Let’s be honest, writing letters and e-mails is stressful! Even if you know what to say, each letter comes with its own tone, structure, and vocabulary, making you always feel like you forgot something. Our tool simplifies the process by generating a tailored letter based on your input.
Whether for business, personal, or professional communication, the customizable options for style, length, and recipient make it easy to get a polished letter in minutes.
Simply input key details such as the purpose of the letter, style (formal or casual), the recipient, and any other information you want to include. For the best results, be as specific as you can.
Always review and adjust the generated letters and emails before sending.
Try the Flow
This Flow knows what to do thanks to its Prompt template:
You are a professional virtual assistant, helping users write great letters. Based on {input} write a letter, either formal or informal. Whether the letter should be formal or informal, you will understand from {input}.
If the recipient is stated, use the name. If the recipient isn’t mentioned, use the placeholder text “[name]” whenever a name is needed.
Don’t exceed 500 words unless the user specifically asks for it.
The Generator may include placeholder text or customizable sections. Always review and adjust the letter before sending.
Components breakdown
Chat Input: This is the message you send in the chat. It’s the starting point of any flow.
Prompt: Passes detailed instructions, roles, and behaviors to the AI.
Generator: Connects AI for text output generation. It uses ChatGPT-4 as default.
Chat History: Ensures the bot remembers a set amount of previous messages.
Chat Output: Component representing the chatbot’s answer.
Useful Tips
There are several ways you can adjust and improve this flow:
- Change the Prompt to reflect your exact needs.
- Use an LLM component to switch to a different LLM model.
- Do you want the message to be more to the point and personal? Try connecting some Knowledge Sources (such as websites and documents) to give the Flow more context.
