Writing with ChatGPT
Key Points
- Plan → Draft → Revise → Package
- Provide context, constraints, and format
- Iterate with specific, targeted feedback
Summary
This OpenAI Academy guide shows how to use ChatGPT to draft, revise, and package workplace writing efficiently. It presents a simple, repeatable workflow (Plan → Draft → Revise → Package), explains prompt best practices, and provides ready-to-use templates for common tasks like follow-up emails, executive summaries, process rewrites, and launch emails. The guide emphasizes giving context, constraints, and format requirements, treating outputs as drafts to iterate on, and verifying facts before publishing.
Key Points
- Start by defining the assignment in one sentence: who the audience is and what should happen next.
- Provide source material (notes, drafts, or uploaded files) and explicit constraints (tone, word count, jargon to avoid).
- Specify the desired format up front (email, one-pager, FAQ, slides) and request scannable structure if needed.
- Use the Plan → Draft → Revise → Package workflow: clarify goals, generate a draft, make targeted revisions, then format for the channel.
- Iterate with focused feedback (e.g., “shorten by 25%” or “clarify the call to action”) rather than vague requests.
- Use provided example prompts as templates for recurring tasks; verify factual claims and consider building a reusable style/skill for consistency.
Practical tips for engineers
- Keep prompts minimal but precise: include audience, required facts, and the single expected outcome.
- Attach or link relevant files when available—ChatGPT can consume uploads or connected app files to ground responses.
- Save and reuse prompt templates for standard outputs (status updates, launch emails, process docs) to reduce turnaround time.