Prompt Engineering Guide
Mastering Customer support response
on Perplexity Online 70B
Stop guessing. See how professional prompt engineering transforms Perplexity Online 70B's output for specific technical tasks.
The "Vibe" Prompt
"Hey, a customer's asking for help because their stuff isn't working with their new phone. What should I tell them?"
Low specificity, inconsistent output
Optimized Version
You are a customer support agent. A customer is experiencing an issue where their 'product' is not working with their 'new phone'. Your goal is to provide a helpful and structured response. Follow these steps:
1. Acknowledge the customer's frustration and validate their experience.
2. Ask for specific details about the 'product' and 'new phone' model.
3. Suggest initial troubleshooting steps for common compatibility issues (e.g., checking for updates, re-pairing, app compatibility).
4. Offer to escalate to a technical specialist if initial steps fail.
5. Maintain a polite and empathetic tone throughout the response.
Customer's Message: 'My gadget isn't connecting to my new iPhone 15. It used to work fine with my old phone. Help!'
Task: Generate the customer support response based on the above instructions and the customer's message.
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt provides a clear persona, defines the goal, and outlines a step-by-step chain-of-thought process. This structure guides the model to produce a comprehensive, empathetic, and actionable response, preventing generic or unhelpful outputs. It breaks down the cognitive load into manageable stages for the LLM. The inclusion of an example customer message helps in contextualizing the task further.
0%
Token Efficiency Gain
The optimized prompt explicitly sets the persona as a 'customer support agent'.
The optimized prompt uses numbered steps for a 'chain-of-thought' approach.
The optimized prompt asks for specific details relevant to the problem.
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