Build an AI agent in 15 min
summary
Claims a working AI agent is assembled in ~15 minutes using Langchain.rb to orchestrate six services (CRM, inventory, payments, orders, shipping, email). Demo runs end-to-end: finds or creates customer in SQLite, looks up SKU, charges card, creates order, generates a FedEx shipping label, and sends confirmation email, all via function calling JSON tool signatures; agent uses chain-of-thought prompts, memory/RAG patterns, and live tool execution and succeeds in the demo.
AI-written summary · about
chapters (12)
- 0:00Building AI agents intro
- 2:40Generative AI today
- 5:59AI agents vs assistants
- 7:01Reasoning and chain of thought
- 9:39Role play and environment
- 10:22Tool and function calling
- 14:02Memory and retrieval augmented generation
- 15:52AI agent reliability challenges
- 18:06Future of AI agent architectures
- 19:32ChRb library
- 20:57Live AI agent demo
- 27:15Why use AI agents
related talks
43mBuilding AI agents in Ruby
01h 04mBuilding LLM powered applications in Ruby
26mAI Agents: How Do They Work and How to Build Them
52mCut the Hype and Build Your Own AI Agents
31mBuild an AI Agent in 30 Minutes 🔥 OpenAI Agent Builder
35mShipping with Confidence in the Age of AI
08mRuby startup demo – Zach Kamran
22mBuilding AI-Powered Business Autopilots