Understand how long running AI Agents actually work —starting with the basics of agent behavior, how they use context, tools, memory, and decision loops, and why context engineering is essential for making them useful in real-world systems. The session will show where agents often break down, why context alone is not enough, and how skills provide the missing layer that makes agents more reliable, reusable, and production-ready.
Will show how a real agent is structured in practice and how skills help solve common problems in execution and consistency, ending with a live demo on top of it we can have QnA
Presenter: Anukool Chaturvedi
Anukool Chaturvedi is working as a Sr. Machine Learning Engineer at Avalara, he loves to explore, learn, and build solutions incorporating AI, recently he has been building distributed Multi Agent solutions for many use cases, experimenting with various frameworks like LangGraph, Google ADK, CrewAI etc. He also write technical blogs. In his free time, he loves reading books on biographies, businesses and history.
He can be reached at -
Linkedin: https://in.linkedin.com/in/anukool-chaturvedi
Note : The speakers' views are their own and do not represent Avalara. This session is intended for educational purposes only and does not constitute specific advice or endorsement from Avalara or its organiser ! Additionally This meet-up event does not include any Avalara specific contents.
