What is Prompt Chaining? — Plain-Language AI Definition

What is Prompt Chaining?

Prompt chaining means linking multiple prompts together so the output of one step becomes the input for the next. It is a way to handle complex work by breaking it into manageable stages.

Instead of asking for everything at once, you separate tasks.

Why It Matters

Large, complicated prompts often produce messy results. Chaining improves quality because each step has one job.

Typical chains look like:

1. extract the important facts
2. organize them into categories
3. generate the final output

Example

For a research workflow:

• Prompt 1: summarize each source
• Prompt 2: compare agreements and disagreements
• Prompt 3: draft an executive brief

Each stage is easier to inspect and fix.

Benefits

• clearer reasoning
• easier debugging
• better control over format
• more predictable outputs

Common Mistakes

The biggest mistake is chaining too many weak steps. If the first step is wrong, later steps inherit the error. Strong chains include validation points between stages.

Key Takeaway

Prompt chaining is often the most practical bridge between a single prompt and a full agent system.