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AI prompt for writing an email sequence

This is a ready-made AI prompt for writing an email sequence, written for Claude and free to copy. Sequences are written as a story the sender knows and the reader does not, because most people only ever see two of the emails. Each one has to stand alone, which is the opposite of how sequences are usually drafted. The prompt below handles that: it is compiled as a writing task, so it carries the structure and the constraints that kind of work needs.

The prompt

Written for Claude. Compiled as a writing task — producing original prose: articles, essays, stories, letters, and long-form copy.

<role>
You are a senior writer and editor with a decade of experience in this exact form.
</role>

<audience>
This is for {{audience}}. Pitch the level of detail, vocabulary, and assumed background at that reader specifically, not at a general audience.
</audience>

<context>
What they just did: {{trigger}}. What success looks like for them: {{activation}}. Where people drop off: {{drop_off}}.
</context>

<task>
Write a {{count}}-email onboarding sequence for {{product}}.
</task>

<constraints>
- Each email has one job and one call to action.
- Each must be useful even if the reader never opens the next one.
- Space them by what the reader has had time to do, not by a fixed cadence.
- The last email must not be the first mention of the paid plan.
- Avoid just checking in.
- Avoid i wanted to reach out.
- Don't miss out.
- Write in plain, direct prose. Do not restate the prompt, and do not open with a throat-clearing sentence.
- Vary sentence length. Do not begin consecutive sentences with the same word or structure.
- Do not invent facts, statistics, quotations, or attributed opinions.
</constraints>

<output_format>
Respond in Markdown. Use descriptive headings, and keep paragraphs to three sentences or fewer.
</output_format>

Now, write a {{count}}-email onboarding sequence for {{product}}.

Open this in the prompt builder to add your own context and see what would improve it most.

What makes writing an email sequence hard to prompt for

Sequences are written as a story the sender knows and the reader does not, because most people only ever see two of the emails. Each one has to stand alone, which is the opposite of how sequences are usually drafted.

Why this prompt works

Background comes before the instruction
The model reads the situation before it learns what to do with it, which stops the instruction being diluted by everything that follows. The task is then restated as the final line, where models weight it most heavily.
Rules a writing task assumes but nobody writes down
Write in plain, direct prose. Do not restate the prompt, and do not open with a throat-clearing sentence. Vary sentence length. Do not begin consecutive sentences with the same word or structure. These are added automatically because leaving them implicit is the most common reason this kind of output disappoints.

What to replace

PlaceholderWhat to put there
{{audience}}Your audience.
{{trigger}}Your trigger.
{{activation}}Your activation.
{{drop_off}}Your drop off.
{{count}}Your count.
{{product}}Your product.

Check the output before you use it

  • Read email four alone. Does it make sense to someone who missed one to three?
  • Check each email has exactly one call to action.
  • Confirm the timing reflects how long the action actually takes, not a round number of days.

The same prompt for other models

Identical content, packaged the way each model reads most reliably.

ChatGPT

## Role

You are a senior writer and editor with a decade of experience in this exact form.

## Audience

This is for {{audience}}. Pitch the level of detail, vocabulary, and assumed background at that reader specifically, not at a general audience.

## Context

What they just did: {{trigger}}. What success looks like for them: {{activation}}. Where people drop off: {{drop_off}}.

## Task

Write a {{count}}-email onboarding sequence for {{product}}.

## Constraints

- Each email has one job and one call to action.
- Each must be useful even if the reader never opens the next one.
- Space them by what the reader has had time to do, not by a fixed cadence.
- The last email must not be the first mention of the paid plan.
- Avoid just checking in.
- Avoid i wanted to reach out.
- Don't miss out.
- Write in plain, direct prose. Do not restate the prompt, and do not open with a throat-clearing sentence.
- Vary sentence length. Do not begin consecutive sentences with the same word or structure.
- Do not invent facts, statistics, quotations, or attributed opinions.

## Output format

Respond in Markdown. Use descriptive headings, and keep paragraphs to three sentences or fewer.

Now, write a {{count}}-email onboarding sequence for {{product}}.

Gemini

**Task**

Write a {{count}}-email onboarding sequence for {{product}}.

**Role**

You are a senior writer and editor with a decade of experience in this exact form.

**Audience**

This is for {{audience}}. Pitch the level of detail, vocabulary, and assumed background at that reader specifically, not at a general audience.

**Context**

What they just did: {{trigger}}. What success looks like for them: {{activation}}. Where people drop off: {{drop_off}}.

**Constraints**

- Each email has one job and one call to action.
- Each must be useful even if the reader never opens the next one.
- Space them by what the reader has had time to do, not by a fixed cadence.
- The last email must not be the first mention of the paid plan.
- Avoid just checking in.
- Avoid i wanted to reach out.
- Don't miss out.
- Write in plain, direct prose. Do not restate the prompt, and do not open with a throat-clearing sentence.
- Vary sentence length. Do not begin consecutive sentences with the same word or structure.
- Do not invent facts, statistics, quotations, or attributed opinions.

**Output format**

Respond in Markdown. Use descriptive headings, and keep paragraphs to three sentences or fewer.

Now, write a {{count}}-email onboarding sequence for {{product}}.

Common questions

How many emails should an onboarding sequence have?
Enough to get someone to the point where the product is useful, which is usually three to five. Length should follow the activation steps, not a template — every extra email is another chance to unsubscribe.
How far apart should the emails be?
Spaced by how long the previous step realistically takes. A daily cadence for a task that takes a week is nagging; a weekly cadence for a five-minute task loses the momentum you had.
Which AI model is best for writing an email sequence?
All of them handle this; what changes is the packaging. This page shows the same prompt written for Claude, ChatGPT, Gemini. Claude follows XML-delimited structure most reliably, ChatGPT works best with markdown headings, and Gemini prefers the task stated before the material. The content of the prompt is identical in each.
Can I change this prompt for my own situation?
Yes, and you should. Replace the placeholders with your own details, then open it in the builder to add context specific to you. The builder scores what you supply and tells you exactly which missing piece would improve it most.
Why does this prompt include rules I did not ask for?
Because writing tasks carry requirements that experienced practitioners apply automatically and rarely write down. The compiler adds them so the output does not fail on something obvious. Every added rule is listed on the how it works page.

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