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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
π οΈ Understand the six essential components for effective prompting: Task, Context, Exemplars, Persona, Format, and Tone.
hierarchical importance: the Task is mandatory πͺ, Context and Exemplars are important, while Persona, Format, and Tone are valuable additions.
β
Utilize this formula as a mental checklist to consistently include sufficient and relevant information in your prompts.
Crafting Effective Prompts: Component Deep Dive
π― Task: Always start with an action verb (e.g., generate, write, analyze) and clearly articulate your end goal.
π‘ Context: Provide "just enough" information by considering the user's background, what success looks like, and the environment π to constrain possibilities.
π Exemplars: Drastically improve output quality by including relevant examples or frameworks (e.g., STAR method for interview prep) for the AI to follow.
π¦Έ 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
πΌοΈ Format: Visualize the exact desired output structure (e.g., tables, emails, bullet points, markdown with H2 headers) for precise results.
π Proofreading Pro-Tip: When proofreading, specify that all changes should be bolded for easy identification.
π£οΈ 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
β¨ The "6 building blocks" formula enables you to consistently generate high-quality outputs by ensuring all relevant details are considered.
β‘ Prioritize giving "just enough information" to the AI; this balances specificity with productivity, preventing endless refinement.
π Combining multiple components from the formula leads to significantly less generic and more usable results, as demonstrated by the Apple Car example.
πΈ Video summarized with SummaryTube.com on Sep 28, 2025, 11:33 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases
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
π οΈ Understand the six essential components for effective prompting: Task, Context, Exemplars, Persona, Format, and Tone.
hierarchical importance: the Task is mandatory πͺ, Context and Exemplars are important, while Persona, Format, and Tone are valuable additions.
β
Utilize this formula as a mental checklist to consistently include sufficient and relevant information in your prompts.
Crafting Effective Prompts: Component Deep Dive
π― Task: Always start with an action verb (e.g., generate, write, analyze) and clearly articulate your end goal.
π‘ Context: Provide "just enough" information by considering the user's background, what success looks like, and the environment π to constrain possibilities.
π Exemplars: Drastically improve output quality by including relevant examples or frameworks (e.g., STAR method for interview prep) for the AI to follow.
π¦Έ 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
πΌοΈ Format: Visualize the exact desired output structure (e.g., tables, emails, bullet points, markdown with H2 headers) for precise results.
π Proofreading Pro-Tip: When proofreading, specify that all changes should be bolded for easy identification.
π£οΈ 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
β¨ The "6 building blocks" formula enables you to consistently generate high-quality outputs by ensuring all relevant details are considered.
β‘ Prioritize giving "just enough information" to the AI; this balances specificity with productivity, preventing endless refinement.
π Combining multiple components from the formula leads to significantly less generic and more usable results, as demonstrated by the Apple Car example.
πΈ Video summarized with SummaryTube.com on Sep 28, 2025, 11:33 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases

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