Grok Bot Tutorial: Build AI Agents That Actually Get Work Done

What if an AI agent could browse the web, use a cloud computer, run terminal commands, connect to GitHub, and actually complete tasks for you? In this hands-on Grok Bot tutorial, we build an agent from scratch, connect it to GitHub, test it on a real application, and see what happens when the agent gets things wrong. You'll learn: - How Grok Bot works - Skills, Routines, and Plugins explained - How to build a bug investigation agent - How to securely connect GitHub - How to scope agent permissions - How multiple agents can collaborate - How agents can share files - What can go wrong with AI agents - Best practices for building reliable agent workflows We also use the agent to investigate a real application and uncover several issues, including an XSS vulnerability. The biggest takeaway? Start small. Give your agent a narrow task, a clear spec, and an approval step before letting it take action. Timestamps: 00:00 What is Grok Bot? 00:35 Skills, Routines & Plugins 01:05 Building the Bug-Repro Agent 01:45 Connecting GitHub & Setting Permissions 02:25 Testing the Agent 03:10 Finding Real Bugs 04:15 Multi-Agent Collaboration 05:05 How Agents Share Files 05:35 Lessons Learned 06:20 Final Takeaways If you found this useful, subscribe to Analytics Vidhya and comment below: What task would you hand off to an AI agent? #GrokBot #AIAgents #xAI #AgenticAI #AI #Automation #GitHub #AIEngineering #AITutorial