AI Agentic System Design - Part 1 (AI Models vs AI Agents and Key Components in AI Agents)

Описание: AI agents are everywhere — but most explanations jump straight into tools and frameworks without building the right foundation.

This video is Part 1 of the AI Agentic System Design series, where we start from first principles and build a clear mental model for how agent-based AI systems actually work.

In this episode, we focus on the most important distinction:

AI Models vs AI Agents

and break down the three core components of every AI agent:

Model – the reasoning engine

Tools – how agents interact with the real world

Instructions – the rules that guide agent behavior

All concepts are explained using simple examples and Excalidraw-style diagrams, with a strong focus on system design thinking rather than hype.

What this video covers (Part 1):

What an AI model is — and what it is not

Why models alone cannot execute real-world tasks

What turns a model into an AI agent

The three core components of AI agents:

Models

Tools

Instructions

A real-world task walkthrough to tie everything together

About the AI Agentic System Design Series

This series is designed for:

Backend engineers

Software engineers

Data engineers

Anyone transitioning into AI engineering

Across the series, we’ll cover:

Single-agent vs multi-agent systems

Planner–Executor architectures

Tool-using agents

Memory and state management

Real-world agent design patterns

When not to use agents