Purpose
Use this lesson to combine task, context, constraints, and output format. The aim is to produce work that a colleague can review and act on, not merely text that sounds convincing.
Lesson Explanation
Scenario: Create an onboarding email.
Better instruction: Draft an onboarding email for a new B2B customer using the attached service details; keep it under 160 words; return a subject line and email body.
The task says what to do. Context supplies the material. Constraints set boundaries such as length or exclusions. Output format makes the result usable. If one part is missing, the AI has room to guess. The response contains the requested subject line and body, stays under 160 words, and uses supplied details.
Work in a short cycle: provide the relevant input, state the result and limits, inspect the draft against the acceptance criteria, then revise the instruction when a requirement is missing. Keep the final human decision with the person responsible for the work.
Practice Questions
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What is the main work outcome in “The Four Parts of a Strong Prompt”?
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combine task, context, constraints, and output format.
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Why is this request incomplete: Create an onboarding email.
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It leaves important decisions to guesswork. The lesson shows how to supply the missing purpose, context, boundary, or format.
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Which instruction makes the request operational: Draft an onboarding email for a new B2B customer using the attached service details; keep it under 160 words; return a subject line and email body.
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It defines a concrete result that can be checked instead of asking for a vague response.
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What principle should guide your prompt for this lesson?
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The task says what to do. Context supplies the material. Constraints set boundaries such as length or exclusions. Output format makes the result usable. If one part is missing, the AI has room to guess.
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What would count as an acceptable result here?
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The response contains the requested subject line and body, stays under 160 words, and uses supplied details.
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Name one detail you would verify before using an AI result for “The Four Parts of a Strong Prompt”.
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Verify the source facts, inputs, numbers, names, dates, policy limits, or assumptions that affect the real decision.
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What should you add if the result is polished but not usable for the scenario in this lesson?
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Add the missing acceptance criteria or output structure, then regenerate and compare against the stated requirement.
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Which is safer: asking for a general answer or stating the business context in this lesson? Why?
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State the business context because it reduces irrelevant guesses and lets the AI tailor the work to the actual situation.
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How would you test the output from “The Four Parts of a Strong Prompt” before sharing it?
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Check it against the requested facts, format, limits, and acceptance criteria; then have the appropriate human reviewer approve it.
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What should the AI do when a required fact is missing in this scenario?
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Flag the missing fact or ask a focused question rather than silently inventing an answer.
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What risk does the lesson warn about for “The Four Parts of a Strong Prompt”?
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Treating fluent output as automatically correct, complete, approved, or fit for real-world use.
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Write the shortest useful improvement to the weak request in this lesson.
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Draft an onboarding email for a new B2B customer using the attached service details; keep it under 160 words; return a subject line and email body.