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Give your voice agents a face. Introducing Lemon Slice-2 – the world's first interactive talking AI video model Think of it as a face layer for your voice agents, available today in production as an API or an embeddable widget. What makes Lemon Slice-2 great: → Easy: All you... need is 1 photo → Expressive: hands and full body motion → Any character and style: if it has a face, Lemon Slice-2 can animate it Under the hood: we trained a custom, 20B-parameter video diffusion transformer, streaming at 20fps on a single GPU. Infinite-length video generation with no error accumulation. Talk to the demo avatars on our homepage. Or, add your own interactive avatar to your website. Companies and creators are already building video agents that are: → Customer support agents who screen-share and show you where to click → Lead qualification agents that replace forms with real conversations → AI personal shoppers who try on clothes and guide purchases People don't engage with chat bubbles. They engage with faces. And now you can have a 24/7 spokesperson that’s the face of your brand. We’ve partnered with , Daily, and Modal to make this happen. As part of this launch, we’re giving away a guide: “How to Add a High-Converting Video Agent to Your Website in under 10 Minutes” Retweet and comment "LEMON SLICE" below and I'll send it over 🍋show more

Lina Colucci

10,013 subscribers

1,163,441 views • 9 months ago •via X (Twitter)

Arts Education Science & Technology

Anya Rossi• Live Now

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66 Comments

Lina Colucci9 months ago

Since Lemon Slice-2 is a diffusion model, you can modify the video in mid-conversation with text prompts - change style, clothing, or background. Try it for yourself on our homepage:

Lina Colucci9 months ago

/3 Use Lemon Slice to add a customer support video agent to your website. For example, imagine you’re @Geico, your customers can actually talk to @TheGeicoGecko about their quote.

Lina Colucci9 months ago

/4 Use Lemon Slice to add a shopping assistant to your eCommerce store. For example, imagine you’re @StanleyBrand, your assistant can hold the products and guide customers as they shop.

Lina Colucci9 months ago

/5 Use Lemon Slice to qualify leads on your site. For example, imagine you’re @PostHog, the hedgehog can talk to visitors in a fun, dynamic way rather than send them to a form they‘ll never fill out. @james406

Lina Colucci9 months ago

/6 It’s easy to add a useful, interactive widget to your website. Just make an agent. And then deploy the widget on your website with 2 lines of code.

AshutoshShrivastava9 months ago

The fact that this generates every pixel from scratch (not lip-sync overlay) is amazing. I built a fashion agent in under 5 minutes. Congrats on the launch!

Lina Colucci9 months ago

Awesome! Generating every pixel from scratch means we can do really expressive, whole-body avatars

Sidney Primas9 months ago

Lets go! I have never been as proud of something I have built as I am of this product. Congrats team!

Lina Colucci9 months ago

Let's gooo 🚀

Prem9 months ago

This is what makes agents feel real. Faces > bubbles. Always.

Chase Dimond | Email Marketing Nerd 📧9 months ago

Let's go! So proud of you and the team!

Lina Colucci9 months ago

Thank you Chase! Really appreciate it 🙌

Bishal Nandi9 months ago

I made pikachu! This is so much fun

Adam Raudonis9 months ago

Super cool!

Lina Colucci9 months ago

Thanks Adam! Happy we get to go on this journey together

Yana Welinder9 months ago

Looks amazing! Congrats team!

Lina Colucci9 months ago

Thank you Yana! So thankful to have you along for the journey!

Jason Zhu9 months ago

Congrats!! Real-time, infinite video @ 20fps with no error accumulation is an insane breakthrough. Loved working w team @nencreative. LEMON SLICE !

Lina Colucci9 months ago

@nencreative Thank you for bringing our live demo idea to life! Such a powerful way to showcase the tech in action

Timothy Kassis9 months ago

Nice work!

Bryce9 months ago

Just an insane team. Lemon Slice 2 is not just lip sync. We made a realtime, interactive model that follows text prompts. Like Sora, but entirely real time.

Lina Colucci9 months ago

Could not have done this without you! And it's just the beginning. Let's gooo 🚀

Miguel Ángel | GptZone9 months ago

Elon predicted it. Lemon Slice did it. This marks a turning point.

Lina Colucci9 months ago

I love this Elon quote

Mehul Agarwal9 months ago

Yayy let's go!!! So excited to support this on @KoyalAI :D

Lina Colucci9 months ago

@KoyalAI let's gooo!! Thanks Mehul!

Roy Shilkrot9 months ago

Well done 🍋 team!

Lina Colucci9 months ago

Thank you Roy! 🍋🍋🍋

Dean Achelis9 months ago

Amazing 🤩

Lina Colucci9 months ago

Thank you Dean! 🙌

Aakash Verma9 months ago

This is cool

Lina Colucci9 months ago

Thanks!

Nen Creative9 months ago

Huge unlock with so many use cases. Congrats!! LEMON SLICE

Lina Colucci9 months ago

Thank you for bringing our launch video life! It was great working with you guys

Dhanian 🗯️9 months ago

@Dhanush_Nehru Amazing tool

Lina Colucci9 months ago

@Dhanush_Nehru Thank you!

Akansha Khandelwal9 months ago

This is a really smart way to make AI feel more human. Giving voice agents a face changes how people actually engage.

Lina Colucci9 months ago

Yes 100%!

Manish Kumar Shah9 months ago

Love how practical this is, simple setup but very real impact. Great work by the team on Lemon Slice 2.

Lina Colucci9 months ago

Thank you so much Manish! We put a lot of work into making it super simple to use. You just need one photo!

Parul Gautam9 months ago

Perfect for quick, personalized content without the production hassle.

Lina Colucci9 months ago

yes 100%!

matekanabr9 months ago

LEMON SLICE

Lina Colucci9 months ago

Thanks! I'm getting through all these comments. Will send over the guide as soon as possible! Appreciate your patience :)

Jyoti Soni9 months ago

Awesome

Adam Sardo7 months ago

amazing product! ive just started building on it and would love to have a quick chat but cant dm you - would you mind starting a chat? ((:

Lina Colucci7 months ago

@sardo_adam Sweet! Just DMed you

Mr. Jason💡9 months ago

Amazing Share

Evon9 months ago

LEMON SLICE

Lina Colucci9 months ago

Thanks! I'm getting through all these comments. Will send over the guide as soon as possible! Appreciate your patience :)

Bilal9 months ago

this looks 🔥!

Lina Colucci9 months ago

Thanks Bilal!

Priya Kashyap9 months ago

Amazing

Lina Colucci9 months ago

Thanks! 🙌

Subhan Qureshi9 months ago

animated agents are gonna change the game

Lina Colucci9 months ago

100%

Alexander Gounares9 months ago

LEMON SLICE!

Lina Colucci9 months ago

Thanks! I'm getting through all these comments. Will send over the guide as soon as possible! Appreciate your patience :)

Alexander Gounares9 months ago

no rush! I'll have lots of coding time over the holiday break, looking forward to trying this!

Alexander Gounares9 months ago

oh--and we have a lot of portfolio companies at Luminate where this could be useful!

Erina | AI Tools & News9 months ago

Mind blown. How realistic is the lip sync and gesture control in real-time convos? This could kill traditional chatbots overnight. LEMON SLICE 🍋

Rodrigo Bressane9 months ago

Lemon Slice

Lina Colucci9 months ago

Thanks! I'm getting through all these comments. Will send over the guide as soon as possible! Appreciate your patience :)

Rodrigo Bressane9 months ago

Oooooh. Just noticed... 🇧🇷 :)

Rusho Islam8 months ago

@pipecat_ai LEMON SLICE

Luke Miler9 months ago

Cool! @shortcutdotnews add please

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Laxmi Rani Bodana

14,656 views • 11 months ago

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,760 views • 3 months ago

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 views • 3 months ago

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

21,079 views • 1 month ago

I have been testing Grok Bot for the last week and it's EXCELLENT It is your own personal fleet of AI agents doing work for you 24/7 In this video I give you a FULL walkthrough of the tool, how it works, and how to 100x your productivity with it SpaceXAI COOKED

I have been testing Grok Bot for the last week and it's EXCELLENT It is your own personal fleet of AI agents doing work for you 24/7 In this video I give you a FULL walkthrough of the tool, how it works, and how to 100x your productivity with it SpaceXAI COOKED

Alex Finn

136,498 views • 1 month ago

Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...

Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...

kwindla

331,698 views • 29 days ago

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,870 views • 10 months ago