How to use LangGraph to Orchestrate Multiple AI Agents

Description

Learn how to use LangGraph and build a Product Launch Assistant with Orchestrated AI agents. I walk through the workflow using LangGraph (5 specialised agents: market research, product description, pricing, launch plan, marketing content), a simple React frontend, and deployment on DigitalOcean’s App Platform. See how the agents use langchain-gradient for serverless inferencing, hand off tasks and generate a full launch plan. What’s covered: 1. Orchestrating AI agents with LangGraph 2. Code walkthrough of the repository 3. Deploying frontend + backend on DigitalOcean App Platform 4. Ways to extend the solution GitHub Repo: https://github.com/digitalocean-labs/product-launch-assistant?utm_source=youtube&utm_medium=organic_video&utm_campaign=digitalocean&utm_content=NqQoeAhIKes 0:00 - Intro 0:24 - GitHub repo 1:06 - Deploy app on DigitalOcean App Platform 2:07 - Explore the application 4:32 - Code Walkthrough 7:42 - Extending solution 🚀 Join the Developer Cloud: https://cloud.digitalocean.com/registrations/new?refcode= 200YTDO&utm_source=youtube&utm_medium=organic_video&utm_campaign=digitalocean&utm_content=NqQoeAhIKes // STAY CONNECTED 🌏 Follow our blog for the latest updates: https://www.digitalocean.com/blog 🦈 Join our Developer Community on Discord: https://discord.com/invite/digitalocean 🐥 Follow us on X/Twitter: https://x.com/digitalocean 👩‍💻 We're Hiring! See open roles: http://grnh.se/aicoph1