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How to Write Better Emails Faster With AI (With Real Examples)

6 min readDeliberate Academy Editorial Team

The problem with AI-written emails

Most people who try using AI for email get outputs that are technically correct but obviously robotic. Phrases like "I hope this message finds you well" and "Please do not hesitate to reach out" are everywhere because that is what the model produces when you give it nothing to work with.

The tool is not the problem. The prompt is.

When you give an AI model real context, a specific recipient, a clear purpose, and the right tone, it produces drafts that sound like you wrote them on a good day, just faster.

What a good email prompt includes

Before looking at examples, understand the five elements that separate a useful email prompt from a vague one:

  • Who is the recipient and what is their relationship to you
  • What is the purpose of the email (what do you want to happen)
  • What is the relevant context the reader needs
  • What tone is appropriate (formal, direct, warm, brief)
  • Any constraints (length, specific phrasing to include or avoid)

With those five things, you will get a draft you can use in one or two edits. Without them, you will spend more time editing than you saved.

Example 1: Following up after a sales meeting

Vague prompt: "Write a follow-up email after a sales meeting."

Better prompt: "Write a follow-up email to Marcus, a procurement lead at a mid-size manufacturing company. We met yesterday. I presented our inventory management software. He had concerns about the integration timeline with their existing ERP. Keep it under 150 words. Professional but not stiff. Close by suggesting a 20-minute call next week."

The second prompt produces something you can send. The first produces something you have to rewrite from scratch.

Tip

Paste the subject line of the email you need to send, then describe the situation in two or three sentences before asking the AI to write it. That context forces a useful output even if you do not structure your prompt perfectly.

Example 2: Delivering difficult feedback

This is where AI is particularly useful because difficult feedback emails are easy to get wrong. Too blunt and you damage the relationship. Too gentle and the message does not land.

Prompt: "Write an email to a freelance designer who missed a deadline by four days without warning. The project is now delayed. I want to address it directly but keep the relationship intact because we work together regularly. Acknowledge the impact, ask for an explanation, and set clear expectations for the next milestone. Firm but not aggressive. Around 200 words."

The AI will give you a structure you would not have reached as quickly under stress or frustration.

Example 3: Asking a senior person for something

Emails to senior stakeholders often get too long because the writer is nervous. AI can help you cut to the point.

Prompt: "I need to ask my CFO to approve a $15,000 budget increase for a marketing campaign that is mid-flight. Results so far are good, 40% above target on lead volume. Write a request email that is direct, gives the justification without padding, and makes the approval as easy as possible to grant. Under 120 words."

Example 4: Handling a complaint

Prompt: "Write a response to a customer who is unhappy because their order arrived five days late and one item was damaged. We want to apologise sincerely, offer a replacement for the damaged item plus a 15% discount on their next order, and reassure them about our quality process. Warm and genuine, not corporate. Around 180 words."

Tip

After the AI produces a draft, ask it to shorten the email by 30% while keeping the key message. Most AI-generated emails are slightly too long. This one extra prompt step produces something much closer to what you would write naturally.

Making it sound like you

If you use AI email drafts regularly, build a short style note. Something like: "I write in short paragraphs, never use exclamation points in professional emails, prefer direct language, and avoid phrases like 'please do not hesitate to reach out.'" Paste that at the start of any email prompt and the output will match your voice much more closely.

Getting the basics right

AI email drafting is one of the fastest wins available to any professional. The time investment to learn how to prompt well is small. The payoff across a working week of email is significant.

If you want to build a stronger foundation in using AI for professional communication and other daily work tasks, the AI Fundamentals course covers the core skills that apply across every tool and every role.

Frequently asked questions

Why do AI-written emails sound robotic?

Because the prompt gave the model nothing to work with. "I hope this message finds you well" and "please do not hesitate to reach out" are what a model produces in the absence of context. Supply a real recipient, a clear purpose and the right tone and the draft reads like you wrote it on a good day.

What should a good email prompt contain?

Five things: who the recipient is and their relationship to you, what you want to happen as a result, the context the reader needs, the appropriate tone, and any constraints such as length or phrasing to avoid. With those you get a draft that needs one or two edits. Without them you spend longer editing than you saved.

What is the quickest way to improve an AI email draft?

Ask it to cut the email by about 30 percent while keeping the key message. Most AI-generated emails run slightly long, and that one extra step lands them much closer to how you would actually write. It costs seconds and consistently improves the result.

How do I make AI drafts sound like me rather than generic?

Write a short style note once and reuse it: how long your paragraphs run, punctuation habits, the directness you prefer, and specific phrases you never use. Pasting that at the start of any email prompt shifts the output toward your voice far more reliably than editing every draft into shape afterwards.

Which emails benefit most from AI drafting?

The ones that are easy to get wrong under pressure. Difficult feedback where too blunt damages the relationship and too gentle fails to land; requests to senior stakeholders that balloon because the writer is nervous; complaint responses that need to sound genuine rather than corporate. In each case AI gives you a structure faster than you would reach it while frustrated or anxious.

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