OpenAI has published a practical brainstorming guide under its Academy imprint, laying out a concrete workflow for using ChatGPT to generate, organize, and pressure-test ideas — aimed squarely at teams and individuals who keep hitting the same two walls: not enough ideas, or too many with no structure.
What's new
The guide introduces a "wide → narrow" flow as its core pattern: use ChatGPT first to generate options without judgment, then ask it to group and compare them by impact and effort, and finally convert the chosen direction into a draft execution plan with milestones and owners. It also emphasizes constraint-loading upfront — audience, timeline, capacity, success metrics — arguing that even a single sentence like "this needs to work for a team of three in four weeks" meaningfully improves output quality. A handful of specific prompt moves are spelled out: asking for reasoning behind recommendations, forcing a single pick with justification, requesting a "friendly critique," and separating quick wins from foundational work.
Why it matters
This isn't a product announcement — it's OpenAI playing the enterprise adoption long game. Publishing opinionated how-to content for workplace use cases is a direct play to deepen ChatGPT's foothold in team workflows, particularly against Microsoft Copilot and Google's Gemini for Workspace integrations. The framing is deliberately modest: ChatGPT won't replace your judgment, but it can make the process faster and easier to hand off. That's a softer, more credible pitch than the "AI does it for you" narrative that's worn thin.
What to watch
OpenAI Academy appears to be building out a library of these workflow guides — watch for whether they expand into more technical or domain-specific use cases, and whether the Academy content eventually ties into ChatGPT's interface directly as in-product onboarding. For now, it reads as polished internal best-practice documentation that OpenAI has chosen to publish externally.