Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & TechnologieBildung
LIVE

Anya Rossi• Live Now

Private livecam show

11 Kommentare

Profilbild von Animesh Srivastava
Animesh Srivastavavor 1 Jahr

Thats awesome! @IdeasDirectory

Profilbild von ash
ashvor 1 Jahr

What tool did you use to make this video?

Profilbild von TeslaElon SpaceXFan
TeslaElon SpaceXFanvor 1 Jahr

Grok 3 🔥❤️

Profilbild von PDF GPT
PDF GPTvor 1 Jahr

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.

Profilbild von Dr.Yev🔥
Dr.Yev🔥vor 1 Jahr

that was smooth! nice one

Profilbild von Vito
Vitovor 1 Jahr

did you test coding claude vs grok 3?

Profilbild von Rohit Ghumare | That #DevOps Guy✍️
Rohit Ghumare | That #DevOps Guy✍️vor 1 Jahr

Smooooth.

Profilbild von Limitless
Limitlessvor 1 Jahr

Insane GG

Profilbild von Ọ̀LÁTUNDÉ
Ọ̀LÁTUNDÉvor 1 Jahr

Neat

Profilbild von Tejas Rane
Tejas Ranevor 1 Jahr

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

Profilbild von Karan Vaidya
Karan Vaidyavor 1 Jahr

It’s a developer tool. So…

Ähnliche Videos

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 7 Monaten

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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 8 Monaten

📽️ 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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 9 Monaten

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 2 Monaten

⚡️ 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 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 8 Monaten

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 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 1 Jahr