Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

I just shipped Design Feedback Agent using Replit ⠕ agent without writing a single line of code. You can use this agent to get constructive feedback on your designs--website, mobile app, email newsletter etc. Check out the video demo, and try it for yourself at My biggest takeaway as... show more

Levin Stanley

1,045 subscribers

17,762 Aufrufe • vor 1 Jahr •via X (Twitter)

Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

6 Kommentare

Profilbild von Ozlem Peksoy Bishop

Ozlem Peksoy Bishopvor 1 Jahr

@Replit Awesome!

Profilbild von UserInterface

UserInterfacevor 4 Jahren

Need a Freelancer? Post a Job and they will bid to do the work. #gig #gigworker #freelancer

Profilbild von Bob Durie

Bob Durievor 1 Jahr

@Replit This is amazing Levin!!! Going to give this a go with some stuff I’m working on this week, will let you know!!! 👏🏼👏🏼👏🏼

Profilbild von Levin Stanley

Levin Stanleyvor 1 Jahr

@Replit Awesome, would love to get feedback on how to improve it!

Profilbild von Hai The Dude

Hai The Dudevor 1 Jahr

@Replit @felipeizq gotta have to invite my boi Levin out to AIX as a guest speaker

Profilbild von MaximeTinker

MaximeTinkervor 1 Jahr

@Replit J'adore comment l'IA simplifie le design, rendant la rétroaction plus accessible aux créateurs.

Ähnliche Videos

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

LangChain

26,513 Aufrufe • vor 4 Monaten

I'm excited to share my talk on building Agentic RAG systems at last week's event with Arize AI and Google! 🥳 My talk covered: 1. The differences between Vanilla RAG and Agentic RAG 2. The agent ecosystem and how you can build agents today 3. How Weaviate AI Database is building agents with Generative Feedback Loops (GFLs) This snippet presents the multi-agent paradigm for Agentic RAG. I hope you find this talk interesting and would love to know what you think! The slide deck and full video links are below.

I'm excited to share my talk on building Agentic RAG systems at last week's event with Arize AI and Google! 🥳 My talk covered: 1. The differences between Vanilla RAG and Agentic RAG 2. The agent ecosystem and how you can build agents today 3. How Weaviate AI Database is building agents with Generative Feedback Loops (GFLs) This snippet presents the multi-agent paradigm for Agentic RAG. I hope you find this talk interesting and would love to know what you think! The slide deck and full video links are below.

Erika Shorten

61,317 Aufrufe • vor 1 Jahr

Excited to announce my new short course: Building Agentic Applications with Replit Agent and n8n. With AI this capable, I believe anyone can become a builder. The stack I use here will teach you how to rapidly build agentic apps with no-code tools.

Excited to announce my new short course: Building Agentic Applications with Replit Agent and n8n. With AI this capable, I believe anyone can become a builder. The stack I use here will teach you how to rapidly build agentic apps with no-code tools.

elvis

41,359 Aufrufe • vor 11 Monaten

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

26,738 Aufrufe • vor 1 Jahr

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

Manny Bernabe

30,925 Aufrufe • vor 5 Monaten

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Santiago

13,708 Aufrufe • vor 2 Monaten

Claude Code for Video Animations? Building an app with an agent that can create and edit animated videos... In 4 prompts. This was my first test of remotion, i'm going to see how good i can get the Claude Agent SDK at making animated videos.

Claude Code for Video Animations? Building an app with an agent that can create and edit animated videos... In 4 prompts. This was my first test of remotion, i'm going to see how good i can get the Claude Agent SDK at making animated videos.

Riley Brown

95,053 Aufrufe • vor 4 Monaten

Need a beautiful design for your next Replit app? Head to 21st⁠.dev and: - Find a design - Copy the prompt into Replit Agent - Iterate and add Replit’s built-in tools and databases - Deploy your app to the public - Profit Share what you build and tag us!

Need a beautiful design for your next Replit app? Head to 21st⁠.dev and: - Find a design - Copy the prompt into Replit Agent - Iterate and add Replit’s built-in tools and databases - Deploy your app to the public - Profit Share what you build and tag us!

Replit ⠕

50,651 Aufrufe • vor 1 Jahr

🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:

🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:

Harrison Chase

98,520 Aufrufe • vor 7 Monaten

We just released FastA2A! 🎉 On the video, you can see on how to turn a Pydantic AI agent into an A2A server with a single line of code! You can also see how to turn an agent into a CLI chat application. 😁 Check it out on the latest PydanticAI version!

We just released FastA2A! 🎉 On the video, you can see on how to turn a Pydantic AI agent into an A2A server with a single line of code! You can also see how to turn an agent into a CLI chat application. 😁 Check it out on the latest PydanticAI version!

Pydantic

40,294 Aufrufe • vor 1 Jahr

Episode 5 of How I AI with some practical AI hacks for managers from hilary gridley, Head of Core Product at WHOOP. This one is all about feedback: how to scale it, how to make it specific, how to give it to AI tools. You’ll learn how to: - build rubrics for what “good” looks like - create GPTs to “think like you” and use them to scale quality feedback to your team - use prompting techniques to improve the insights you get from AI - improve your quality of writing and strategic thinking by bringing it all together Plus we gab about getting more women in AI, girly use cases for chatGPT, and whether or not getting invited to meetings is a good thing. Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for genetic workflows ☑️ Vanta automate compliance and simplify security

Episode 5 of How I AI with some practical AI hacks for managers from hilary gridley, Head of Core Product at WHOOP. This one is all about feedback: how to scale it, how to make it specific, how to give it to AI tools. You’ll learn how to: - build rubrics for what “good” looks like - create GPTs to “think like you” and use them to scale quality feedback to your team - use prompting techniques to improve the insights you get from AI - improve your quality of writing and strategic thinking by bringing it all together Plus we gab about getting more women in AI, girly use cases for chatGPT, and whether or not getting invited to meetings is a good thing. Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for genetic workflows ☑️ Vanta automate compliance and simplify security

claire vo 🖤

18,933 Aufrufe • vor 1 Jahr

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Aaliya

17,042 Aufrufe • vor 4 Monaten

Claude Code with Sonnet 4.5 is actually incredible I gave it a prompt for a super complex app, and it one shot the entire thing In this video I walk you through how to use Claude Code to build a prompt library app you can start using immediately (no coding experience required):

Claude Code with Sonnet 4.5 is actually incredible I gave it a prompt for a super complex app, and it one shot the entire thing In this video I walk you through how to use Claude Code to build a prompt library app you can start using immediately (no coding experience required):

Alex Finn

40,858 Aufrufe • vor 8 Monaten

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

joyce

14,133 Aufrufe • vor 3 Monaten

I tested the new Replit ⠕ Agent 4, and it completely changed how building apps feels. You can design, plan, and build at the same time. No waiting for the AI to finish one task before starting the next. Here’s a simple workflow I tried 👇

I tested the new Replit ⠕ Agent 4, and it completely changed how building apps feels. You can design, plan, and build at the same time. No waiting for the AI to finish one task before starting the next. Here’s a simple workflow I tried 👇

Your Tech Girl

12,661 Aufrufe • vor 3 Monaten

there's a lot of content around AI agents but no one is showing you how to actually design them to work reliably that's why I made a full walkthrough breaking down how I think through agent design, using a contract chatbot as an example... inside, I cover: – why I prefer static workflows over free-roaming agents – how I use multiple choice prompts to control next steps – the exact guardrails I use to avoid hallucinations – how the agent answers legal questions and structures outputs into Supabase if you want to see how I actually build agents that don’t break like + reply “agent” and I’ll DM it to you (must be following)

there's a lot of content around AI agents but no one is showing you how to actually design them to work reliably that's why I made a full walkthrough breaking down how I think through agent design, using a contract chatbot as an example... inside, I cover: – why I prefer static workflows over free-roaming agents – how I use multiple choice prompts to control next steps – the exact guardrails I use to avoid hallucinations – how the agent answers legal questions and structures outputs into Supabase if you want to see how I actually build agents that don’t break like + reply “agent” and I’ll DM it to you (must be following)

Tyler

50,556 Aufrufe • vor 1 Jahr

When we unveiled Replit Agent in beta last year, we showed how to build a landmark explorer so you can see interesting things around you. It was slow, buggy, not pretty, and expensive. Now with Replit Design I can make it styled exactly to my taste fast and cheap—on my phone!

When we unveiled Replit Agent in beta last year, we showed how to build a landmark explorer so you can see interesting things around you. It was slow, buggy, not pretty, and expensive. Now with Replit Design I can make it styled exactly to my taste fast and cheap—on my phone!

Amjad Masad

12,750 Aufrufe • vor 6 Monaten

You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.

You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.

Google Antigravity

81,930 Aufrufe • vor 6 Monaten

Now you can use your favorite AI agent to control your Coinbase account (or a sub-account), with Coinbase for Agents. Here’s a quick demo on how to set it up and some of the cool things you can get your agent to do.

Now you can use your favorite AI agent to control your Coinbase account (or a sub-account), with Coinbase for Agents. Here’s a quick demo on how to set it up and some of the cool things you can get your agent to do.

Brian Armstrong

207,614 Aufrufe • vor 5 Tagen

Is your job actually safe from AI? I’ve been thinking about this a lot. To get some real answers, I'm using Frank AI Researcher to let you talk to an AI agent yourself. It takes 5 minutes. You tell the agent what you do every day and what tech you use. Then, it gives you a "future-proof score" to show how much of your work can be automated right now. I really want to see what you guys find out. Link to talk to the agent:👇

Is your job actually safe from AI? I’ve been thinking about this a lot. To get some real answers, I'm using Frank AI Researcher to let you talk to an AI agent yourself. It takes 5 minutes. You tell the agent what you do every day and what tech you use. Then, it gives you a "future-proof score" to show how much of your work can be automated right now. I really want to see what you guys find out. Link to talk to the agent:👇

AI Panda

70,511 Aufrufe • vor 2 Monaten