Tutorials Agentic AI with .NET Tutorial
Introduction to Agentic AI
Introduction to Agentic AI: free step-by-step lesson with examples, common mistakes, and interview tips — part of Agentic AI with .NET Tutorial on Toolliyo Academy.
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Agentic AI with .NET Tutorial · Lesson 1 of 120
Introduction to Agentic AI
Foundations & SK → Tools & RAG → Product & Ops → Projects
Foundations & SK · 1 — Agent basics · ~6 min · Agentic Foundations
What is this?
Agentic AI means software that can take a goal, decide next steps, call tools, and loop until the job is done (or it asks a human). It is more than a single chat reply.
Why should you care?
Product teams want assistants that book tickets, query orders, and update CRM — not only paragraph generators. .NET shops need a clear agent model on ASP.NET Core.
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.
// Agent loop (mental model)
// goal -> plan -> choose tool -> observe result -> update memory -> repeat
Console.WriteLine("AgentVerse: start with a goal, not a single prompt.");What happened?
- Chatbots answer once.
- Agents iterate.
- Tools are how agents touch real systems (HTTP, DB, files) under your rules.
Practice next
- Write one business goal for your agent app (example: summarize open tickets).
- List two tools it would need.
- Mark which steps need human approval.
- Add a third tool idea.
- Decide a max-steps limit (e.g. 8).
Remember
Agents loop: plan → act → observe. Tools connect to real systems. Human gates matter for risky actions.
Support desk goal
Draft a reply and fetch order status before sending.
Outcome: You can explain agent vs chatbot in one minute.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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