正在加载视频...

视频加载失败

返回首页

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend...

KaranVaidya6's profile picture

Karan Vaidya

14,879 subscribers

62,030 次观看 • 1 年前 •via X (Twitter)

科学技术教育
LIVE

Anya Rossi• Live Now

Private livecam show

11 条评论

Animesh Srivastava 的头像
Animesh Srivastava1 年前

Thats awesome! @IdeasDirectory

ash 的头像
ash1 年前

What tool did you use to make this video?

TeslaElon SpaceXFan 的头像
TeslaElon SpaceXFan1 年前

Grok 3 🔥❤️

PDF GPT 的头像
PDF GPT1 年前

Everyone is getting ahead with AI. You should be too. Summarize documents, craft emails, and generate custom content instantly with this powerful tool. It's like having ChatGPT tailored for your job. Try it for free.

Dr.Yev🔥 的头像
Dr.Yev🔥1 年前

that was smooth! nice one

Vito 的头像
Vito1 年前

did you test coding claude vs grok 3?

Rohit Ghumare | That #DevOps Guy✍️ 的头像
Rohit Ghumare | That #DevOps Guy✍️1 年前

Smooooth.

Limitless 的头像
Limitless1 年前

Insane GG

Ọ̀LÁTUNDÉ 的头像
Ọ̀LÁTUNDÉ1 年前

Neat

Tejas Rane 的头像
Tejas Rane1 年前

Hey Karan, can you explain to me what Composio does? I am a Non-coder (Vibe coder :P)

Karan Vaidya 的头像
Karan Vaidya1 年前

It’s a developer tool. So…

相关视频

INSANE: Grok 3 + Replit Agent is a Superpower!! Using the pair, I built an AI agent that reviews my Pull Requests Here's the flow: • Grok 3 generates PR-reviewing agent code using Composio + LlamaIndex • Replit Agent automatically crafts the front-end interface • Get a ready-to-run workflow where you paste the url to your PR, and the agent generates a code review instantly with suggestions. Built with Grok Replit ⠕ Agent Powered by LlamaIndex 🦙 Groq Inc repl link:
0:59

INSANE: Grok 3 + Replit Agent is a Superpower!! Using the pair, I built an AI agent that reviews my Pull Requests Here's the flow: • Grok 3 generates PR-reviewing agent code using Composio + LlamaIndex • Replit Agent automatically crafts the front-end interface • Get a ready-to-run workflow where you paste the url to your PR, and the agent generates a code review instantly with suggestions. Built with Grok Replit ⠕ Agent Powered by LlamaIndex 🦙 Groq Inc repl link:

Karan Vaidya

1,684,754 次观看 • 1 年前

Introducing DeepSeek based AI Agents! We built an Executive AI Assistant that can, - Listen to incoming emails - Fetch all your unread emails and summarize the important ones - Draft and Send reply emails Connect with Gmail, Calendar, Slack and more with Composio Frontend designed with Vercel v0 Use Deepseek and other LLMs with Groq Inc with AI SDK code:
0:40

Introducing DeepSeek based AI Agents! We built an Executive AI Assistant that can, - Listen to incoming emails - Fetch all your unread emails and summarize the important ones - Draft and Send reply emails Connect with Gmail, Calendar, Slack and more with Composio Frontend designed with Vercel v0 Use Deepseek and other LLMs with Groq Inc with AI SDK code:

Karan Vaidya

79,976 次观看 • 1 年前

Gemini Agent uses Gemini 3’s advanced reasoning to break up complex tasks into smaller steps. With your permission, it can connect to your apps like Gmail or Calendar or even browse the web for you, under your guidance. Here’s how it works ↓
1:01

Gemini Agent uses Gemini 3’s advanced reasoning to break up complex tasks into smaller steps. With your permission, it can connect to your apps like Gmail or Calendar or even browse the web for you, under your guidance. Here’s how it works ↓

Google Gemini

105,637 次观看 • 7 个月前

Someone just open-sourced the world's largest integration database for AI agents. - 47,000 agentic actions across 250+ apps - Connect to Slack, GitHub, Gmail, Stripe, Discord, Google Sheets and more - Every action is verified your agent never hallucinates API knowledge again - Deploy with a single CLI, connect once, use everywhere This is the integration layer agents have been missing. Built by Moe
2:05

Someone just open-sourced the world's largest integration database for AI agents. - 47,000 agentic actions across 250+ apps - Connect to Slack, GitHub, Gmail, Stripe, Discord, Google Sheets and more - Every action is verified your agent never hallucinates API knowledge again - Deploy with a single CLI, connect once, use everywhere This is the integration layer agents have been missing. Built by Moe

0xMarioNawfal

121,984 次观看 • 3 个月前

Don't waste your time building an Agentic Browser We built an chrome extension that does everything gpt atlas does and more - Can take actions and do things for you right in your own browser - Use 500+ tools like Gmail, Slack, Notion and more - Can be easily accessed in your sidebar Built with Composio Tool Router, Google AI Developers Gemini 2.5 Computer Use and AI SDK Completely free and open source link to the code:
1:17

Don't waste your time building an Agentic Browser We built an chrome extension that does everything gpt atlas does and more - Can take actions and do things for you right in your own browser - Use 500+ tools like Gmail, Slack, Notion and more - Can be easily accessed in your sidebar Built with Composio Tool Router, Google AI Developers Gemini 2.5 Computer Use and AI SDK Completely free and open source link to the code:

Karan Vaidya

73,051 次观看 • 8 个月前

📽️ Just created an agent that: 1⃣ Searches YouTube for recent popular videos that match a specified topic 2⃣Summarizes the videos 3⃣Drafts (or sends!) an email to me with the research summary. <2min to create using @ComposioHQ, Gemini 2.0, YouTube, @GMail, and LlamaIndex 🦙.
1:06

📽️ Just created an agent that: 1⃣ Searches YouTube for recent popular videos that match a specified topic 2⃣Summarizes the videos 3⃣Drafts (or sends!) an email to me with the research summary. <2min to create using @ComposioHQ, Gemini 2.0, YouTube, @GMail, and LlamaIndex 🦙.

👩‍💻 Paige Bailey

201,455 次观看 • 1 年前

Let's create an AI tour planner agent using LlamaIndex 🦙 workflows 🔥 GitHub: Stacks used: - LlamaIndex workflow for orchestration - SerpAPI for finding flights, hotels etc. Full tutorial 👇
2:30

Let's create an AI tour planner agent using LlamaIndex 🦙 workflows 🔥 GitHub: Stacks used: - LlamaIndex workflow for orchestration - SerpAPI for finding flights, hotels etc. Full tutorial 👇

Rohan

20,905 次观看 • 1 年前

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
1:48

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,563 次观看 • 9 个月前

Introducing A1Mail - Email for AI Agents! 📬🤖 TLDR: With A1Mail you can create an email address then send and receive mail from that address for your AI Agent - without paying $12 per month per Gmail or wrestling with integration issues
2:42

Introducing A1Mail - Email for AI Agents! 📬🤖 TLDR: With A1Mail you can create an email address then send and receive mail from that address for your AI Agent - without paying $12 per month per Gmail or wrestling with integration issues

Pasha Rayan

27,013 次观看 • 1 年前

I’m excited to kick off the first of our short courses focused on agents, starting with Building Agentic RAG with LlamaIndex, taught by Jerry Liu, CEO of LlamaIndex 🦙. This covers an important shift in RAG (retrieval augmented generation), in which rather than having the developer write explicit routines to retrieve information to feed into the LLM context, we instead build a RAG agent that that has access to tools for retrieving information. This lets the agent decide what information to fetch, and enables it to answer more complex questions using multi-step reasoning. In detail, you'll learn about: - Routing: Where your agent will use decision-making to route requests to multiple tools. - Tool Use: Where you'll create an interface for agents to select what tool (function call) to use as well as generate the right arguments. - Multi-step reasoning with tool use: Where you'll use an LLM to carry out multiple steps of reasoning, while retaining memory throughout the process. You’ll also learn how to step through what your agent is doing to debug and improve it iteratively. It’s an exciting time to build agents. Sign up and get started here!
2:06

I’m excited to kick off the first of our short courses focused on agents, starting with Building Agentic RAG with LlamaIndex, taught by Jerry Liu, CEO of LlamaIndex 🦙. This covers an important shift in RAG (retrieval augmented generation), in which rather than having the developer write explicit routines to retrieve information to feed into the LLM context, we instead build a RAG agent that that has access to tools for retrieving information. This lets the agent decide what information to fetch, and enables it to answer more complex questions using multi-step reasoning. In detail, you'll learn about: - Routing: Where your agent will use decision-making to route requests to multiple tools. - Tool Use: Where you'll create an interface for agents to select what tool (function call) to use as well as generate the right arguments. - Multi-step reasoning with tool use: Where you'll use an LLM to carry out multiple steps of reasoning, while retaining memory throughout the process. You’ll also learn how to step through what your agent is doing to debug and improve it iteratively. It’s an exciting time to build agents. Sign up and get started here!

Andrew Ng

297,053 次观看 • 2 年前

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓
0:41

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓

Karan Vaidya

1,159,888 次观看 • 2 个月前

⚡️ Get READY to supercharge your workflows with AI Automation, powered by GPT-4 Turbo. Connect Taskade AI with your favorite tools, from Slack and Gmail to Typeform and WordPress, and watch as everything gets orchestrated seamlessly. Reply with 'Automate' for early access! 🤖
0:29

⚡️ Get READY to supercharge your workflows with AI Automation, powered by GPT-4 Turbo. Connect Taskade AI with your favorite tools, from Slack and Gmail to Typeform and WordPress, and watch as everything gets orchestrated seamlessly. Reply with 'Automate' for early access! 🤖

Taskade

26,365 次观看 • 2 年前

Using Skills with the Claude Agent SDK How do you use skills to build agents? Here's an example demo I've built using one of our premade skills to make an excel demo agent.
1:27

Using Skills with the Claude Agent SDK How do you use skills to build agents? Here's an example demo I've built using one of our premade skills to make an excel demo agent.

Thariq

38,217 次观看 • 8 个月前

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:
2:47

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

Andrew Ng

218,284 次观看 • 2 年前

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
1:36

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

Shubham Saboo

42,269 次观看 • 1 年前