P

Gemini Prompt for Writing an Email

The prompt

Gemini

Personalize this prompt with Léa

Answer 3 questions and Léa tailors the prompt to your situation.

Variants by level

FAQ

How can I personalize the email generated by Gemini so it doesn't feel artificial?
The key is to provide as much specific context as possible in your prompt: mention real details like a project name, a meeting date, a figure shared during a previous exchange. After generation, add a personal touch — a reference to a recent conversation or a detail only a human would know. Always read the email out loud: if a sentence sounds too polite or too smooth, rephrase it in your own words.
Can Gemini adapt the tone of an email according to the recipient's culture?
Yes, just specify the cultural context in the prompt. For example: "The recipient is a Japanese partner, adapt the level of formality and polite expressions accordingly" or "Email to an American client, direct and action-oriented style." Gemini will adjust greeting conventions, the length of polite expressions, and the degree of directness. Remember to specify if the email should be written in a language other than French.
How many email variants can I ask Gemini for in a single request?
You can ask for up to 3-4 variants in a single prompt without losing quality. Beyond that, the versions tend to resemble each other. A good approach is to ask for variants along different axes: a short and direct version, a more detailed version, and a version with a different emotional angle. Specify what should vary between each version (tone, length, main argument) to get truly distinct alternatives.

How to use this prompt

  1. Copy the prompt with the button above.
  2. Paste it into ChatGPT, Claude or your favorite AI assistant.
  3. Replace the bracketed variables with your details, then refine the result.

About Prompt Guide

Prompt Guide is a free library of 2500+ ready-to-use prompts for ChatGPT, Claude and other AIs, with guides to learn prompting and tools to build and optimize your own prompts.

More prompts to explore

Gemini Prompt to Create a Social Media Strategy

Social networks have become an essential lever for any business looking to increase its visibility, engage its community, and generate qualified leads.

GitHub Copilot Prompt for Analyzing an Annual Report

GitHub Copilot, initially designed as a development assistant, also proves formidable for analyzing complex documents such as annual reports.

GitHub Copilot Prompt for Analyzing Customer Reviews

GitHub Copilot, GitHub's AI assistant integrated into code editors, is not limited to code generation. It also excels at analyzing textual data like customer reviews. By leveraging its natural language processing capabilities directly in your development environment, you can automate sentiment extraction, thematic categorization, and trend identification from thousands of user feedback items. Whether you're working on a Python script, a Jupyter notebook, or a Node.js application, Copilot helps you structure your analysis pipelines without leaving your IDE. This approach is particularly valuable for product and data teams who want to turn raw reviews into actionable insights: detecting recurring pain points, evaluating satisfaction by feature, and tracking sentiment evolution over time. The prompt we offer here is designed to guide Copilot in creating a comprehensive analysis system, from data parsing to generating summary reports usable by business teams.

GitHub Copilot Prompt for Analyzing Market Trends

GitHub Copilot, initially designed as a development assistant, proves to be a powerful tool for market trend analysis when used with the right prompts. By leveraging its code generation and data analysis capabilities, you can automate data collection, processing, and visualization directly in your development environment.

GitHub Copilot Prompt for Analyzing User Feedback

Analyzing user feedback is crucial for improving a product, service, or customer experience. However, manually processing hundreds or thousands of comments—whether from reviews, support tickets, NPS forms, or social media—is a significant undertaking. GitHub Copilot, with its natural language understanding capabilities built directly into your code editor, can automate this analysis with remarkable accuracy. By crafting appropriate prompts, you can ask Copilot to categorize sentiments, extract recurring themes, identify priority friction points, and generate actionable summaries for your product teams. Whether you're working with CSV files, JSON exports, or raw data copied from a support tool, Copilot turns your IDE into a full-fledged qualitative analysis platform. This approach is especially useful for developers and product managers who want to integrate feedback analysis directly into their technical workflow, without relying on expensive third-party tools or advanced data science skills.

GitHub Copilot Prompt for Comparing Offers

GitHub Copilot, the AI-powered coding assistant, is not limited to code generation. It also excels at structured data analysis, no

Go further

Get new prompts every week

Join our newsletter.