Tutorials ASP.NET Core with Agentic AI Tutorial

AI Workflow Platforms — Complete Guide

AI Workflow Platforms — 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 78 of 100

AI Workflow Platforms

AI basics ✓Agents

Agents · 2 — Build · ~10 min · Module 8: AI SaaS and Enterprise Systems

What is this?

AI workflow platforms let users design agent sequences visually or declaratively — triggers, branches, AI steps, approvals. AgentNest Workflow Studio exports JSON consumed by AutomationWorker.

Why should you care?

Business analysts model hospital intake paths without reading C# orchestrator code.

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.WorkflowStudio/WorkflowJson.cs
public sealed record WorkflowJson(string Name, WorkflowNode[] Nodes);
public sealed record WorkflowNode(string Id, string Type, string? Agent, string[]? Next);

// sample exported JSON deserialized at runtime
var flow = JsonSerializer.Deserialize<WorkflowJson>(json);
var runner = new JsonWorkflowRunner(sp);
await runner.ExecuteAsync(flow, payload, ct);

What happened?

  • WorkflowJson describes nodes and edges; JsonWorkflowRunner walks graph invoking named agents per node type.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Build Blazor Workflow Studio drag-drop MVP.
  2. Validate acyclic graph and required HumanReview nodes on write paths.
  3. Store published JSON in SQL with version column.
  4. Add conditional branch on lead score threshold.
  5. Import/export workflows between tenant sandboxes.

Remember

Workflow platform stores agent graphs as versioned JSON. JsonWorkflowRunner executes declarative flows safely. Validate graphs before publish; support dry-run.

Analyst-built intake flow

Hospital ops adjusts triage branch in Studio without dev ticket.

Outcome: Published JSON activates next day; audit records workflow version id.

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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