We’re moving past chatbots and into something way more powerful: AI systems that can plan, decide, and execute tasks end-to-end. Generative AI ==> AI Agents https://youtu.be/mUlFnvdoOf8 Here’s what this session breaks down (in plain English): • What AI Agents actually are (no buzzwords) • How they’re different from “regular” Generative AI • The key pieces behind them: LLMs, memory, planning, tools • How they work step-by-step: Perceive → Reason → Plan → Act → Improve • Real-world business use cases • Why companies are starting to take them seriously We also walk through practical examples like: • Automating customer support workflows • Booking travel via APIs • Streamlining software deployments • Handling multi-step tasks across different tools If you’ve been hearing about AI but it still feels abstract, this is where it starts to click. The shift is simple: Generative AI = answers AI Agents = outcomes If you want to understand where things are heading (and why it matters), this is worth your time. 👉 Stick till the end — the real examples are where it gets interesting. submitted by /u/capizzaboy
Originally posted by u/capizzaboy on r/ArtificialInteligence
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