???? Clay 101: Prompt Engineering with the S.P.I.C.E. Framework
Master the art of prompt engineering at scale with Clay’s S.P.I.C.E. Framework, a structured approach to crafting high-performing AI prompts:
✅ Sections: Organize your prompt using distinct structural components, clearly separated by hashtags (#), to define variables, context, instructions, and examples.
✅ Prompt Variables: Use placeholders in curly brackets { } to dynamically insert data from your dataset, ensuring your prompts adapt across multiple rows.
✅ Instructions: Provide clear, step-by-step guidance for AI responses, including formatting, tone, and specific actions to take.
✅ Context: Supply relevant background information to help the AI understand your specific use case and generate more accurate responses.
✅ Examples: Show sample outputs wrapped in HTML tags to clarify the expected format and improve AI consistency.
Follow our guided demo to see the S.P.I.C.E. Framework in action and start crafting powerful prompts at scale.
Master the art of prompt engineering at scale with Clay’s S.P.I.C.E. Framework, a structured approach to crafting high-performing AI prompts:
✅ Sections: Organize your prompt using distinct structural components, clearly separated by hashtags (#), to define variables, context, instructions, and examples.
✅ Prompt Variables: Use placeholders in curly brackets { } to dynamically insert data from your dataset, ensuring your prompts adapt across multiple rows.
✅ Instructions: Provide clear, step-by-step guidance for AI responses, including formatting, tone, and specific actions to take.
✅ Context: Supply relevant background information to help the AI understand your specific use case and generate more accurate responses.
✅ Examples: Show sample outputs wrapped in HTML tags to clarify the expected format and improve AI consistency.
Follow our guided demo to see the S.P.I.C.E. Framework in action and start crafting powerful prompts at scale.
- Category
- AI prompts
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