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Google just made AI voice agents stupidly easy. Gemini 3.1 Flash Live lets you build real-time voice apps in minutes. Language tutors. Interview coaches. Virtual receptionists. Daily planners. Even custom agents with saved history using Firebase. This is what happens when voice AI stops feeling robotic and starts feeling useful.

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Julian Goldie SEO

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24,087 просмотров • 6 месяцев назад •via X (Twitter)

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I just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK. Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time. 100% Opensource.
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I just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK. Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time. 100% Opensource.

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xAI is cooking 🔥 They just launched Grok Voice, a platform for building AI voice agents. - You can build voice agents in under 2 minutes - No code required - Human-like conversations with sub-second latency - Supports 25+ languages - 80+ built-in voices or clone your own - Works with Gmail, Google Calendar, Outlook, Notion, MCPs, and more - Starts at $0.05/min and includes a free phone number
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xAI is cooking 🔥 They just launched Grok Voice, a platform for building AI voice agents. - You can build voice agents in under 2 minutes - No code required - Human-like conversations with sub-second latency - Supports 25+ languages - 80+ built-in voices or clone your own - Works with Gmail, Google Calendar, Outlook, Notion, MCPs, and more - Starts at $0.05/min and includes a free phone number

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144,824 просмотров • 2 месяцев назад

With Gemini 3 Flash, you can quickly build fun, useful apps from scratch using your voice without any prior coding knowledge. Just dictate to Gemini on the go, and it can transform your unstructured thoughts into a functioning app in minutes.
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With Gemini 3 Flash, you can quickly build fun, useful apps from scratch using your voice without any prior coding knowledge. Just dictate to Gemini on the go, and it can transform your unstructured thoughts into a functioning app in minutes.

Google Gemini

2,481,254 просмотров • 9 месяцев назад

Real-time AI voice agents for businesses are here. I created this AI assistant in minutes with no code and used my cloned voice to help handle customers at a fictitious store. Plus, there’s now a marketplace with ready-made templates where you can sell yours.
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Real-time AI voice agents for businesses are here. I created this AI assistant in minutes with no code and used my cloned voice to help handle customers at a fictitious store. Plus, there’s now a marketplace with ready-made templates where you can sell yours.

Alvaro Cintas

60,780 просмотров • 1 год назад

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.
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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.

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From a single voice prompt to a deployed, real-time AI app in minutes. Watch Thor demonstrate the power of Google AI Studio: 1️⃣ Builds a multilingual interview simulator using Gemini 3.1 Flash Live. 2️⃣ Deploy it instantly to the web via Google Cloud Run. 3️⃣ Remixes it into a customer support agent with PDF knowledge docs. Ready to start your vibe coding journey? Build, remix, and check out the gallery at
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From a single voice prompt to a deployed, real-time AI app in minutes. Watch Thor demonstrate the power of Google AI Studio: 1️⃣ Builds a multilingual interview simulator using Gemini 3.1 Flash Live. 2️⃣ Deploy it instantly to the web via Google Cloud Run. 3️⃣ Remixes it into a customer support agent with PDF knowledge docs. Ready to start your vibe coding journey? Build, remix, and check out the gallery at

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I tested Gemini 3.1 Flash Live and one thing stood out immediately: the speed. You ask a question. It answers almost instantly. No awkward delay. No clunky back-and-forth. Then it gets more interesting. You can: use voice mode, use webcam mode, share your screen, connect tools, add system instructions, and publish the app to the cloud. So this is not just “voice chat with AI.” It is the beginning of real-time AI agents you can actually ship.
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I tested Gemini 3.1 Flash Live and one thing stood out immediately: the speed. You ask a question. It answers almost instantly. No awkward delay. No clunky back-and-forth. Then it gets more interesting. You can: use voice mode, use webcam mode, share your screen, connect tools, add system instructions, and publish the app to the cloud. So this is not just “voice chat with AI.” It is the beginning of real-time AI agents you can actually ship.

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21,000 просмотров • 6 месяцев назад

Did Google just mass-murdered every voice AI startup irrelevant? Google just shipped Gemini 3.1 Flash Live. Real-time voice AND vision. Sub-second latency. 90+ languages. And the one thing no voice AI has cracked until now: it filters background noise in real-world environments. Not demo environments. Real ones. Traffic outside. TV left on. Drill running next door. That's the wall every voice AI startup has been quietly hitting for three years. The demos worked. The deployments didn't. Because the real world is loud and messy and the models couldn't tell your voice from the noise around it. Google just called that problem solved. And it's not sitting in a research paper. It's already running in production apps. Stitch is using it to let designers talk to their canvas in real-time. Ato is using it to give elderly people a companion who actually listens. Wit's End built an RPG game master with it that delivers theatrical dialogue indistinguishable from a human voice actor. Three live products. Three different industries. All shipping now. Every voice AI startup just woke up to a new baseline. The question isn't whether to build with this. The question is how fast.
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Did Google just mass-murdered every voice AI startup irrelevant? Google just shipped Gemini 3.1 Flash Live. Real-time voice AND vision. Sub-second latency. 90+ languages. And the one thing no voice AI has cracked until now: it filters background noise in real-world environments. Not demo environments. Real ones. Traffic outside. TV left on. Drill running next door. That's the wall every voice AI startup has been quietly hitting for three years. The demos worked. The deployments didn't. Because the real world is loud and messy and the models couldn't tell your voice from the noise around it. Google just called that problem solved. And it's not sitting in a research paper. It's already running in production apps. Stitch is using it to let designers talk to their canvas in real-time. Ato is using it to give elderly people a companion who actually listens. Wit's End built an RPG game master with it that delivers theatrical dialogue indistinguishable from a human voice actor. Three live products. Three different industries. All shipping now. Every voice AI startup just woke up to a new baseline. The question isn't whether to build with this. The question is how fast.

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Search Live is now global 🌍 Interactive, multimodal conversations in AI Mode are now available in over 200 countries & territories. This update is powered by Gemini 3.1 Flash Live, our highest quality audio and voice model yet. This model is also inherently multilingual, so people around the world can speak with Search in their preferred language.

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My mind is f*** blown. I built this live insurance claim agent that can see, talk, think and draw in real-time using the new Gemini 3.8 LIVE. Even switched my language to Hindi mid-call and it still worked. VOICE AI can't be more real. Made it 100% open-source.

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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:
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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

87,868 просмотров • 1 год назад

Can't believe it. Can't believe AI. I just vibe coded a diary with realistic page flip GSAP animations entirely using Gemini 3.1 Pro in Google AI Studio. And yeah… it’s fully responsive too. At this point what even is “development” anymore?? Live: Code:
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Can't believe it. Can't believe AI. I just vibe coded a diary with realistic page flip GSAP animations entirely using Gemini 3.1 Pro in Google AI Studio. And yeah… it’s fully responsive too. At this point what even is “development” anymore?? Live: Code:

The Bugged Dev

54,391 просмотров • 5 месяцев назад

GOOGLE JUST SHIPPED ITS ENTIRE 2026 ROADMAP IN ONE KEYNOTE Gemini 3.5 Flash → new flagship. frontier brain, agentic, beats 3.1 pro, 4x faster Gemini 3.5 Pro → the bigger one, drops next month Gemini Omni → any input in, editable VIDEO out Gemini Spark → a personal agent that actually DOES things across your apps Daily Brief → your morning, pre-read from gmail, calendar and tasks Neural Expressive → the gemini app got a full redesign Universal Cart → one agentic cart across gemini, youtube and gmail Information Agents → search that monitors the web 24/7 FOR you Intelligent Search Box → expands as you type for real conversations Search Mini Apps → build your own dashboards inside search AI Mode → now fully running on gemini 3.5 flash Gmail Live → talk to your inbox Docs Live → write and edit docs by voice AI Inbox → gmail, organized by ai Google Keep → speak freely, it cleans it into notes Google Pics → a brand new ai image and design app Ask YouTube → search the ENTIRE youtube catalogue with answers Android XR Glasses → "intelligent eyewear," audio glasses this fall Android Halo → a live strip showing what your agent is doing Antigravity 2.0 → the agent-first dev platform, upgraded Flow + Flow Music → now standalone mobile apps
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GOOGLE JUST SHIPPED ITS ENTIRE 2026 ROADMAP IN ONE KEYNOTE Gemini 3.5 Flash → new flagship. frontier brain, agentic, beats 3.1 pro, 4x faster Gemini 3.5 Pro → the bigger one, drops next month Gemini Omni → any input in, editable VIDEO out Gemini Spark → a personal agent that actually DOES things across your apps Daily Brief → your morning, pre-read from gmail, calendar and tasks Neural Expressive → the gemini app got a full redesign Universal Cart → one agentic cart across gemini, youtube and gmail Information Agents → search that monitors the web 24/7 FOR you Intelligent Search Box → expands as you type for real conversations Search Mini Apps → build your own dashboards inside search AI Mode → now fully running on gemini 3.5 flash Gmail Live → talk to your inbox Docs Live → write and edit docs by voice AI Inbox → gmail, organized by ai Google Keep → speak freely, it cleans it into notes Google Pics → a brand new ai image and design app Ask YouTube → search the ENTIRE youtube catalogue with answers Android XR Glasses → "intelligent eyewear," audio glasses this fall Android Halo → a live strip showing what your agent is doing Antigravity 2.0 → the agent-first dev platform, upgraded Flow + Flow Music → now standalone mobile apps

shirish

199,638 просмотров • 4 месяцев назад

👀 Revolut has rolled out AI voice agents from across the UK and Europe, and the numbers are hard to ignore. What changed? • 8× faster time to ticket resolution • 99.7% successful call completion • 31+ languages, live, native-quality voice • Instant, 24/7 support for 4M+ customers Instead of outsourcing the brain, Revolut kept full control of orchestration, logic, and data, while plugging in best-in-class voice, latency, and compliance (PCI + zero retention). AI agents are no longer just cost-cutting chatbots. They’re becoming front-line CX infrastructure; fast, multilingual, compliant, and deeply integrated with core systems. At scale, voice is back, just powered by AI. What do you think about this feature?
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👀 Revolut has rolled out AI voice agents from across the UK and Europe, and the numbers are hard to ignore. What changed? • 8× faster time to ticket resolution • 99.7% successful call completion • 31+ languages, live, native-quality voice • Instant, 24/7 support for 4M+ customers Instead of outsourcing the brain, Revolut kept full control of orchestration, logic, and data, while plugging in best-in-class voice, latency, and compliance (PCI + zero retention). AI agents are no longer just cost-cutting chatbots. They’re becoming front-line CX infrastructure; fast, multilingual, compliant, and deeply integrated with core systems. At scale, voice is back, just powered by AI. What do you think about this feature?

Marcel van Oost

138,904 просмотров • 8 месяцев назад

New course: Add voice to your AI agents and applications, built with Vocal Bridge (disclosure: an AI Fund portfolio company) and taught by its CEO Ashwyn Sharma. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture:
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New course: Add voice to your AI agents and applications, built with Vocal Bridge (disclosure: an AI Fund portfolio company) and taught by its CEO Ashwyn Sharma. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture:

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96,370 просмотров • 3 месяцев назад