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Grok Voice Agent is absolutely insane Watch how it handles a dinner reservation flawlessly - felt exactly like talking to a real human host This is what AI-powered customer support looks like in 2026: → First response in under 1 second - 5× faster than rivals → 5 ultra-natural...

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X Freeze

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591,858 次观看 • 5 个月前 •via X (Twitter)

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You can now literally clone your voice in the Grok API and use it instantly for voice-powered services Build your own assistant and customer support that takes your calls and runs your business with your voice It’s incredibly easy to set up and takes less than 4 mins to train your voice Just select "Clone a Voice" and read the prompt exactly as shown For the best results, record in a quiet room so Grok can capture your voice as clearly as possible You can also choose from an amazing built-in voice library, with support for 20+ languages and multiple expressive voice options
0:53

You can now literally clone your voice in the Grok API and use it instantly for voice-powered services Build your own assistant and customer support that takes your calls and runs your business with your voice It’s incredibly easy to set up and takes less than 4 mins to train your voice Just select "Clone a Voice" and read the prompt exactly as shown For the best results, record in a quiet room so Grok can capture your voice as clearly as possible You can also choose from an amazing built-in voice library, with support for 20+ languages and multiple expressive voice options

X Freeze

79,165 次观看 • 4 个月前

OpenClaw just turned Discord into a 24/7 AI call center. Gemini 3.1 is now built in. That means your agent can read screenshots, understand the issue, and answer like a real support rep. Then it joins your Discord voice channel and talks live in real time. This isn’t “AI replies.” This is AI doing the job. Version 2026.2.21 also added threadbound sessions so multi-agent workflows stop becoming a chaotic group chat. Prompt caching makes repeat tasks way faster too. If you run a community, agency, or support channel, this update changes your whole ops stack. What would you use a voice agent for first, support, onboarding, or moderation?
8:19

OpenClaw just turned Discord into a 24/7 AI call center. Gemini 3.1 is now built in. That means your agent can read screenshots, understand the issue, and answer like a real support rep. Then it joins your Discord voice channel and talks live in real time. This isn’t “AI replies.” This is AI doing the job. Version 2026.2.21 also added threadbound sessions so multi-agent workflows stop becoming a chaotic group chat. Prompt caching makes repeat tasks way faster too. If you run a community, agency, or support channel, this update changes your whole ops stack. What would you use a voice agent for first, support, onboarding, or moderation?

Julian Goldie SEO

27,564 次观看 • 6 个月前

Everyone is talking about Hermes Agent, and for good reason It is the most reliable AI agent on Earth right now A 24/7/365 employee that never crashes If you don't have one set up yet, you're missing out This is your COMPLETE guide to Hermes Agent, from set up to use cases:
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Everyone is talking about Hermes Agent, and for good reason It is the most reliable AI agent on Earth right now A 24/7/365 employee that never crashes If you don't have one set up yet, you're missing out This is your COMPLETE guide to Hermes Agent, from set up to use cases:

Alex Finn

82,594 次观看 • 4 个月前

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast
0:57

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

Om Patel

27,131 次观看 • 5 个月前

Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:
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Learn to build conversational AI voice agents in "Building AI Voice Agents for Production", created in collaboration with LiveKit and RealAvatar, and taught by dsa (Co-founder & CEO of LiveKit), Shayne (Developer Advocate, LiveKit), and Nedelina Teneva (Head of AI at RealAvatar, an AI Fund portfolio company). Voice agents combine speech and reasoning capabilities to enable real-time conversations. They're already being used to support customer service, to improve accessibility in healthcare, for entertainment applications, and for talk therapy. In this course, you’ll learn to build voice agents that listen, reason, and respond naturally. You’ll follow the architecture used to create the "AI Andrew" Avatar, a collaborative project between and RealAvatar that responds to users in what sounds like my voice. You’ll build a voice agent from scratch and deploy it to the cloud, enabling support for many simultaneous users. What you’ll learn: - Understand the fundamentals of voice agents, including key components like speech-to-text (STT), text-to-speech (TTS), and LLMs, and how latency is introduced at each layer. - Explore voice agent architectures and the trade-offs between modular pipelines and speech-to-speech APIs. - Explore how platforms like LiveKit mitigate latency issues with optimized networking infrastructure and low-latency communication protocols. - Learn how to connect client devices to voice agents using WebRTC—and why it outperforms HTTP and WebSocket for low-latency audio streaming. - Incorporate voice activity detection (VAD), end-of-turn detection, and context management to detect turns, handle interruptions, and manage conversational flow. - Understand the trade-offs between latency, quality, and cost in an example in which you build a voice agent and change its voice. - Equip your agent with metrics to measure latency at each stage of the voice pipeline and learn the key levers you can pull to make your agent faster and more responsive. The voice agents built in this course also incorporate voice technology from , a supporting contributor to the project. By the end of this course, you'll have learned the components of an AI voice agent pipeline, combined them into a system with low-latency communication, and deployed them on cloud infrastructure so it scales to many users. I’m looking forward to seeing what voice agents you build from this course! Please sign up here:

Andrew Ng

87,810 次观看 • 1 年前

I just built an AI voice agent for my company in 5 minutes. Pasted our website URL. It scraped everything. Built the agent. I called it. It knew our entire business and tried to book me a demo. This is the same AI behind Marriott, Caesars, and Gordon Ramsay. Watch the full build: Here’s what PolyAI’s Agent Wizard actually does: → Enter your website URL → It scrapes FAQs, product info, policies, hours — everything → Auto-builds a voice agent with your business knowledge → Choose a voice, customize the personality → Start taking calls I got early access to Agent Wizard and tested it on Gerra (my AI + robotics company). The agent accurately described our multimodal datasets, answered technical questions, and even offered to schedule a demo with real time slots. This is the same tech powering: • Marriott — hotel reservations • Caesars — casino customer service • Gordon Ramsay — restaurant bookings • FedEx, PG&E, UniCredit + 100 more 2,000+ deployments. Millions of calls daily. 24+ languages. 391% ROI. $10.3M avg savings per enterprise. Built voice-first by 3 Cambridge PhDs who helped build Siri. Backed by NVIDIA, Khosla Ventures, Zendesk. $200M+ raised. $750M+ valuation. Enterprise voice AI used to take months to deploy. This took me 5 minutes. Want the Voice Agent Deployment Playbook? Like + comment “VOICE” + repost, and I’ll DM it to you. (must be following)
4:47

I just built an AI voice agent for my company in 5 minutes. Pasted our website URL. It scraped everything. Built the agent. I called it. It knew our entire business and tried to book me a demo. This is the same AI behind Marriott, Caesars, and Gordon Ramsay. Watch the full build: Here’s what PolyAI’s Agent Wizard actually does: → Enter your website URL → It scrapes FAQs, product info, policies, hours — everything → Auto-builds a voice agent with your business knowledge → Choose a voice, customize the personality → Start taking calls I got early access to Agent Wizard and tested it on Gerra (my AI + robotics company). The agent accurately described our multimodal datasets, answered technical questions, and even offered to schedule a demo with real time slots. This is the same tech powering: • Marriott — hotel reservations • Caesars — casino customer service • Gordon Ramsay — restaurant bookings • FedEx, PG&E, UniCredit + 100 more 2,000+ deployments. Millions of calls daily. 24+ languages. 391% ROI. $10.3M avg savings per enterprise. Built voice-first by 3 Cambridge PhDs who helped build Siri. Backed by NVIDIA, Khosla Ventures, Zendesk. $200M+ raised. $750M+ valuation. Enterprise voice AI used to take months to deploy. This took me 5 minutes. Want the Voice Agent Deployment Playbook? Like + comment “VOICE” + repost, and I’ll DM it to you. (must be following)

Aryan Mahajan

28,485 次观看 • 6 个月前

Just built a customer support agent because my VA is one scam allegation away from a mental breakdown. This AI slave handles every customer tantrum. Connects to email, pulls Shopify data, and responds in your brand voice minus the trauma. Follow, RT + Comment "support" for the workflow. (Need to do all 3 or my agent won't find your handle to send the DM, give it 20 mins) - Complete setup walkthrough + node-by-node breakdown - Auto-labels emails so you know which Karens to avoid - Pulls customer + order info from Shopify instantly - Responds with your exact brand tone (without the sarcasm) - Accesses brand identity through Pinecone vector memory - Never threatens to quit or asks for a raise Why pay humans to get emotionally destroyed by customers when AI can take the beating instead?
1:36

Just built a customer support agent because my VA is one scam allegation away from a mental breakdown. This AI slave handles every customer tantrum. Connects to email, pulls Shopify data, and responds in your brand voice minus the trauma. Follow, RT + Comment "support" for the workflow. (Need to do all 3 or my agent won't find your handle to send the DM, give it 20 mins) - Complete setup walkthrough + node-by-node breakdown - Auto-labels emails so you know which Karens to avoid - Pulls customer + order info from Shopify instantly - Responds with your exact brand tone (without the sarcasm) - Accesses brand identity through Pinecone vector memory - Never threatens to quit or asks for a raise Why pay humans to get emotionally destroyed by customers when AI can take the beating instead?

Nozz

38,095 次观看 • 1 年前

Hey Everyone! Meet TARA🙎🏻‍♀️ Tara is an AI voice receptionist built specifically for restaurants (can also be tailored for other businesses) and she's about to change the way you run your business. She's never late, never tired and never puts a customer on hold. Here's everything Tara handles on her own: + Answers every call (general questions, menu info, hours, policies) + Takes delivery and pickup orders while you're away + Calculates your customer's bill automatically + Sends a payment link straight to their email + Notifies your customer the moment payment is confirmed + Alerts your kitchen team the second a new order comes in + Checks availability and manages table reservations end to end + Sends branded confirmation emails to customers and your team But Tara isn't just a voice agent. She's a listener. She pays attention to every details, confirms names, confirms addresses, reads out order summaries before submitting anything. And for questions she can't answer? She collects the details and sends them straight to you. As a Restaurant / Business owner, this means: — No missed calls — No lost customers — No salary to pay — No sick days — No bad days Tara is available 24/7 and she shows up every single time. Want Tara for your restaurant / business? Drop a DM or comment "TARA" below and let's talk.
9:21

Hey Everyone! Meet TARA🙎🏻‍♀️ Tara is an AI voice receptionist built specifically for restaurants (can also be tailored for other businesses) and she's about to change the way you run your business. She's never late, never tired and never puts a customer on hold. Here's everything Tara handles on her own: + Answers every call (general questions, menu info, hours, policies) + Takes delivery and pickup orders while you're away + Calculates your customer's bill automatically + Sends a payment link straight to their email + Notifies your customer the moment payment is confirmed + Alerts your kitchen team the second a new order comes in + Checks availability and manages table reservations end to end + Sends branded confirmation emails to customers and your team But Tara isn't just a voice agent. She's a listener. She pays attention to every details, confirms names, confirms addresses, reads out order summaries before submitting anything. And for questions she can't answer? She collects the details and sends them straight to you. As a Restaurant / Business owner, this means: — No missed calls — No lost customers — No salary to pay — No sick days — No bad days Tara is available 24/7 and she shows up every single time. Want Tara for your restaurant / business? Drop a DM or comment "TARA" below and let's talk.

Lordfaith💎

34,939 次观看 • 6 个月前

Large businesses have always had someone to call when their payments needed attention. Small businesses never really had that support. All they got was a support ticket number and a wait time in hours which feels very long in the quick commerce era. So we decided to change that. Meet RAY, our AI account manager, now live on WhatsApp. Ask it anything about your payments and like a friend who’s on your side, it answers instantly. "What happened to my payments yesterday?" "Send this customer a payment link." "Issue a refund for that order." RAY handles it, right there in the chat. But like I said, RAY is like a friend who’s really on your side, it doesn't wait for you to ask. If your settlement is about to get delayed because of a bank holiday, RAY tells you first. If there's a way to boost your payment success rate, RAY brings it to you. Built with IndusInd Bank, Bajaj Finance is already live on it and it is 20,000+ conversations and counting. So no matter what the size of your business, you should have the same support. The one that feels like talking to a friend. Get access to RAY AI account manager here: Razorpay
1:14

Large businesses have always had someone to call when their payments needed attention. Small businesses never really had that support. All they got was a support ticket number and a wait time in hours which feels very long in the quick commerce era. So we decided to change that. Meet RAY, our AI account manager, now live on WhatsApp. Ask it anything about your payments and like a friend who’s on your side, it answers instantly. "What happened to my payments yesterday?" "Send this customer a payment link." "Issue a refund for that order." RAY handles it, right there in the chat. But like I said, RAY is like a friend who’s really on your side, it doesn't wait for you to ask. If your settlement is about to get delayed because of a bank holiday, RAY tells you first. If there's a way to boost your payment success rate, RAY brings it to you. Built with IndusInd Bank, Bajaj Finance is already live on it and it is 20,000+ conversations and counting. So no matter what the size of your business, you should have the same support. The one that feels like talking to a friend. Get access to RAY AI account manager here: Razorpay

Shashank Kumar

16,512 次观看 • 6 天前

Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.
1:08

Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.

Giga

212,697 次观看 • 2 个月前

stumbled onto something genuinely impressive today - real-time interactive AI avatars with 180ms latency let me break down why I think this is one of the more underrated AI products right now 👇 most AI agents are either a chat box or a robotic voice. anam gives them a face. photorealistic. micro-expressions. no looping, no mouth-dubbing nonsense. the numbers are hard to ignore: → +44% engagement when your agent has a face vs text/voice only → CARA-3 (their latest model) is #1 across ALL avatar benchmarks in 2025 → 33% faster than the next-best competitor → 180ms avg response time, literally faster than a blink → 70+ languages with native voices → plug in your own LLM, your own voice, your own avatar image use cases they're already disrupting: customer support, sales, medical services, language tutoring, skill training and it's actually developer-friendly. clean SDK, LiveKit + Pipecat integrations, no-code option if you don't want to touch the API if you're building AI products or advising companies on AI strategy, this is one to watch
0:51

stumbled onto something genuinely impressive today - real-time interactive AI avatars with 180ms latency let me break down why I think this is one of the more underrated AI products right now 👇 most AI agents are either a chat box or a robotic voice. anam gives them a face. photorealistic. micro-expressions. no looping, no mouth-dubbing nonsense. the numbers are hard to ignore: → +44% engagement when your agent has a face vs text/voice only → CARA-3 (their latest model) is #1 across ALL avatar benchmarks in 2025 → 33% faster than the next-best competitor → 180ms avg response time, literally faster than a blink → 70+ languages with native voices → plug in your own LLM, your own voice, your own avatar image use cases they're already disrupting: customer support, sales, medical services, language tutoring, skill training and it's actually developer-friendly. clean SDK, LiveKit + Pipecat integrations, no-code option if you don't want to touch the API if you're building AI products or advising companies on AI strategy, this is one to watch

Vyom

267,263 次观看 • 3 个月前

How to build voice AI agents today. 📱 Step 1: Access Google AI Studio free Go to the platform. Find "Build" section. Step 2: Choose native audio sandbox Click the function call option. Allow microphone. Step 3: Customize your system prompt Type what you want. Define agent behavior. Step 4: Test your voice agentClick start. Speak naturally. Get responses. Step 5: Add features you need Toggle settings. Adjust voice. Change language. What you can build right now: → Customer support bots → Language learning tutors → Spanish-speaking assistants → Real-time voice helpers The Gemini Live API powers everything. 🚀 It streams responses in real time. No lag. No delays. Just conversation. You can also share apps: • Save your voice agent • Copy the shareable link • Send to anyone worldwide • They use it instantly Deploy to Google Cloud optional. Download files if you prefer. 💾 Save this post, you'll need it. Want the complete SOP? 📋DM me for access.
14:06

How to build voice AI agents today. 📱 Step 1: Access Google AI Studio free Go to the platform. Find "Build" section. Step 2: Choose native audio sandbox Click the function call option. Allow microphone. Step 3: Customize your system prompt Type what you want. Define agent behavior. Step 4: Test your voice agentClick start. Speak naturally. Get responses. Step 5: Add features you need Toggle settings. Adjust voice. Change language. What you can build right now: → Customer support bots → Language learning tutors → Spanish-speaking assistants → Real-time voice helpers The Gemini Live API powers everything. 🚀 It streams responses in real time. No lag. No delays. Just conversation. You can also share apps: • Save your voice agent • Copy the shareable link • Send to anyone worldwide • They use it instantly Deploy to Google Cloud optional. Download files if you prefer. 💾 Save this post, you'll need it. Want the complete SOP? 📋DM me for access.

Julian Goldie SEO

15,634 次观看 • 11 个月前

You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.
1:24

You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.

Riley Brown

40,108 次观看 • 1 年前

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta
1:02

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta

Atomicwork

15,053 次观看 • 1 年前

Most AI agents stop at chat. Agent Max is built for what comes after. Max tools. Max control and configurability. Max production readiness. Your agent can use: • any tools, APIs, MCP, and workflows • built-in knowledge: docs/website • multi-model: OpenAI, Claude, Gemini... • agent-to-agent handoffs • human-in-the-loop • logs, usage tracking, environments, and RBAC • enterprise controls for SOC2/GDPR/HIPAA/ISO needs • hosted chat UI, API, Skill in agents, Slack, WhatsApp, Teams, Voice, and more Agent Max is live now in BuildShip for everyone. Give it a try, or comment/DM to book a demo if you want help setting up your first agent.
1:15

Most AI agents stop at chat. Agent Max is built for what comes after. Max tools. Max control and configurability. Max production readiness. Your agent can use: • any tools, APIs, MCP, and workflows • built-in knowledge: docs/website • multi-model: OpenAI, Claude, Gemini... • agent-to-agent handoffs • human-in-the-loop • logs, usage tracking, environments, and RBAC • enterprise controls for SOC2/GDPR/HIPAA/ISO needs • hosted chat UI, API, Skill in agents, Slack, WhatsApp, Teams, Voice, and more Agent Max is live now in BuildShip for everyone. Give it a try, or comment/DM to book a demo if you want help setting up your first agent.

BuildShip

75,946 次观看 • 2 个月前

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:
1:07

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,562 次观看 • 4 个月前

If you use Zendesk for customer support and haven't set up Chatbase yet, this walkthrough is for you. We cover the full setup steps of adding a powerful AI agent so your team has backup that works 24/7 to resolve what it can, escalates what it can't, and gets smarter with every ticket. In the video: connecting your account, training on your full ticket history, automating ticket creation and escalation, and drafting responses directly inside Zendesk.
6:25

If you use Zendesk for customer support and haven't set up Chatbase yet, this walkthrough is for you. We cover the full setup steps of adding a powerful AI agent so your team has backup that works 24/7 to resolve what it can, escalates what it can't, and gets smarter with every ticket. In the video: connecting your account, training on your full ticket history, automating ticket creation and escalation, and drafting responses directly inside Zendesk.

Chatbase

16,974 次观看 • 5 个月前

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think
38:43

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

GREG ISENBERG

557,859 次观看 • 1 个月前

I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.
0:20

I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.

Aleiah

255,680 次观看 • 15 天前