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How to Use AI to Write Better Emails

How to Use AI to Write Better Emails

How-To

A practical guide to using AI for email writing, including giving real context, matching your own voice, and always reviewing before sending.

Email is one of the highest-value, lowest-risk places to use AI regularly. You’re always the one reviewing before it sends, so the downside of a bad draft is basically zero.

Paste in the email you’re replying to. Say what you actually want, are you declining, negotiating, following up. “Write a reply” gets you something generic. “Write a reply declining this meeting but offering next Tuesday, keep it warm since we work together closely” gets you something you can send with minor edits.

Feed it two or three emails you’ve actually written and ask it to match that specific voice, not a description of your style. A real example beats “professional but friendly” every time.

Use it most for the emails you’re avoiding, delivering bad news, pushing back, asking for something uncomfortable. It gives you a draft to react to, which is often easier than staring at a blank message. And read it before sending, the same discipline covered in our guide to fact-checking AI content. AI drafts can misread tone or include a detail you didn’t mean to share, always treat the output as a starting point, never something to send unread.

See Anthropic’s prompt engineering documentation for more on giving useful context.

Up Next
ChatGPT vs Claude: Which Is Better?

ChatGPT vs Claude: Which Is Better?

Comparisons

A direct comparison of ChatGPT and Claude, covering where each one genuinely wins, pricing, and how to decide which fits your actual workflow.

ChatGPT and Claude are the two most commonly recommended starting points, and the real differences are narrower than most comparisons let on.

ChatGPT has the broadest tool ecosystem and the largest user base, which means the most real-world tested behavior across an enormous range of use cases. It tends to edge ahead on research and structured problem-solving, anything with a single verifiable answer.

Claude gets picked for long-form writing that needs to hold a consistent voice, and for code that has to follow a specific existing architecture rather than generate something generic. It handles nuanced, caveat-heavy reasoning well.

Both offer a usable free tier and similarly priced paid plans. Check current API rates directly before committing to either for high-volume use, pricing has shifted more than once this year on both sides.

The top models from both now score within a few points of each other on most benchmarks. Run the same real task through both for a week before deciding, that tells you more than either company’s marketing. For the full four-way breakdown with Gemini and Grok, see our complete comparison.

Compare directly at chatgpt.com and claude.ai.