Introduction  AI agents are sophisticated systems designed to perform tasks autonomously, often mimicking human decision-making processes. Let's explore their inner workings in a highly detailed yet straightforward manner. Step 1: Receiving Input Every AI agent begins its task with input data, which can come in various forms: Text commands : Written instructions provided by users or other systems. Sensory inputs : Data captured from sensors like cameras or microphones. Structured data : Information organized into databases or spreadsheets. Example: Schedule a meeting with John at 10 AM tomorrow. Step 2  Preprocessing and Understanding The agent must first preprocess and interpret this input: Tokenization : Breaking down sentences into meaningful units (tokens). Parsing : Analyzing grammatical structure to understand intent. Named Entity Recognition (NER) : Identifying and classifying key elements (e.g., dates, names). Example : Identifying "John" as a person, "10 AM...