Prompt Engineering - Decomposition and Linear Pipelines

A single prompt fails for big tasks because it mixes many tasks together and loses structure. "Explain Python, create a quiz, and generate a PPT" is too much for one prompt — the output becomes messy.

The fix is prompt chaining: break the big task into small connected prompts where the output of one becomes the input of the next.

The chai-shop example:

• Correct order: boil water → add tea powder → add milk → add sugar → serve.
• Done randomly → bad tea.

AI works the same way — the order and the steps decide the quality.

Each step has a clear job and a clear output:

• Step 1 → produces the explanation.
• Step 2 → uses it to produce a summary.
• Step 3 → uses the summary to produce a quiz.

Clean and controllable.

Decomposition means breaking a big task into small, clear steps in the correct order. Use the framework Input → Process → Output:

• Each step receives an input.
• Does one process.
• Produces one useful output.

The market example:

• "Go bring groceries" → confusion.
• Making a list, checking the budget, buying the items, and verifying → a clear process.

Break the task, define each step's output, and connect the outputs.

A linear pipeline is a step-by-step workflow where each step depends on the previous step — straight-line execution.

• Step 1 output → Step 2 input.
• Step 2 output → Step 3 input.
• Travel example: book ticket → pack bag → reach station → board train — you cannot skip the order.

Format locking means keeping the same structure across all steps:

• If Step 1 gives output as headings and bullets, Step 2 must receive and produce the same structure.
• Consistency between steps is what keeps a pipeline stable.

Notice each step tells AI exactly what format to produce — that stops the pipeline from drifting into a different structure halfway.

• Study assistant — chapter → notes → summary → quiz.
• Resume tools — resume → improve → rewrite → interview questions.
• Report generation — data → analysis → summary → final report.
• Content creation — idea → draft → polish → publish.
• Business workflows — any big task broken into reliable steps.