Streamlining AI Pipelines with Workflows in LlamaIndex

What if our AI system could think in steps?

Imagine this scenario:
We’re building an AI system that helps users make better financial decisions.

A user enters:

“Give me a smart way to save money every month—and tell me if it's realistic based on average spending habits.”

This isn’t a simple question. It involves multiple tasks:

• Step 1: Generate a money-saving suggestion.

• Step 2: Evaluate whether the suggestion makes sense for a typical user.

To solve this, we need the AI to think in steps—not just answer, but reason, reflect, and respond in a structured sequence.

This is where workflows in LlamaIndex come in.

With workflows, we can design AI logic as a set of interconnected steps. Each step does one job—generate, evaluate, transform—and passes its result to the next. We don’t have to rely on the LLM to guess what comes next; we define it up front.

In this lesson, ...