Building a Multi-Platform AI Content Generator using LangGraph,LangChain (Instagram, LinkedIn, Blog) скачать в хорошем качестве

Building a Multi-Platform AI Content Generator using LangGraph,LangChain (Instagram, LinkedIn, Blog)

In this video, I demonstrate an end-to-end AI content generation system built using LangGraph and LangChain. This project takes a single input text and automatically generates platform-specific content for Instagram, LinkedIn, and Blogs using a multi-step, conditional AI workflow. 🔹 What this project covers: LangGraph stateful AI workflows Multi-node pipeline: Summarization → Research → Content Generation Conditional routing based on platform selection Platform-optimized prompts for Instagram, LinkedIn, and Blogs Using TypedDict schemas for structured state management Model separation for summarization, research, and content creation Reducing hallucination through structured prompt design 🔹 Technologies Used: LangGraph LangChain OpenAI / OpenRouter LLMs Python Prompt Engineering Generative AI This project is ideal for: Generative AI interviews AI portfolio projects Content automation systems Learning LangGraph with real-world use cases If you’re preparing for Generative AI, LLM, or LangGraph interviews, this video will help you understand how to design scalable, production-ready AI pipelines. 📌 Like, Share, and Subscribe for more AI & GenAI project walkthroughs.