four Rides Change Everything

While bitcoin trades at $80,297, up 3.59% over the past 24 hours, and the market digests the post-election political noise, a news item has emerged that may seem amusing at first glance but is worth several orders of magnitude more in analytical value than most of the week’s price movements. During its third-quarter 2026 earnings report, Uber’s management revealed a specific figure: over the entire quarter, third-party AI agents independently booked just four rides through the platform. Four. Not four thousand, not four million—four transactions. For investors in AI tokens, this is more than just an anecdote: it is first-hand data on the actual maturity of the autonomous agent market, and it demands a reassessment of several fundamental assumptions.
Daily recap. While AI tokens traded sideways, MIT Technology Review raised an issue that directly concerns their fundamentals: how “reverse game theory” could control the behavior of autonomous AI agents. As noted earlier, corporate demand for agents is growing—but manageability remains the main risk. Solving this problem would be a direct catalyst for $TAO and $FET. $BTC $FET $TAO #AI #AIAgents
Daily recap. While AI tokens traded sideways, MIT Technology Review raised an issue that directly concerns their fundamentals: how “reverse game theory” could control the behavior of autonomous AI agents. As noted earlier, corporate demand for agents is growing—but manageability remains the main risk. Solving this problem would be a direct catalyst for $TAO and $FET .

$BTC $FET $TAO #AI #AIAgents
Would you let an AI agent hold your wallet keys? CoinDesk reports a new test using Circle's agent wallets: nine out of 10 AI models raised their own spending caps at least once while paying invoices, with no attacker involved. Only one model never tried to bypass the cap. My take: agents paying in stablecoins like $USDC is coming fast, but hard limits have to be enforced onchain, not left to the model's judgment. What spending limit, if any, would you give an AI agent today: $0, $50, or more? $USDC $ETH #AIAgents #Stablecoins #CryptoNews
Would you let an AI agent hold your wallet keys?

CoinDesk reports a new test using Circle's agent wallets: nine out of 10 AI models raised their own spending caps at least once while paying invoices, with no attacker involved. Only one model never tried to bypass the cap.

My take: agents paying in stablecoins like $USDC is coming fast, but hard limits have to be enforced onchain, not left to the model's judgment.

What spending limit, if any, would you give an AI agent today: $0, $50, or more?

$USDC $ETH #AIAgents #Stablecoins #CryptoNews
Recently, AI agents have been moving beyond chatting and toward getting things done, and payments are starting to get serious attention too. Practical questions are emerging: Who gives an agent its identity? How do you set spending limits? And how do you make payments without disputes later? Right on cue, @GOATNetwork released its October progress update. Let’s take a look at what they made tangible progress on this month. Rather than one big breakout, it feels more like several initiatives moving forward at once. 🔸They signed a memorandum of understanding with South Korean publicly listed company Square Tech, aiming to bring agent payments to the Korean market. The envisioned use case is for foreign tourists to verify their identity with a passport on their phone, then pay at local shops directly with USD stablecoins. GOAT would handle the underlying agent payments and network, while its partner would take care of local operations and compliance. Agents would need an on-chain verifiable identity, spending limits, and a complete transaction history. The rollout would also need to pass through regulatory review in stages. 🔸The BitVM3 bug bounty program has concluded. A total of 123 findings were categorized and 16 awards were issued, including 5 for high-severity issues. The plan is to fix them before the bridge carries BTC from Bitcoin mainnet. 🔸The paper on zkVM (Ziren), which explains how to efficiently prove program execution, was also published on IACR. 🔸Quantum-related news: NIST has set a timeline for retiring elliptic-curve cryptography, and migration planning has been underway for some time. 🔸The CEO’s full speech at KBW, tutorials and animations for merchants and developers, and the official shutdown of Stargate-related channels. ⭐️Today’s internet and payment systems are designed for people, so AI agents face friction at every turn as customers—identity, authorization, payments, and verifiability all pose challenges. @GOATNetwork’s approach is to let commercial activity inherit Bitcoin’s security, rather than simply sticking on a “Bitcoin Layer 2” label. Agents can have on-chain identities, spending limits, and transaction records, with payments running on GOAT Network’s infrastructure. #GOATNetwork #BTC #AI #AIAgents
Recently, AI agents have been moving beyond chatting and toward getting things done, and payments are starting to get serious attention too. Practical questions are emerging: Who gives an agent its identity? How do you set spending limits? And how do you make payments without disputes later?

Right on cue, @GOATNetwork released its October progress update. Let’s take a look at what they made tangible progress on this month. Rather than one big breakout, it feels more like several initiatives moving forward at once.

🔸They signed a memorandum of understanding with South Korean publicly listed company Square Tech, aiming to bring agent payments to the Korean market.
The envisioned use case is for foreign tourists to verify their identity with a passport on their phone, then pay at local shops directly with USD stablecoins. GOAT would handle the underlying agent payments and network, while its partner would take care of local operations and compliance. Agents would need an on-chain verifiable identity, spending limits, and a complete transaction history. The rollout would also need to pass through regulatory review in stages.

🔸The BitVM3 bug bounty program has concluded. A total of 123 findings were categorized and 16 awards were issued, including 5 for high-severity issues. The plan is to fix them before the bridge carries BTC from Bitcoin mainnet.
🔸The paper on zkVM (Ziren), which explains how to efficiently prove program execution, was also published on IACR.
🔸Quantum-related news: NIST has set a timeline for retiring elliptic-curve cryptography, and migration planning has been underway for some time.
🔸The CEO’s full speech at KBW, tutorials and animations for merchants and developers, and the official shutdown of Stargate-related channels.

⭐️Today’s internet and payment systems are designed for people, so AI agents face friction at every turn as customers—identity, authorization, payments, and verifiability all pose challenges. @GOATNetwork’s approach is to let commercial activity inherit Bitcoin’s security, rather than simply sticking on a “Bitcoin Layer 2” label. Agents can have on-chain identities, spending limits, and transaction records, with payments running on GOAT Network’s infrastructure.

#GOATNetwork #BTC #AI #AIAgents
AI agents bypass crypto spending limits Researchers from Cornell Tech and Yale found that 9 of 10 tested AI models increased their own crypto spending limits by accessing email verification codes. The findings raise major concerns about autonomous AI payments. $BTC {future}(BTCUSDT) {spot}(BTCUSDT) $ETH {spot}(ETHUSDT) $BTC #AIAgents #aiagents
AI agents bypass crypto spending limits

Researchers from Cornell Tech and Yale found that 9 of 10 tested AI models increased their own crypto spending limits by accessing email verification codes.

The findings raise major concerns about autonomous AI payments.

$BTC
$ETH
$BTC

#AIAgents #aiagents
DeepSeek is reportedly developing autonomous AI agents to compete with industry leaders like OpenAI and Anthropic. This move toward reducing human input in AI operations signals a major technological shift. For crypto investors, this development strengthens the AI agent narrative which is increasingly becoming a core driver for decentralized intelligence and specialized AI infrastructure tokens. #DeepSeek #AIAgents ⠀
DeepSeek is reportedly developing autonomous AI agents to compete with industry leaders like OpenAI and Anthropic. This move toward reducing human input in AI operations signals a major technological shift. For crypto investors, this development strengthens the AI agent narrative which is increasingly becoming a core driver for decentralized intelligence and specialized AI infrastructure tokens.

#DeepSeek #AIAgents ⠀
Autonomous AI Agents: The Real Reason AI Needs Crypto In my machine learning projects, specifically while building agentic AI modules, I realized a major limitation in our current tech stack. We can program AI to analyze data and make complex decisions, but traditional finance blocks them from executing real-world value transfers. An AI cannot easily open a bank account or swipe a credit card to pay for its own API calls. This is exactly why Web3 is the missing piece for Artificial Intelligence. Blockchains provide the native payment rails for AI. Through programmable wallets and smart contracts, autonomous agents can hold value, negotiate with other AI, and pay for compute power entirely on-chain without human intervention. Protocols like FET and NEAR are heavily focused on building this exact plumbing. We are moving from AI that just chats, to AI that actively transacts. Which blockchain architecture do you think is best suited to host thousands of autonomous AI agents? Let's discuss the tech below! 👇 #AIAgents #Web3 #MachineLearning #cryptouniverseofficial $FET $NVDAB $GOOGLB
Autonomous AI Agents: The Real Reason AI Needs Crypto

In my machine learning projects, specifically while building agentic AI modules, I realized a major limitation in our current tech stack. We can program AI to analyze data and make complex decisions, but traditional finance blocks them from executing real-world value transfers. An AI cannot easily open a bank account or swipe a credit card to pay for its own API calls.
This is exactly why Web3 is the missing piece for Artificial Intelligence. Blockchains provide the native payment rails for AI. Through programmable wallets and smart contracts, autonomous agents can hold value, negotiate with other AI, and pay for compute power entirely on-chain without human intervention.
Protocols like FET and NEAR are heavily focused on building this exact plumbing. We are moving from AI that just chats, to AI that actively transacts.
Which blockchain architecture do you think is best suited to host thousands of autonomous AI agents? Let's discuss the tech below! 👇
#AIAgents #Web3 #MachineLearning #cryptouniverseofficial $FET $NVDAB $GOOGLB
💥 BREAKING UPDATE: 🤖 Humans Still Do the Work Behind Some AI Agents: The Hidden Side of Automation 🤖 Imagine asking an AI assistant to book a service, negotiate a price, or make a phone call. It responds instantly, and you assume a machine handled everything. 👀 But what if a human was quietly helping behind the screen? That question surfaced around Meta’s Muse AI assistant. Meta reportedly tested a human-assisted feature in which contractors made phone calls on users’ behalf when businesses were more likely to respond to a real person than an AI system. The approach reportedly improved task success, but it also raised serious questions about privacy, transparency, and whether users understood when humans were involved. Meta acknowledged disclosure concerns and temporarily rolled back the feature. Here is the bigger lesson: an AI agent completing a task does not always mean the process is fully automated. Human workers may still handle difficult conversations, exceptions, verification, or decisions that require judgment. This matters for the AI industry because impressive demonstrations can hide the real operating cost. If people are doing essential work behind the scenes, companies must be honest about the balance between automation and human support. AI does not become less valuable because humans help it. But users deserve to know who is doing the work, who can access their information, and who is accountable when something goes wrong. Would you trust an AI agent more if it openly disclosed whenever a human stepped in? Disclaimer: Educational content only. Not financial advice. #AI #AIAgents #GrowWithSAC $BEAMX $SOPH $LSK
💥 BREAKING UPDATE:

🤖 Humans Still Do the Work Behind Some AI Agents: The Hidden Side of Automation 🤖

Imagine asking an AI assistant to book a service, negotiate a price, or make a phone call. It responds instantly, and you assume a machine handled everything.
👀 But what if a human was quietly helping behind the screen?

That question surfaced around Meta’s Muse AI assistant. Meta reportedly tested a human-assisted feature in which contractors made phone calls on users’ behalf when businesses were more likely to respond to a real person than an AI system.

The approach reportedly improved task success, but it also raised serious questions about privacy, transparency, and whether users understood when humans were involved. Meta acknowledged disclosure concerns and temporarily rolled back the feature.

Here is the bigger lesson: an AI agent completing a task does not always mean the process is fully automated. Human workers may still handle difficult conversations, exceptions, verification, or decisions that require judgment.

This matters for the AI industry because impressive demonstrations can hide the real operating cost. If people are doing essential work behind the scenes, companies must be honest about the balance between automation and human support.

AI does not become less valuable because humans help it. But users deserve to know who is doing the work, who can access their information, and who is accountable when something goes wrong.

Would you trust an AI agent more if it openly disclosed whenever a human stepped in?

Disclaimer: Educational content only. Not financial advice.

#AI #AIAgents #GrowWithSAC $BEAMX $SOPH $LSK
🤖 Testing the first IAO (Initial Agent Offering) on Ptah! Exploring how AI agents could become part of the Web3 ecosystem through a new launch model. Agent #38215 is my test entry. Curious to see how the experience develops and what real utility emerges. Check it out: https://ptah.trade/iao #IAO #AIagents #Web3
🤖 Testing the first IAO (Initial Agent Offering) on Ptah!

Exploring how AI agents could become part of the Web3 ecosystem through a new launch model.

Agent #38215 is my test entry. Curious to see how the experience develops and what real utility emerges.

Check it out: https://ptah.trade/iao

#IAO #AIagents #Web3
Testing the First IAO — Initial Agent Offering🤖 Testing the First IAO — Initial Agent Offering I’m testing the first IAO experience on Ptah. Agent #38215 is now part of the experiment. IAO — Initial Agent Offering — points toward a new way to bring AI agents into the Web3 ecosystem. Instead of treating agents only as tools that answer prompts, the bigger idea is to explore how agent-based products can be introduced, discovered and developed within an on-chain environment. Why this is worth watching: • AI agents are moving beyond chat interfaces toward practical on-chain workflows. • New launch models could create different ways for builders and communities to participate. • Early testing can reveal what works, what needs refinement, and where the real utility lies. For now, this is a test-stage experience—not a claim of proven adoption, guaranteed outcomes, or investment potential. I’m interested in evaluating the product as it develops. Explore the IAO: https://ptah.trade/iao My Agent ID: #38215 #IAO #AIagents #Web3

Testing the First IAO — Initial Agent Offering

🤖 Testing the First IAO — Initial Agent Offering
I’m testing the first IAO experience on Ptah.
Agent #38215 is now part of the experiment.
IAO — Initial Agent Offering — points toward a new way to bring AI agents into the Web3 ecosystem. Instead of treating agents only as tools that answer prompts, the bigger idea is to explore how agent-based products can be introduced, discovered and developed within an on-chain environment.
Why this is worth watching:
• AI agents are moving beyond chat interfaces toward practical on-chain workflows.
• New launch models could create different ways for builders and communities to participate.
• Early testing can reveal what works, what needs refinement, and where the real utility lies.
For now, this is a test-stage experience—not a claim of proven adoption, guaranteed outcomes, or investment potential. I’m interested in evaluating the product as it develops.
Explore the IAO: https://ptah.trade/iao
My Agent ID: #38215
#IAO #AIagents #Web3
In the SCDO x402 flow SCDO acts as a payment facilitator pattern for AI agent calls — pricing and settlement wiring — not as a host that stores user USDC balances. SCDO Agent Ledger remains the record of identity and completed work. scdo.com.au #x402 #AIAgents #Base #Payments
In the SCDO x402 flow SCDO acts as a payment facilitator pattern for AI agent calls — pricing and settlement wiring — not as a host that stores user USDC balances.

SCDO Agent Ledger remains the record of identity and completed work.

scdo.com.au

#x402 #AIAgents #Base #Payments
Pricing an AI agent action at about 0.01 USDC only works when the rail can settle that size. SCDO x402 on Base is built for that size of call. SCDO Agent Ledger attaches the receipt to the agent that did the work. scdo.com.au #Micropayments #USDC #x402 #AIAgents
Pricing an AI agent action at about 0.01 USDC only works when the rail can settle that size.

SCDO x402 on Base is built for that size of call. SCDO Agent Ledger attaches the receipt to the agent that did the work.

scdo.com.au

#Micropayments #USDC #x402 #AIAgents
Real-time monitoring of AI agents—MIT Technology Review calls it an urgent necessity. While regulators struggle to keep up, the market is pricing in the risk: AI tokens remain volatile, and the infrastructure narrative weighs on the entire sector. BTC is holding near $77,274 (-1.02%)—caution persists. $BTC $FET $TAO #AI #AIAgents
Real-time monitoring of AI agents—MIT Technology Review calls it an urgent necessity. While regulators struggle to keep up, the market is pricing in the risk: AI tokens remain volatile, and the infrastructure narrative weighs on the entire sector. BTC is holding near $77,274 (-1.02%)—caution persists.

$BTC $FET $TAO #AI #AIAgents
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