Tutorials ASP.NET Core with Agentic AI Tutorial

Future of AI Agents — Complete Guide

Future of 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 10 of 100

Future of AI Agents

AI basicsAgents

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

What is this?

Agent ecosystems are moving toward longer autonomy, richer tool standards, and tighter governance. AgentNest prepares by versioning agent contracts, eval harnesses, and human-in-the-loop checkpoints so upgrades do not break CRM or hospital flows.

Why should you care?

Roadmaps include cross-agent delegation and federated memory; stable interfaces today prevent rewrites when models or protocols change tomorrow.

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.Contracts/IAgentCapability.cs
public interface IAgentCapability
{
    string Name { get; }
    string Version { get; }
    Task<AgentResult> ExecuteAsync(AgentRequest request, CancellationToken ct);
}

public sealed record AgentRequest(string TenantId, string Intent, IReadOnlyDictionary<string, string> Args);

What happened?

  • Versioned IAgentCapability lets AgentNest register v1 and v2 hospital agents side by side.
  • Controllers depend on the interface, not a specific model prompt.

Practice next

  1. Define AgentRequest/AgentResult records shared across agent projects.
  2. Tag each agent with Name and SemVer Version in DI registration.
  3. Build a contract test that runs golden intents against ExecuteAsync.
  4. Add CapabilityMetadata with SupportedIntents[] for discovery endpoints.
  5. Route 10% traffic to Version 2 via feature flags.

Remember

Versioned agent interfaces insulate AgentNest from model churn. Golden intent tests catch regressions before tenant rollout. Human approval remains mandatory for high-risk domains.

Agent upgrade window

New model families arrive mid-contract; tenants refuse downtime.

Outcome: IAgentCapability v2 rolls out behind flags while v1 serves ERP close week.

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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