Domain-Knowledge Embedded Prompting | Scribe

    Domain-Knowledge Embedded Prompting

    • Patrick Law |
    • 7 steps |
    • 16 seconds
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    In this guide, I will be demonstrating how to use Domain-Knowledge Embedded Prompting Technique to calculate the required pipe diameter given flow rate and velocity.
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    Navigate to [https://chatgpt.com/?model=gpt-4o](https://chatgpt.com/?model=gpt-4o)
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    Enter this prompt: "*Using the following data and guidelines, calculate the pipe diameter while ensuring compliance with industry standards:* - *The pipe material is **carbon steel**.* - *The velocity must be maintained between **1 and 3 m/s** as per fluid transport best practices. The velocity is 2 m/s.* - *The flow rate is **0.2 m³/s**.* - *Ensure the calculation adheres to **ASME B31.3** standards for piping design.* ***Requirements:*** 1. *Use the formula for pipe diameter:\ D = sqrt((4 Q) / (pi v))\ where QQQ is the flow rate and vvv is the velocity.* 2. *Velocity that is compliant with the range of 1–3 m/s. For this use 2 m/s.* 3. *Show all calculations, ensuring consistency in units and alignment with carbon steel piping properties.* 4. *Provide a final pipe diameter that meets both the flow rate and velocity requirements."* [[By embedding domain-specific knowledge, this technique ensures results align with industry requirements. It’s highly effective for engineering tasks but requires accurate data input.]]
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    Examine the results.
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    [[Embedding domain knowledge ensures calculations meet specific standards. This technique is perfect for specialized engineering tasks but requires accurate and relevant data. Domain-Knowledge Embedded Prompting combines AI capabilities with industry expertise. Explore our other videos to master more advanced prompting techniques. Subscribe to our Udemy Course to learn more about using AI in you engineering workflow!]]