This AI Agent Plans, Researches & Writes Blogs Automatically using LangGraph | Agentic AI Project
In this video, we build a real AI agent using LangGraph, going beyond simple prompts to design a planning-based, production-style agent system that plans before execution, decides when internet research is required, breaks tasks into parallel subtasks, uses multiple worker agents, adds citations and images automatically, and generates a complete blog end-to-end; you’ll learn how modern AI agents are actually designed using the orchestrator–worker architecture, along with key concepts like router, planner, worker, and reducer nodes, research-powered agents with Tavily, image-aware content gener…
Watch on YouTube ↗
(saves to browser)
Chapters (14)
Introduction & What We’re Building
2:10
What Is a Planning AI Agent (vs Direct Execution)
6:30
Demo: AI Blog Writing Agent in Action
11:00
High-Level Agent Architecture Overview
15:30
Orchestrator–Worker Pattern Explained
20:45
Building the Basic Blog Writing Agent (Stage 1)
32:00
Improving Output with Better Planning & Prompts
36:30
Adding Internet Research with Router & Tavily (Stage 2)
49:50
Research-Aware Planning & Worker Execution
59:40
Adding Automatic Image Generation (Stage 3)
1:14:20
Reducer Logic: Merging Content & Placing Images
1:16:20
Final Blog Output with Images
1:16:30
Building the Streamlit UI (Stage 4)
1:18:40
Project Wrap-up & Portfolio Advice
DeepCamp AI