Have we finally figured out what an agent actually is?
The first generation of AI integrations were clever. They were also fragile, stateless, and held together with glue code that broke every time a provider sneezed. That wasn't a failure of ambition — it was a failure of architecture. And developers paid for it in production.
The industry spent three years collectively figuring out what an agent actually needs to be useful. Memory that survives a page refresh. Tools that touch real systems. Knowledge grounded in your data, not a model's best guess. The ability to decide, not just execute.
This session traces the full arc: where each generation came from, what problem it was solving, where it broke down, and what a mature agent architecture looks like today. You'll leave with an understanding of the agentic space — and a healthy skepticism for anyone who claims evolution is finished. History has no final commit.
Charvi Dhoot
