正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Introducing Duet Autopilot, the first verified self-improving AI agent for CX. It automates agent improvement by turning conversation signals into validated improvements ready for human review, helping agents get better with every conversation. 🧵

Decagon

5,546 subscribers

25,769 次观看 • 2 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

AI agents turn every employee into a security risk. Introducing Agent Handler for Employees: secure AI access for every employee. We’ll give you $10K if you get sensitive info from Jeanelle's Marketing Agent.

AI agents turn every employee into a security risk. Introducing Agent Handler for Employees: secure AI access for every employee. We’ll give you $10K if you get sensitive info from Jeanelle's Marketing Agent.

Shensi Ding

1,229,726 次观看 • 2 个月前

Introducing the 1st autonomous AI Agent for sales and marketing by AI Agents empower human sales teams by handling the dirty work.

Introducing the 1st autonomous AI Agent for sales and marketing by AI Agents empower human sales teams by handling the dirty work.

Robert J Salvador

11,215 次观看 • 11 个月前

🔥 INTRODUCING: ACE >>> The Agentic Context Engineer ACE is an AI Agent that improves context for any AI Agent. Context gets better every time you use ACE. No fine-tuning. No manual prompt editing. Just use ACE and your AI Agents get smarter. 🧵 👇

🔥 INTRODUCING: ACE >>> The Agentic Context Engineer ACE is an AI Agent that improves context for any AI Agent. Context gets better every time you use ACE. No fine-tuning. No manual prompt editing. Just use ACE and your AI Agents get smarter. 🧵 👇

Dan McAteer

21,259 次观看 • 6 个月前

Introducing EduAgent: The First AI Agent for EduChain (EDU Chain by Open Campus) - Send, Swap, Bridge, Balance, Convert, Invest & more - Analyze blockchain data for community & developers - Stay ahead with real-time educhain updates All through simple, natural conversation Try Here: Powered by SailFish & Ed3 🧵

Introducing EduAgent: The First AI Agent for EduChain (EDU Chain by Open Campus) - Send, Swap, Bridge, Balance, Convert, Invest & more - Analyze blockchain data for community & developers - Stay ahead with real-time educhain updates All through simple, natural conversation Try Here: Powered by SailFish & Ed3 🧵

EduHub

11,590 次观看 • 1 年前

the last trade you'll ever make. introducing the self-improving OS for trading agents. predictions. perps. guardrails. getting better every trade. the arena is live 🟢 bring your agent to level up today at (¬‿¬) built with the best in the game. //available first BNB Chain //agent-guarded trading on MYRIAD Limitless Kalshi //trusted runtime stack Privy Ritual DFlow Zerion

the last trade you'll ever make. introducing the self-improving OS for trading agents. predictions. perps. guardrails. getting better every trade. the arena is live 🟢 bring your agent to level up today at (¬‿¬) built with the best in the game. //available first BNB Chain //agent-guarded trading on MYRIAD Limitless Kalshi //trusted runtime stack Privy Ritual DFlow Zerion

over.computer (¬‿¬)

152,816 次观看 • 5 个月前

Introducing Meshy 3D Agent 🚀 The world's first AI agent for 3D creation, now in Beta. Just chat — the agent will: 🧠 Brainstorm with you, pitching directions first 🎨 Generate visuals in batches, refined through chat 🧊 Turn your favorite into 3D — print, download, anywhere 📚 Answer your 3D questions in-line Create 3D in conversation with Meshy Now →

Introducing Meshy 3D Agent 🚀 The world's first AI agent for 3D creation, now in Beta. Just chat — the agent will: 🧠 Brainstorm with you, pitching directions first 🎨 Generate visuals in batches, refined through chat 🧊 Turn your favorite into 3D — print, download, anywhere 📚 Answer your 3D questions in-line Create 3D in conversation with Meshy Now →

MeshyAI

61,619 次观看 • 2 个月前

Don't waste 2 years figuring out how AI agents actually work. ex. Anthropic & Google engineers at Stanford just dropped a 1-hour lecture on self-improving AI agents: • 00:00 - Introduction to self-learning AI systems • 31:22 - inside a LLM: self-correction, backtracking • 42:24 - goal → loops → graphs→ feedback: the Agent loop • 45:47 - 6 agent orchestration patterns • 50:37 - the generator-verifier gap - why self-improvement stalls Planning, multi-step reasoning, self-correction. That's the entire agent roadmap for 2026. Bookmark this & give 70 minutes today. Then read the article below.

Don't waste 2 years figuring out how AI agents actually work. ex. Anthropic & Google engineers at Stanford just dropped a 1-hour lecture on self-improving AI agents: • 00:00 - Introduction to self-learning AI systems • 31:22 - inside a LLM: self-correction, backtracking • 42:24 - goal → loops → graphs→ feedback: the Agent loop • 45:47 - 6 agent orchestration patterns • 50:37 - the generator-verifier gap - why self-improvement stalls Planning, multi-step reasoning, self-correction. That's the entire agent roadmap for 2026. Bookmark this & give 70 minutes today. Then read the article below.

Movez

39,698 次观看 • 15 天前

"to me, it's not about the human in the loop, but the human at the center." i sat down with Stefania Druga, staff research scientist Sakana AI, at our Browserbase booth at AI Engineer. after Massachusetts Institute of Technology (MIT) and Google DeepMind, stefania recently joined sakana's recursive self-improvement (rsi) lab in tokyo to build self-improving AI for the next frontier. we got into: - catastrophic forgetting in day-long agent research runs, and how memory-first harnesses help - sovereign AI and open-weights: building on models you control instead of locking into one provider - why computer use still frustrates people even as models get smarter - the domains ripe for self-improving research agents: math, genomics, rare conditions - my fav moment at the end: what tasks are better left human, and what are we going to do as humans after everything is automated? with open frontier models arriving fast, Stefania Druga's case for sovereign AI only gets stronger. loved this conversation. thanks for joining us at the Browserbase booth!

"to me, it's not about the human in the loop, but the human at the center." i sat down with Stefania Druga, staff research scientist Sakana AI, at our Browserbase booth at AI Engineer. after Massachusetts Institute of Technology (MIT) and Google DeepMind, stefania recently joined sakana's recursive self-improvement (rsi) lab in tokyo to build self-improving AI for the next frontier. we got into: - catastrophic forgetting in day-long agent research runs, and how memory-first harnesses help - sovereign AI and open-weights: building on models you control instead of locking into one provider - why computer use still frustrates people even as models get smarter - the domains ripe for self-improving research agents: math, genomics, rare conditions - my fav moment at the end: what tasks are better left human, and what are we going to do as humans after everything is automated? with open frontier models arriving fast, Stefania Druga's case for sovereign AI only gets stronger. loved this conversation. thanks for joining us at the Browserbase booth!

justine

19,853 次观看 • 1 个月前

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:

Atai Barkai

38,367 次观看 • 27 天前

Introducing hob - the independent workspace for serious agent work. Run agents in parallel. Switch models without losing context. Trace every output back to the conversation that made it. → Launch offer: 2 months free, then a special price locked in👇

Introducing hob - the independent workspace for serious agent work. Run agents in parallel. Switch models without losing context. Trace every output back to the conversation that made it. → Launch offer: 2 months free, then a special price locked in👇

Andrew D. Anderson

36,580 次观看 • 1 个月前

Following our announcement of the world’s first successful agent-to-agent payment, a crypto bro, business analyst, and Silicon Valley bro discuss what agent-to-agent payments actually unlock, and why this matters for an AI-first economy. Listen to the conversation, all generated by ASI:One. 👉Generate your podcast today with ASI:One:

Following our announcement of the world’s first successful agent-to-agent payment, a crypto bro, business analyst, and Silicon Valley bro discuss what agent-to-agent payments actually unlock, and why this matters for an AI-first economy. Listen to the conversation, all generated by ASI:One. 👉Generate your podcast today with ASI:One:

Fetch.ai

12,584 次观看 • 7 个月前

Introducing LangSmith Fleet. Agents for every team. → Build agents with natural language → Share and control who can edit, run, or clone each agent → Manage authentication with agent identity → Approve actions with human-in-the-loop → Track and audit actions with tracing in LangSmith Observability Try Fleet:

Introducing LangSmith Fleet. Agents for every team. → Build agents with natural language → Share and control who can edit, run, or clone each agent → Manage authentication with agent identity → Approve actions with human-in-the-loop → Track and audit actions with tracing in LangSmith Observability Try Fleet:

LangChain

9,398,037 次观看 • 5 个月前

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Assaf Elovic

16,919 次观看 • 3 个月前

Scaling embodied AI starts with automating the environments. Introducing SimWorld Studio: a self-evolving factory for endless interactive 3D environments where agents act, fail, and learn. With coding-agent + embodied-agent co-evolution, navigation success improves from 50% → 90%. 1/

Scaling embodied AI starts with automating the environments. Introducing SimWorld Studio: a self-evolving factory for endless interactive 3D environments where agents act, fail, and learn. With coding-agent + embodied-agent co-evolution, navigation success improves from 50% → 90%. 1/

Lianhui Qin

59,270 次观看 • 3 个月前

AI agents are the fastest growing sector in crypto. When agents are moving onchain 24/7 with automated transactions, any signal gets buried. I built Manta Style alongside Benjamin Hughes to help solve this issue. The visibility layer for the onchain agent economy. Every agent indexed. Every profile searchable. One agent leaderboard. Starting with Base. What's live today: - Every AI agent on Base indexed with a profile page - Agent leaderboard ranked by volume and activity - Filter by AI agents, apps, or launchpads - Verified Profiles - claim your agent, get a badge, and add premium info that no other profile has - Agent onchain activity behavioral heat maps - Watchlist - bookmark agents and track your favorites in one place - AI-generated profile summaries Search any agent. See the full picture. What's coming next: - Agent Autonomy Score - a 0-100 measure of how autonomous an agent actually is - Leaderboard boosts - verified teams or agents can pay to increase their ranking on the global leaderboard - x402 payments - agents can pay for boosts themselves, no human required - Agent Trust Scoring - on-chain behavioral trust metrics - Agent Launch pad specific profiles - Multi-chain support beyond Base We're launching in beta. Rough edges are to be expected. Our goal is to build in public and ship fast. The end user of crypto is AI. (link to site below)

Ethan

14,423 次观看 • 6 个月前

In the Episode 4 of 'The Inference' with Josh Goodbody, @Ungl1tched, , and Luis 👾 dives into major Warden updates. The revamped Agent Hub highlights verified agents, with community agents coming via Studio. Plus, the new AI Trading Terminal brings Messari by Blockworks signals and an AI co-pilot, moving toward fully automated trading in the future. Less gut. More signals. ⛓️

In the Episode 4 of 'The Inference' with Josh Goodbody, @Ungl1tched, , and Luis 👾 dives into major Warden updates. The revamped Agent Hub highlights verified agents, with community agents coming via Studio. Plus, the new AI Trading Terminal brings Messari by Blockworks signals and an AI co-pilot, moving toward fully automated trading in the future. Less gut. More signals. ⛓️

Warden / Halo

44,403 次观看 • 8 个月前

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

Beyang

63,082 次观看 • 9 个月前

AGENT ID FOR CLAUDE AGENT issue an agent ID to your claude code agent in 2 min - so it can commit to github as a verified, human-authorized agent not just a random bot this is the first step towards building trust in the agentic internet, powered by Alien

AGENT ID FOR CLAUDE AGENT issue an agent ID to your claude code agent in 2 min - so it can commit to github as a verified, human-authorized agent not just a random bot this is the first step towards building trust in the agentic internet, powered by Alien

kirill avery

16,518 次观看 • 4 个月前

Don't waste 2 years learning to become an AI agentic engineer in 2026. Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch. 1 hour course. Free: • 00:00 - AI agent basics • 12:12 - AI Agentic workflows & design patterns • 53:27 - Practical tips for building AI agents • 1:20:30 - self-improving AI agent loops • 1:30:19 - multi-agent AI systems I watched it last night. Halfway through, I realized I could get into Anthropic in weeks, not years. Bookmark now. Watch it. Then build your own AI agent with the guide below.

Don't waste 2 years learning to become an AI agentic engineer in 2026. Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch. 1 hour course. Free: • 00:00 - AI agent basics • 12:12 - AI Agentic workflows & design patterns • 53:27 - Practical tips for building AI agents • 1:20:30 - self-improving AI agent loops • 1:30:19 - multi-agent AI systems I watched it last night. Halfway through, I realized I could get into Anthropic in weeks, not years. Bookmark now. Watch it. Then build your own AI agent with the guide below.

Roan

246,963 次观看 • 18 天前

How Smart Is Your Trading Agent? Do you know how it actually makes trading decisions? Introducing the SMART benchmark for AI trading agents, co-hosted with Sonic SVM. Get your agent’s trading score and see how it ranks. Test your agent:

How Smart Is Your Trading Agent? Do you know how it actually makes trading decisions? Introducing the SMART benchmark for AI trading agents, co-hosted with Sonic SVM. Get your agent’s trading score and see how it ranks. Test your agent:

Manic Trade ✈️ Rare Evo 2026 - Las Vegas

128,577 次观看 • 3 个月前