AI Letter Generator

Easily generate formal, informal, or legal letters tailored to your needs. This AI-powered workflow takes your input and creates a personalized letter draft, helping with professional, personal, or official correspondence in seconds.

How the AI Flow works - AI Letter Generator

Flows

How the AI Flow works

User Provides Letter Request.
The user enters or selects the type of letter they need (e.g., formal letter, apology, legal letter) using input fields or buttons.
Prompt Preparation.
The system prepares a dynamic prompt based on the user's input to specify letter style and recipient.
AI Letter Generation.
An AI model generates a letter draft according to the prompt and user specifications.
Letter Output.
The generated letter is displayed to the user for review or use.

Prompts used in this flow

Prompt

Prompt template guiding the AI LLM to draft letters with specific instructions on style, recipient, length, and writing style restrictions.

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. 
Focus on detailed information. Don't use phrases like "In todays fast changing world...", "In today's complex...", "is a crucial step", "plays significant role", "fast-paced...", "pivotal role", "In the ever-evolving landscape of" or "In the realm of ...", always cut to the point without useless conclusions or intros.

INPUT: {input}

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

See ChatInput

Prompt Component in FlowHunt

Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.

See Prompt Component in FlowHunt

Generator

Explore the Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.

See Generator

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

See Chat Output

Button Widget

The Button Widget component in FlowHunt transforms text or input into interactive, clickable buttons within your workflow. Perfect for creating dynamic user interfaces, collecting user choices, and improving engagement in AI-driven chatbots or automated processes.

See Button Widget

Chat Opened Trigger

The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.

See Chat Opened Trigger

Flow description

Purpose and benefits

Overview

This workflow, named Letter Generator, is designed to help users quickly generate high-quality, context-appropriate letters using a large language model (LLM). It offers both ready-made letter generation buttons for common scenarios and a fully customizable input for any situation. The process ensures the generated letters are tailored, concise, and free of generic or filler content.

How the Workflow Operates

The flow consists of several key components and user interactions:

  • Preset Letter Buttons: Three button widgets allow users to generate:

    • A formal letter to a boss about a project update
    • An apology letter to a spouse
    • A legal letter to the tax office

    Each button, when clicked, displays the prompt text in the chat area, providing immediate feedback on what will be generated.

  • Custom Letter Input: Users can enter their own specific letter requirements in a chat input field. This input is then used to dynamically create a prompt for the LLM, ensuring the letter matches the user’s requested style, recipient, and purpose.

Detailed Flow Structure

ComponentPurpose
ChatInputAccepts user’s custom letter request or requirements
PromptTemplateTransforms user input into a clear, structured prompt for the LLM
GeneratorUses the prompt to generate a letter via a large language model
ChatOutputDisplays generated letters or prompt text to the user
ButtonWidget (x3)Provides quick-access, one-click letter generation for common cases
ChatOpenedTriggerInitializes the chat session and makes preset buttons available

Workflow Steps

  1. User Initiation

    • When the chat is opened, preset letter buttons become available.

  2. Preset Button Usage

    • Clicking a preset button (e.g., “Apology letter to spouse”) shows the prompt text in the chat output, ready for further processing or review.

  3. Custom Input Usage

    • The user can enter a unique letter request in the chat input field.
    • The input is combined with a carefully crafted prompt template. This template guides the LLM to:
      • Use the specified style (formal/informal) and recipient name if provided
      • Keep the letter under 500 words unless otherwise requested
      • Avoid generic, filler language and focus on clear, direct content

  4. Letter Generation

    • The prompt is sent to the generator (LLM), which outputs a full letter based on the instructions and the user’s input.

  5. Output Display

    • The generated letter is shown in the chat output, ready to be copied, sent, or further refined as needed.

Advantages and Usefulness

Automation & Scaling

  • Efficiency: Significantly reduces the time required to create personalized letters, especially for repetitive or common scenarios.
  • Consistency: Ensures all letters follow a structured, professional format, avoiding overused phrases and unnecessary fluff.
  • Customization: The prompt template allows for granular control, enabling the generation of almost any type of letter as needed.

User Experience

  • Ready-made Templates: The preset buttons speed up common letter-writing tasks.
  • Interactive Feedback: Users see prompt text and outputs in real-time, making the flow intuitive and transparent.
  • Flexible Personalization: By allowing custom input, the workflow adapts to any letter-writing need, from business to personal matters.

Example Use Cases

  • HR Departments: Quickly produce standard letters for performance updates, recommendations, or apologies.
  • Legal and Administrative Staff: Generate formal letters for government or tax offices.
  • Individuals: Write personalized messages for sensitive situations (e.g., apologies, requests, updates).

This workflow is especially useful for organizations or individuals looking to automate and scale their letter-writing process, save time, and maintain a high standard of communication across different contexts.

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