Agentic AI — a Quick and Practical Guide
Last Updated on January 6, 2026 by Editorial Team
Author(s): Jonty Haberfield
Originally published on Towards AI.
A hands-on tutorial to build your own multi-agent system with CrewAI, and an explanation of how Agentic AI actually works
Agentic AI firmly entered the hype cycle in 2025. Previously only entering popular conversation as a way for a machine to play Pokemon, major companies — both tech providers like Microsoft and tech consuming industries like retail and travel — are now placing significant bets on AI agents.
The article discusses how to create a multi-agent system using CrewAI while explaining the functioning of Agentic AI. It describes the roles of various AI agents, such as an Internal Performance Analyst, Pricing Analyst, and Qualitative Analyst, and their interaction to solve a problem related to hotel bookings. The author outlines the setup process, the tools used, and emphasizes the importance of prompt engineering to improve AI performance. The collaboration of these agents allows for a comprehensive approach to optimizing booking strategies and addressing market competitiveness.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
