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Prompt Chaining in AI Workflow

Controlling the LLM workflow outputs

Author

anita okoh
January 08, 2025

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AI is not here to replace human intelligence; it's here to amplify it, turning our ideas into actions and our dreams into possibilities.

If you regularly use services like ChatGPT, you’ve probably realized that asking for everything at once often leads to mediocre results. One way to solve this is by breaking down task prompts into smaller sub-prompts. This technique, known as prompt chaining, is one of my favorite AI engineering workflows for a good reason.

Prompt chaining is a technique used to solve complex tasks by breaking them into smaller, manageable steps. It involves creating a sequence of prompts, where the output of one prompt serves as the input or context for the next

How Prompt Chaining Works

  1. Decompose the Task
    Divide a complex problem into multiple logical sub-tasks.

  2. Generate Intermediate Outputs
    Each sub-task is handled by a dedicated prompt. The model's output at this stage is stored for use in the next step.

  3. Feed Outputs Sequentially
    Use the result of one prompt as part of the input for the next. The process continues until all steps are complete.

Why Prompt Chaining Works

This structured approach ensures:

  • Better Organization: Clear stages make complex tasks more manageable.

  • Improved Accuracy: Focused steps lead to more precise responses.

  • Iterative Refinement: Easy to adjust individual steps or debug without redoing the entire process.

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Prompt chaining is like guiding a flashlight through a dark tunnel—step by step, it illuminates the path to clarity, precision, and actionable results.

Some Use Cases

  • Content Creation Workflow: Break down writing tasks into brainstorming, drafting, and editing stages.

  • Data Processing Workflow: Extract, analyze, and visualize data step-by-step.

  • Learning Workflow: Access knowledge level, create study material, generate quiz

Prompt chaining is a simple but powerful technique that can elevate the quality and clarity of your AI-driven workflows

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