Conditional Prompt Chain — Branching AI Workflows

I will build a conditional prompt chain — where intermediate LLM outputs determine which branch of the workflow executes next, enabling dynamic routing based on content classification, sentiment, intent, or any other LLM-assessed characteristic of the input or intermediate output. Conditional prompt chains are more powerful than sequential chains for tasks where different input types require fundamentally different processing paths — a customer service chain that routes complaints through an empathetic response path and technical queries through a knowledge-base retrieval path produces better outputs for both than a single chain that applies the same processing regardless of query type.

The chain covers a classification or routing step determining the execution branch, branch-specific prompt sequences, branch result normalisation for consistent downstream processing, and edge case handling when classification confidence is low.