Agentic AI with .NET Tutorial
Lesson 6 of 9 67% of course

Multi-Step Plans with SK

1 · 5 min · 5/23/2026

Learn Multi-Step Plans with SK in our free Agentic AI with .NET Tutorial series. Step-by-step explanations, examples, and interview tips on Toolliyo Academy.

Sign in to track progress and bookmarks.

Multi-Step Plans with SK — Agentic AI with .NET Tutorial
Advanced track — Semantic Kernel

Advanced Multi-Step Plans with SK in Agentic AI with .NET Tutorial. Deep dive with production-oriented examples—not a shallow overview.

Architecture & mental model

This lesson covers Multi-Step Plans with SK at an intermediate-to-advanced level within .NET Implementation. You will connect Semantic Kernel concepts to production constraints: performance, security, testability, and operability.

Advanced learners should already know syntax basics; here we focus on why teams choose specific patterns and how they fail in real systems.

Implementation (production-style)

Type the code below; change names and types to match your domain. Compare with how Semantic Kernel teams structure layers in mature codebases.

// Multi-Step Plans with SK — Agentic AI with .NET Tutorial
public sealed class MultiStepPlanswithSK
{
    private readonly ILogger _log;

    public MultiStepPlanswithSK(ILogger log)
        => _log = log;

    public async Task ExecuteAsync(CancellationToken ct = default)
    {
        _log.LogInformation("Applying concept: Multi-Step Plans with SK");
        await Task.CompletedTask;
    }
}

Decision checklist

  • Requirements: What are latency, consistency, and security needs for "Multi-Step Plans with SK"?
  • Boundaries: Which layer owns this logic (UI, API, domain, infrastructure)?
  • Failure modes: What happens when dependencies time out or return partial data?
  • Observability: What logs or metrics prove this feature works in production?

Hands-on lab (45–60 min)

  1. Reproduce the primary example for "Multi-Step Plans with SK" in a scratch project using Semantic Kernel.
  2. Add one automated test (unit or integration) that would fail if you break the core behavior.
  3. Introduce a deliberate bug (wrong lifetime, missing await, wrong dependency order) and observe the symptom.
  4. Document one trade-off you would present in a design review.

Pitfalls senior engineers avoid

  • Treating tutorial demos as production architecture without hardening.
  • Skipping observability (logs, metrics, traces) when adding complexity.
  • Optimizing before measuring bottlenecks.
  • Ignoring team conventions and existing codebase patterns.

Interview depth

Question: Explain Multi-Step Plans with SK to a junior developer in 2 minutes, then list two trade-offs.

Strong answer: Start with the problem it solves, describe one real project usage, mention a failure you debugged or would test for, and close with alternatives (when not to use this approach).

Next level

Pair this lesson with official docs for Semantic Kernel, then read source or decompile one framework call path involved in "Multi-Step Plans with SK". Advanced mastery comes from combining reading, debugging, and shipping.

Summary

You completed an advanced treatment of Multi-Step Plans with SK. Revisit after building a feature that uses it end-to-end; spaced repetition with real code beats re-reading alone.

Test your knowledge

Quizzes linked to this course—pass to earn certificates.

Browse all quizzes
Agentic AI with .NET Tutorial

On this page

Architecture & mental model Implementation (production-style) Decision checklist Hands-on lab (45–60 min) Pitfalls senior engineers avoid Interview depth Summary
Agentic Concepts
From Chatbots to Agents Tools, Plugins, and Function Calling Planning and ReAct Loops
.NET Implementation
Semantic Kernel Setup Create Plugins for Your Domain Multi-Step Plans with SK Persist Agent State
Reliability
Evaluation and Regression Tests Agentic AI Interview Questions