Build an AI task planner with Semantic Kernel in C# using KernelFunctionFactory, Kernel.InvokeAsync, KernelArguments, and structured JSON pipelines.

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A step-by-step guide to building an AI task planner using Semantic Kernel in C# with a sequential three-step pipeline. Covers using KernelFunctionFactory.CreateFromPrompt() for inline prompt authoring, Kernel.InvokeAsync() for direct function invocation, and KernelArguments to pass typed context between steps. Explains when to choose a sequential pipeline over an agent-based approach, how to enforce JSON output with ResponseFormat = "json_object", and how to disable auto tool-calling with FunctionChoiceBehavior.None(). Includes full project structure, code samples, and a runnable example that produces a prioritized task plan with effort estimates.

Build an AI Task Planner with Semantic Kernel in C#

Why a Sequential Pipeline Instead of an Agent?

Defining Prompt Functions Inline with KernelFunctionFactory

Invoking Functions with Kernel.InvokeAsync and KernelArguments

Sequential Pipelines vs Agents -- Which Should You Choose?