ChatGPT as a Writing and Drafting Assistant By the end of this lesson, students should be able to: Most writing problems are structure problems. A document that does not flow, is hard to follow, or does not persuade is rarely fixed by better sentences – it needs better structure. Starting to write before the structure is clear wastes content effort on material that will need to be reorganized. The architecture-first workflow – three questions. Build a structure that answers these three questions – before writing a sentence of content. Using ChatGPT to develop and test architecture. "I need to write [document type] for [audience]. The purpose is [goal]. The key conclusion I need them to reach is [conclusion]. Design three possible structures. For each, explain what the reader's experience would be. Identify which structure is most likely to succeed for this audience and purpose – and why." Then test your chosen structure: "Here is my proposed document structure: [outline]. My audience is [description]. Please read this as a skeptical member of my target audience. What would cause confusion? What is missing? Does the structure earn the key conclusion?" ChatGPT file upload for architecture review. Users with file-upload access can upload an existing draft and ask for architectural feedback: "Please analyze the structure of this document. Does it serve the stated audience and purpose? Are the most important points in the most prominent positions?" When architecture-first is overkill. For short emails, quick updates, and simple responses – architecture-first is unnecessary overhead. Reserve the process for documents over 500 words and anything requiring persuasion. Before moving to the quiz, complete this short applied exercise: Instructor check: A strong answer should show practical use, human review, and awareness that ChatGPT output is assistance – not automatic truth or professional advice. question_id: auto-enhancement-architecture-first-planning-before-you-write-qjamie001 question_type: short_answer difficulty: applied question: Write one prompt you could use after this lesson, then name one verification or human-review step you would apply before relying on the result. correct_answer: Answers will vary; a strong answer includes a clear task, relevant context, at least one constraint or desired format, and a realistic verification or human-review step based on the stakes of the task. answer_explanation: This applied question checks whether the student can transfer the lesson into real use while maintaining responsible AI habits. Log in and enroll to take this lesson quiz.
Lesson 1: Architecture-First – Planning Before You Write
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Jamie Practice Lab
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