auto-comment-dm System Requirements Document

1. Introduction

The "auto-comment-dm" project aims to develop an application similar to "ManyChat" that automates the process of responding to comments on Instagram posts. When a user comments on a post, the application will automatically reply to the comment and send a private direct message (DM) to the commenter.

2. System Overview

The auto-comment-dm application will integrate with Instagram's API to monitor comments on specified posts. Upon detecting a new comment, the system will automatically generate a reply to the comment and send a personalized direct message to the commenter. This automation aims to enhance user engagement and streamline communication on Instagram.

3. Functional Requirements as Story Points

• As a User, I should be able to connect my Instagram account to the application for comment monitoring.
• As a User, I should be able to select specific Instagram posts for which I want to automate comment responses.
• As a User, I should be able to define the content of automated replies to comments.
• As a User, I should be able to define the content of automated direct messages sent to commenters.
• As a User, I should be able to view a log of all automated interactions, including comments replied to and DMs sent.
• As a User, I should be able to pause or resume the automation process for specific posts.
• As a User, I should be able to customize the timing of automated responses to avoid appearing robotic.

4. User Personas

• User: An Instagram account holder who wants to automate responses to comments on their posts to enhance engagement and streamline communication.

5. Core User Flows

1. Connect Instagram Account:

   • User logs into the application.
   • User connects their Instagram account via the Instagram API.
   • Application requests necessary permissions to monitor comments and send DMs.

2. Select Posts for Automation:

   • User selects specific posts for which they want to automate responses.
   • User defines the content for automated comment replies and DMs.

3. Automate Responses:

   • Application monitors selected posts for new comments.
   • Upon detecting a new comment, the application replies to the comment and sends a DM to the commenter.

4. Manage Automation:

   • User views a log of automated interactions.
   • User can pause or resume automation for specific posts.

6. Visuals Colors and Theme

• primary: #1DA1F2 (Instagram Blue)
• primary_light: #A6D7FF (Light Blue for hover states)
• secondary: #F5F8FA (Light Gray for secondary UI elements)
• accent: #FFAD1F (Orange for CTAs and active states)
• highlight: #FFDC80 (Yellow for notifications and hover states)
• bg: #FFFFFF (White for page background)
• surface: #F0F0F0 (Light Gray for card/panel background)
• text: #14171A (Dark Gray for primary text)
• text_muted: #657786 (Muted Gray for secondary text)
• border: #E1E8ED (Light Gray for borders)

7. Signature Design Concept

Interactive Comment Flow

The landing page will feature an interactive comment flow animation. As users scroll, they will see a dynamic representation of comments appearing on an Instagram post. Each comment will trigger an animated sequence where a reply is generated, and a direct message icon flies out to the side, symbolizing the DM being sent. This animation will be built using motion/react for smooth transitions and interactions.

Landing Hero Motion Brief

• Input: User comments on an Instagram post.
• Transformation: The comment triggers an animated reply and DM sequence.
• Outcome: The DM icon flies out, representing successful communication.
• Layers: Foreground with comment bubbles, midground with reply animations, background with DM icons.
• Loop: A continuous 10-second loop showing different comments and responses.
• Interaction: Hovering over a comment bubble will pause the animation and display additional information.
• Responsive: Adjusts to different screen sizes while maintaining clarity and engagement.

8. Interaction Model & Motion Direction

• Intended Interaction Model: Animated
  • The landing page will feature moderate scroll-triggered reveals and hover transitions.
  • Interactive elements will have spring physics for a polished user experience.

9. Non-Functional Requirements

• The application must comply with Instagram's API usage policies.
• The system should handle a high volume of comments without performance degradation.
• The application must ensure data privacy and security for user accounts and interactions.

10. Tech Stack

• Frontend: React for Web
• Backend: Python with FastAPI
• Database: MongoDB for storing user data and interaction logs
• AI Models: GPT 5.4 for generating user-friendly responses
• AI Tools: Litellm for LLM Routing
• Local Orchestration: Docker
• Server-side Orchestration: Kubernetes

11. Assumptions and Constraints

• The application assumes users have an active Instagram account and the necessary permissions to automate interactions.
• The system is constrained by Instagram's API rate limits and policies.
• The application will operate in the Central Time Zone (CT) for scheduling automated responses.

12. Glossary

• DM: Direct Message
• API: Application Programming Interface
• UI: User Interface
• CTA: Call to Action
• LLM: Large Language Model