Tutorials Agentic AI with .NET Tutorial

AI Agents vs Chatbots

AI Agents vs Chatbots: free step-by-step lesson with examples, common mistakes, and interview tips — part of Agentic AI with .NET Tutorial on Toolliyo Academy.

On this page

Agentic AI with .NET Tutorial · Lesson 2 of 120

AI Agents vs Chatbots

Foundations & SKTools & RAGProduct & OpsProjects

Foundations & SK · 1 — Agent basics · ~6 min · Agentic Foundations

What is this?

A chatbot maps user text to a reply. An agent can call tools, keep state, and continue until a success condition is met.

Why should you care?

If you only need FAQ answers, a chatbot is enough. If you need “check inventory then create a draft PO”, you need an agent.

See it live — copy this example

Use .NET 8+. Run Semantic Kernel samples in a console or Web API. Keep API keys in user secrets or environment variables — never in source.

public interface IAgentStep
{
    Task<AgentObservation> ActAsync(AgentState state, CancellationToken ct);
}

// Chatbot: one CompleteAsync(prompt)
// Agent: while (!state.Done) await step.ActAsync(state, ct);

What happened?

  • IAgentStep is a tiny contract for one action.
  • The loop is what makes behavior agentic.

Practice next

  1. Draw chatbot vs agent on paper.
  2. build a fake step that only logs.
  3. Add a Done flag after 2 steps.
  4. Add a timeout CancellationToken.
  5. Return a user-visible progress message each step.

Remember

Chat = one shot; agent = loop. State carries memory and tool results. Stop conditions prevent runaway cost.

Order status helper

User asks “where is my order?”

Outcome: Agent calls Orders API; chatbot would only guess.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of Agentic AI with .NET.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using Agentic AI with .NET?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a Agentic AI with .NET application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
Mid Detailed
Compare two approaches to Ethics—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Ethics in…
Junior Detailed
Describe a real-world scenario where Production mattered in a Agentic AI with .NET project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
Questions on this lesson 0

Sign in to ask a question or upvote helpful answers.

No questions yet — be the first to ask!

Agentic AI with .NET Tutorial
Course syllabus

Agentic AI with .NET Tutorial

Agentic Foundations
Semantic Kernel
.NET AI Wiring
Framework Choices
RAG & Memory
Tools & Automation
Multi-Agent Patterns
ASP.NET Core Integration
Security & Governance
Cloud & Operations
Advanced Agent Behavior
Capstone Projects
Toolliyo Assistant
Ask about tutorials, ebooks, training, pricing, mentor services, and support. I use public site content only—not admin or internal tools.

care@toolliyo.com

Need callback? Share your details