Tutorials ASP.NET Core with Agentic AI Tutorial

AI System Design — Complete Guide

AI System Design — 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.

8 min read Updated 8/2/2026

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ASP.NET Core with Agentic AI Tutorial · Lesson 81 of 100

AI System Design

AI basics ✓ → Agents

Agents · 2 — Build · ~10 min · Module 9: AI System Design and Architecture

What is this?

AI system design architects how users, APIs, agents, data, and models interact at scale. AgentNest design docs cover CRM copilot read paths, async workers, and failure modes before coding.

Why should you care?

Skipping design leads to CRM agents that block HTTP threads on 30-second RAG chains — rework costs more than diagrams upfront.

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 CRM Copilot — C4 container (ASCII)

[Browser] --> [AgentNest.Api]
                 |-> [Redis thread memory]
                 |-> [Postgres CRM + pgvector]
                 |-> [Azure OpenAI]
                 |-> [Service Bus] --> [LeadAutomationWorker]
*/

What happened?

The container diagram shows sync API paths versus async queue workers — key split for responsive CRM UI.
Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

Draft C4 context and container diagrams for your module.
List SLAs, data classes, and external dependencies.
Review design with security before sprint commitment.
Add sequence diagram for RAG ask including cache miss path.
Document fallback when Azure OpenAI unavailable.

Remember

Design AgentNest features with containers, queues, and stores. Separate sync user paths from async heavy AI work. Review security and SLA before implementation.