Writing with ChatGPT: OpenAI Academy Guide

OpenAI Academy introduces a structured framework for AI-assisted writing

OpenAI has released a guide on using ChatGPT to optimize workplace writing, focusing on reducing the time spent on drafting, organizing, and refining content. The guide emphasizes a systematic approach to writing—moving from planning to packaging—to help users move past the "blank page" problem and focus on high-level decision-making.

The Plan-Draft-Revise-Package Workflow

Effective workplace writing aims to help readers understand information quickly and determine next steps. To achieve this, OpenAI recommends a four-stage workflow:

• Plan: Define the goal, the target audience, and the specific "ask" or desired outcome.
• Draft: Use the AI to generate a usable first version rapidly.
• Revise: Focus on improving the flow, tone, clarity, and length of the draft.
• Package: Format the final content for the specific delivery channel, such as a memo, email, FAQ, slide copy, or script.

Implementation Strategies for Writing Tasks

To get the highest quality output, users should provide specific context and constraints rather than relying on broad prompts. The process is broken down into four key steps:

1. Define the Assignment

Clear goals lead to stronger drafts. Users should start by defining the assignment in one or two sentences, explicitly stating who the audience is and what the expected outcome is after the reader consumes the content.

2. Provide Raw Material

ChatGPT can process uploaded files, connected apps, or raw text. Users should provide bullet points, meeting notes, rough drafts, or essential facts. This stage should also include clear constraints, such as the exclusion of internal jargon or the maintenance of a neutral tone.

3. Specify the Format

Output varies significantly based on the requested format. For scannable content, users should request headings and short paragraphs. For "send-ready" communication, users should request a subject line, a concise opening, and clear next steps.

4. Iterate with Targeted Feedback

Targeted guidance is more effective than broad requests. For example, requesting a "25% reduction in length" or a "clarified final call to action" is more productive than asking the AI to "make it better."

Practical Application Examples

OpenAI provides specific prompt structures for common workplace tasks:

Task	Context	Expected Output
Follow-up email	Meeting notes from a cross-functional product launch timeline involving marketing, product, and operations.	Concise email with subject line, summary, and clear next steps with owners.
Internal leadership update	Rough notes intended for senior leaders requiring a quick summary of progress, risks, and next steps.	One-page update with headings for progress, risks, and upcoming work.
Draft announcement rewrite	A long draft containing internal jargon that needs to be clearer and easier to scan.	Shorter, revised version written in plain language and optimized for scanning.

Best Practices for Success

To ensure accuracy and quality, OpenAI suggests the following guidelines:

• Start with a foundation: Provide a rough draft or starting point whenever possible.
• Structure first: For longer pieces, request an outline or structure before the full draft.
• Apply constraints: Define word counts, reading levels, brand voice, or specific "do's and don'ts."
• Request rationales: Ask for both the revision and a brief explanation of why changes were made to understand the logic.
• Verify facts: Always verify specific numbers, policies, or claims referenced in the content.
• Consistency: For consistent adherence to a specific writing style, users are encouraged to build a custom skill.