Skip to main content
All CollectionsBest Practices
Prompt and Context Best Practices
Prompt and Context Best Practices
Kenneth Pusing avatar
Written by Kenneth Pusing
Updated over a week ago

Introduction

In today's rapidly evolving business landscape, AI has become a cornerstone of operational efficiency and decision-making. However, the effectiveness of AI-driven solutions hinges on how well we communicate with these systems. This guide provides valuable insights into crafting precise, well-structured prompts that empower your AI to deliver accurate, actionable results. By offering the right context, you'll not only enhance the quality of AI responses but also unlock new opportunities for smarter, more informed business decisions. Dive in to discover how you can leverage AI interactions to drive success and innovation in your organization.

Understanding Prompting: The Key to Effective AI Interaction

Prompting is about giving clear instructions to guide AI models in generating useful responses. The better your instructions, the better the AI will understand what you want and give you the right answer.


Why Context Matters

Context is the extra information you provide to help the AI give accurate responses. The AI knows a lot but not about your specific business or processes, so it’s important to include all relevant details.

For example:

Original Prompt:

Question: Did the agent resolve the case correctly?

Answer: Yes, the agent thanked the customer and closed the case.
This answer seems correct, but it depends on what "resolved" means to your business.

Improved Prompt:

Question: Did the agent resolve the case correctly?

Context: A resolved case means the customer accepts the solution, and the agent checks if the customer needs more help.

Answer: No, the agent didn’t meet the criteria for resolving the case.
By adding this context, the AI can give a more accurate answer.

Writing Effective Prompts

Follow these guidelines to create clear prompts:

  1. Be Clear and Specific: Tell the AI exactly what you want. For example, instead of asking, "What happened in the conversation?" ask, "Did the agent handle the customer's complaint efficiently?"

  2. Use Action Words: Start with words like "List," "Explain," or "Describe" to make the prompt clearer. For example, "List the key features of the product."

  3. Avoid Complex Prompts: Keep each prompt focused on one thing. If you need multiple tasks done, break them into separate prompts.

  4. Give Context: Provide the AI with extra details if needed. For example, if the AI is analyzing customer cases, include what "resolved" means to your business.

  5. Specify the Response Format: Tell the AI how you want the answer. For example, "Answer in yes/no format with an explanation."


Common Mistakes to Avoid

  1. Too Broad or Vague Prompts: Avoid general questions like "What happened?" Be specific: "Did the agent handle the customer's complaint efficiently?"

  2. Assuming AI Knows Your Business: The AI doesn't know the ins and outs of your business unless you tell it. Always provide the context. AI models, though powerful, require precise guidance. Think of them as assistants who need clear instructions to understand and align with your business objectives.

  3. Not Specifying Answer Format: If you need a specific format for the answer, like a yes/no with an explanation, make sure to include that in your prompt.

  4. Overcomplicating Prompts: Keep it simple. Focus on one task or question at a time.

  5. Ignoring Employee Roles: Make sure the context fits the employee’s role. For example, a customer service prompt should be different from a sales prompt.

We hope this was helpful! Please submit a ticket here if you have any questions or need further assistance.

Did this answer your question?