What Is Agentic AI, and Why Does It Matter?
Imagine a world where artificial intelligence doesn’t just answer questions but thinks, plans, and iterates like a human.
A world where AI doesn’t just deliver the first draft of an essay but refines it through feedback loops.
This, my friend, is the world of “Agentic AI”, and according to Andrew Ng, one of the leading minds in artificial intelligence, this is the future.
Andrew Ng introduced the concept of agentic workflows during a keynote for Snowflake, sparking a wave of curiosity among developers and businesses alike.
But what makes agentic AI so revolutionary?
Let’s explore the four major reasoning tactics shaping the future of intelligent systems.
1. Reflection: The Art of Iterative Improvement
When we write, we rarely get it perfect on the first try.
We draft, review, revise, and tinker.
This is exactly how reflection in agentic AI works.
A model doesn’t stop at generating a response; it critiques its own output, identifies flaws, and…
