Agentic AI Guide: AI Agents and Their Types
Agentic AI refers to AI systems that run a task end-to-end on their own. This page is a central starting point for anyone learning the topic from scratch — written in plain, non-technical language by someone who actually manages 43 ad accounts using AI agents. If you don’t know where to start, just follow the order below.
1. What Is an AI Agent
The basic definition, how it differs from an assistant, the distinction from classic automation (RPA), and a real example. Read this →
2. What Is Agentic AI
The term “agentic AI,” how it differs from generative AI, and why you should watch out for the hype. Read this →
3. AI Agent vs Chatbot
The difference between “answering” and “doing the work,” a comparison table, and a guide to deciding which one you need. Read this →
4. Types of AI Agents
From reflex agents to autonomous agents — the 5 main types and which one fits which job. Read this →
5. What Is Claude AI, What Does It Cost
Anthropic’s Claude, its pricing, use in Turkey, and a comparison against ChatGPT. Read this →
6. What Is MCP — Through a Marketer’s Eyes
How AI agents connect to your ad/analytics accounts, and which platforms are read-only versus write-capable. Read this →
7. What Is Claude Skills, What Is It For
Reusable instruction packages that teach Claude how to do an entire job from start to finish. Read this →
8. How to Write a SKILL.md
A step-by-step guide to writing your own skill, with a full example — no coding required. Read this →
9. Prompt vs Skill vs Agent
A single diagram that separates the three concepts and shows when each one is enough. Read this →
10. Is It Safe to Give an AI Agent Account Access
Risk levels, the 5 rules of safe setup, and a clear framework with data-protection notes. Read this →
11. n8n vs Claude Code
The difference between a rule-based flow and a decision-making agent, and when to choose which. Read this →
12. AI Agent vs LLM
The difference between a model (the brain) and an agent (the system), and when an LLM becomes an agent. Read this →
13. MCP Server vs Zapier
The difference between a ready-made automation bridge and a key handed to an assistant. Read this →
14. What Is Multi-Agent
Multiple agents working together with divided roles — when it’s needed and when it’s overkill. Read this →
15. AI Agent vs Workflow
Is an n8n/Zapier flow really an agent? A clear one-question test. Read this →
16. Briefing an AI Agent: How to Write a Good Brief
A 4-part briefing framework built from context, task definition, constraints, and success criteria. Read this →
17. AI Assistant vs Agent
Are “assistant” and “agent” the same thing? A comparison table and the real risk of misusing the term. Read this →
18. AI Agent vs Automation (RPA)
RPA runs on fixed rules, an AI agent interprets context. Which one when, with a hybrid-setup example. Read this →
19. Claude or ChatGPT: A Business-Use Comparison
Code, writing, quality in Turkish, price, and enterprise setup — an honest look at which one stands out. Read this →
20. What Is Hallucination: Why AI Makes Things Up
Why AI confidently produces information that doesn’t exist, and how to catch it. Read this →
21. What Is a Token: How AI Usage Cost Is Calculated
What a token means, how cost is calculated, and why Turkish costs more than English — with a concrete example. Read this →
22. Claude Skills Marketplaces: Which Ones Are Worth Installing
How to evaluate third-party skill packages, what the risks are, and when you should write your own skill instead. Read this →
23. ChatGPT vs Claude vs Gemini: Which One for Which Job in 2026
A three-way comparison, with a particular focus on Gemini’s Google Workspace integration. Read this →
24. Context Window: Why AI Forgets
The maximum amount of text a model can process at once, explained with a simple analogy and practical fixes. Read this →
25. What Is RAG
The technology behind AI that answers from your documents — how it works, where it’s used, and its limits. Read this →
26. What Are Agentic AI Skills: Three Meanings, One Page
Claude Skills, agentic AI’s general capabilities, and the meta-skill set on resumes — three separate meanings clarified in one place. Read this →
27. Agentic AI Skills vs Tools vs MCP
Separates Skill, Tool, and MCP with a comparison table, showing when each one applies. Read this →
28. Claude Skills I Actually Use as a Consultant
Weekly reports, GA4 summaries, SEO tone-of-voice, and backup discipline — real Claude Skills examples. Read this →
29. How I Manage 43 Google Ads Accounts With Claude Skills
MCC access, automated reports, decisions that need human sign-off — the real workflow behind managing 43 accounts solo. Read this →
30. AI Agent vs Agentic AI vs Agent Skills
The hierarchy of the three terms in one diagram: the difference between an approach, a system, and a capability package. Read this →
31. Before You Put ‘Agentic AI Skills’ on Your Resume
Four concrete competencies that need to back up the buzzword: briefing, output review, tool knowledge, debugging. Read this →
32. My Agentic Stack: Claude Code + Skills + MCP
A tour of a one-person setup: four layers, a daily workflow, and honest limits of my real tool stack. Read this →
The Full Glossary
For more terms, see the Glossary of Autonomous AI Systems.
Frequently Asked Questions
Where should I start with agentic AI?
Follow the order above: first learn what an agent is, then the agentic AI concept, the chatbot difference, and agent types.
Will this guide stay up to date?
Yes, agentic AI is a fast-moving field; I review and update the pages regularly.
How do I apply this to my own business?
Every page ends with a “you can ask me to do this” section — work that typically takes 2 hours to 2 weeks, remote, billed hourly.