Agentic AI is being marketed as the next leap in intelligence. In reality, most “agents” today are nothing more than: A language model inside a while-loop with tool access. We call that autonomy. It isn’t. If you strip away the branding, what remains is a probabilistic planner issuing instructions in a loosely controlled environment. The […]
We are entering an era where software no longer waits to be called. It observes, decides, and acts. This shift is often described with a single word—agentic. But most discussions around agentic AI confuse motion with intent, and autonomy with understanding. As a result, we risk building systems that feel powerful while remaining fundamentally shallow. Agentic AI is not a breakthrough
Generic rule engines usually don’t start as a bad idea.They start as a reasonable reaction to repeated pain. Too many conditionals.Too many releases for small logic changes.Too many “just change this one if-condition” requests. So someone proposes a rule engine. And slowly, quietly, the system rots. The Real Motivation (Not the Stated One) Teams say they want: