Learn about THE NEXT BIG AI WAVE, Agentic AI Basics

In today’s video, we break down one of the most talked-about concepts in modern AI: Agentic AI.
If you’ve heard the term but aren’t totally sure how it differs from normal LLM chatbots or workflow automation tools, this is the perfect explainer.

We cover:

🔍 What Agentic AI Really Means

Learn what makes an AI “agentic”—its ability to plan, take actions, adapt, and pursue objectives autonomously rather than simply respond to prompts.

🤖 Agentic AI vs. Traditional LLMs

We explain how standard language models are reactive, while agentic systems are proactive:

LLMs → answer questions

Agentic AIs → decide what to do next, gather information, execute tasks, and evaluate their own progress

⚙️ Agentic AI vs. Workflow Automation Platforms

See how agentic systems differ from no-code automations like Zapier, Make, or n8n:

Automations follow rigid rules

Agentic AIs adjust on the fly, handle exceptions, and make decisions based on context—not predefined steps

🧠 Types of Agentic Systems

We also explore common categories of agentic AIs and how they’re used today, including:

Reasoning Agents (plan, break down problems, reflect)

Retrieval Agents (search, gather, validate information)

Action Agents (take steps across tools, APIs, and apps)

Multi-Agent Systems (teams of specialized AIs working together)

Autonomous Business Agents (manage operations, sales, support, scheduling, etc.)

Links:

Tags: #AgenticAI
#AIAgents
#ArtificialIntelligence
#AIAutomation
#FutureOfAI