Prompt-Chaining involves breaking down a complex task into smaller, sequential steps. Each step is addressed with its own prompt to the AI, with the result from one step serving as the foundation for the next (cf. ibm.com).

Why use Prompt-Chaining?

• Solve complex tasks 🧩: By breaking tasks into manageable steps, the AI can provide more precise and relevant results.
• Iterative refinement 🔄: A step-by-step approach allows for easier verification, continuous improvement, and adjustments of results.
• Clarity and focus 🎯: Each step has a clear goal, significantly reducing misunderstandings and misinformation.

How does Prompt-Chaining work?

1. Analyze the task 🕵️‍♀️: Define the overall goal and identify the individual steps required to achieve it.
2. Define steps 🗂️: Divide the main task into logical, sequential subtasks.
3. Create prompts ✍️: Formulate a specific prompt for each step to guide the AI.
4. Evaluate results 🧐: Check the AI’s responses after each step and adjust subsequent prompts if necessary.
5. Consolidation 🛠️: Combine the results of each step into a complete solution [optional].

Example of Prompt-Chaining Task: Write a blog post about the benefits of sustainable travel.

✅ Step 1: Create an outline Prompt: “Create an outline for a blog post about the benefits of sustainable travel.”
✅ Step 2: Write an introduction Prompt: “Write an introduction for a blog post about the ‘Benefits of Sustainable Travel,’ based on the following outline: [outline from step 1].”
✅ Step 3: Write a section on ecological benefits Prompt: “Write a section on the ecological benefits of sustainable travel for the blog post, following this outline: [outline from step 1].”
✅ Step 4: Describe social benefits Prompt: “Write a section on the social benefits of sustainable travel, based on the outline: [outline from step 1].”
✅ Step 5: Formulate a conclusion Prompt: “Write a conclusion for the blog post on the benefits of sustainable travel, considering the previous sections.”

Through this step-by-step approach, the AI can create targeted, structured content that is ultimately combined into a coherent and comprehensive blog post.

Conclusion

📌 Rule 1: Break complex tasks into smaller, logical steps.
📌 Rule 2: Formulate specific prompts for each step.
📌 Rule 3: Evaluate results after each step and adjust subsequent prompts as necessary.

By using Prompt-Chaining, you increase AI precision and can tackle even complex tasks effectively. Give it a try and feel free to share your experiences! 😊