How to build AI Agents: A step by step guide to creating AI agents
summary
A three-agent travel planner is built and demoed: a destination analyst that web-scrapes flights and weather, a city guide that gathers attractions and prices, and an itinerary planner that composes day-by-day schedules and cost estimates. Code uses Crew/CreAI plus OpenAI or local LLMs, browser/search and calculator tools, and logs source URLs; outputs save to a file. The demo runs end-to-end but hits API/key and resource limits, loops on missing results, and shows usual hallucination and latency tradeoffs.
AI-written summary · about
chapters (8)
- 0:00AI agents tutorial
- 2:08Speaker overview
- 14:03LLMs, RAGs and AI agents
- 25:11AI agent frameworks
- 47:15Travel planner AI agent
- 1:06:49AI agent code demo
- 1:21:56AI agent limitations
- 1:27:14Conclusion
related talks
29mDemystifying AI Agents with Python Code
40mAI Agents in Practice
01h 04mAgentic AI: Build a Multi-Agent Application with CrewAI
01h 23mBuilding an AI Travel Agent That Never Hallucinates
26mAI Agents: How Do They Work and How to Build Them
02h 08mIntroduction to AI Agents
26mAI agents 101
31mHow to Build Autonomous AI Agents That Run Anywhere