By Jeff Su
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Get instant insights and key takeaways from this YouTube video by Jeff Su.
The Six Building Blocks of Prompting
🛠️ Understand the six essential components for effective prompting: Task, Context, Exemplars, Persona, Format, and Tone.
hierarchical importance: the Task is mandatory 💪, Context and Exemplars are important, while Persona, Format, and Tone are valuable additions.
✅ Utilize this formula as a mental checklist to consistently include sufficient and relevant information in your prompts.
Crafting Effective Prompts: Component Deep Dive
🎯 Task: Always start with an action verb (e.g., generate, write, analyze) and clearly articulate your end goal.
💡 Context: Provide "just enough" information by considering the user's background, what success looks like, and the environment 🌍 to constrain possibilities.
📈 Exemplars: Drastically improve output quality by including relevant examples or frameworks (e.g., STAR method for interview prep) for the AI to follow.
🦸 Persona: Assign a specific role to the AI (e.g., senior product marketing manager, recruiter, or even fictional characters) to guide its perspective and expertise.
Enhancing Output Precision & Style
🖼️ Format: Visualize the exact desired output structure (e.g., tables, emails, bullet points, markdown with H2 headers) for precise results.
📝 Proofreading Pro-Tip: When proofreading, specify that all changes should be bolded for easy identification.
🗣️ Tone: Instead of just adjectives, describe the feeling you want to convey (e.g., "confident yet friendly") to guide the AI's voice accurately.
Key Points & Insights
✨ The "6 building blocks" formula enables you to consistently generate high-quality outputs by ensuring all relevant details are considered.
⚡ Prioritize giving "just enough information" to the AI; this balances specificity with productivity, preventing endless refinement.
🚀 Combining multiple components from the formula leads to significantly less generic and more usable results, as demonstrated by the Apple Car example.
📸 Video summarized with SummaryTube.com on Sep 28, 2025, 11:33 UTC
Full video URL: youtube.com/watch?v=jC4v5AS4RIM
Duration: 8:30
Get instant insights and key takeaways from this YouTube video by Jeff Su.
The Six Building Blocks of Prompting
🛠️ Understand the six essential components for effective prompting: Task, Context, Exemplars, Persona, Format, and Tone.
hierarchical importance: the Task is mandatory 💪, Context and Exemplars are important, while Persona, Format, and Tone are valuable additions.
✅ Utilize this formula as a mental checklist to consistently include sufficient and relevant information in your prompts.
Crafting Effective Prompts: Component Deep Dive
🎯 Task: Always start with an action verb (e.g., generate, write, analyze) and clearly articulate your end goal.
💡 Context: Provide "just enough" information by considering the user's background, what success looks like, and the environment 🌍 to constrain possibilities.
📈 Exemplars: Drastically improve output quality by including relevant examples or frameworks (e.g., STAR method for interview prep) for the AI to follow.
🦸 Persona: Assign a specific role to the AI (e.g., senior product marketing manager, recruiter, or even fictional characters) to guide its perspective and expertise.
Enhancing Output Precision & Style
🖼️ Format: Visualize the exact desired output structure (e.g., tables, emails, bullet points, markdown with H2 headers) for precise results.
📝 Proofreading Pro-Tip: When proofreading, specify that all changes should be bolded for easy identification.
🗣️ Tone: Instead of just adjectives, describe the feeling you want to convey (e.g., "confident yet friendly") to guide the AI's voice accurately.
Key Points & Insights
✨ The "6 building blocks" formula enables you to consistently generate high-quality outputs by ensuring all relevant details are considered.
⚡ Prioritize giving "just enough information" to the AI; this balances specificity with productivity, preventing endless refinement.
🚀 Combining multiple components from the formula leads to significantly less generic and more usable results, as demonstrated by the Apple Car example.
📸 Video summarized with SummaryTube.com on Sep 28, 2025, 11:33 UTC
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