Tutorials ASP.NET Core with Agentic AI Tutorial

AI Agents — Complete Guide

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

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ASP.NET Core with Agentic AI Tutorial · Lesson 5 of 100

AI Agents

AI basicsAgents

AI basics · 1 — Setup · ~6 min · Module 1: AI and Agentic AI Foundations

What is this?

An AI agent is a program that uses an LLM plus memory, tools, and policies to pursue a goal. In AgentNest, agents wrap Semantic Kernel plugins for CRM updates, hospital lookups, and ERP queries. They are services you register in DI, not chat windows alone.

Why should you care?

Product teams ship one agent per domain — CrmCopilotAgent, HospitalAssistantAgent — so permissions and telemetry stay isolated.

See it live — copy this example

Paste into an ASP.NET Core 8+ / AgentNest project, then run with dotnet run (set your API keys in user-secrets).

// AgentNest.Agents/Crm/CrmCopilotAgent.cs
public sealed class CrmCopilotAgent(IChatClient chat, CrmPlugin crm)
{
    public async Task<string> SummarizeAccountAsync(Guid accountId, CancellationToken ct)
    {
        var facts = await crm.GetAccountFactsAsync(accountId, ct);
        var response = await chat.GetResponseAsync(
            [$"Summarize this CRM account in 3 bullets:\n{facts}"], cancellationToken: ct);
        return response.Text;
    }
}

What happened?

  • CrmCopilotAgent injects IChatClient and CrmPlugin.
  • It fetches grounded facts first, then asks the model to summarize — the agent boundary is the class, not the raw API call.

Practice next

  1. Define ICrmCopilotAgent and register CrmCopilotAgent as scoped.
  2. build CrmPlugin with read-only CRM repository calls.
  3. Add a CrmController endpoint that calls SummarizeAccountAsync.
  4. Return a typed AccountSummary DTO instead of raw string.
  5. Add IMemoryCache for account facts with a 60-second TTL.

Remember

Agents are DI services combining models, tools, and policy. Ground agents with repository facts before generation. One agent class per domain simplifies AgentNest security reviews.

CRM account briefings

Account executives open AgentNest before calls and need a 10-second brief.

Outcome: CrmCopilotAgent serves grounded summaries with CRM audit IDs attached.

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 ASP.NET Core with Agentic AI.
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 ASP.NET Core with Agentic AI?
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 ASP.NET Core with Agentic AI 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…
Junior Detailed
Describe a real-world scenario where Production mattered in a ASP.NET Core with Agentic AI 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…
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ASP.NET Core with Agentic AI Tutorial
Course syllabus

ASP.NET Core with Agentic AI Tutorial

Module 1: AI and Agentic AI Foundations
Module 2: ASP.NET Core AI Fundamentals
Module 3: Semantic Kernel
Module 4: AI Agents and Multi-Agent Systems
Module 5: RAG and Vector Databases
Module 6: AI Security and Observability
Module 7: Cloud-Native AI and DevOps
Module 8: AI SaaS and Enterprise Systems
Module 9: AI System Design and Architecture
Module 10: Enterprise AI Projects
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