4) Chain Prompts

Divide complex tasks into smaller, manageable steps for better results. If you write 3-4 tasks in one prompt without any structure, LLMs might overlook one or more tasks or fail to execute them well. This is connected to the concept of Chain-of-Thought prompting.

By breaking down the tasks, you provide a clear structure that guides LLMs through each step, ensuring comprehensive and high-quality outcomes.

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Breaking down in one prompt:

You can ask the AI model to break down a task and following the instructions step by step.

Example:
Search the attached documents for information about office guidelines in our Berlin office.
Then, list relevant items as bullet points and sort them by importance.
Afterwards, write a piece of concise information to post on our company's Slack channel to remind everyone about the 10 most important things to remember.

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Breaking down in several prompts:

If a complex instruction does not work by dividing it into several steps in one prompt, try to divide this instruction into several prompts.

Example:

Prompt 1:
Please search for our office guidelines in the Berlin office in the attached document.

Response: …

Prompt 2:
Sort the guidelines by importance. Explain your reasoning.

Response: …

Prompt 3:
Write a Slack Post explaining the 10 most important guidelines.

Response: …