System Requirements Document (SRD) for autumn-automation

1. Introduction

The autumn-automation project is designed to streamline the process of generating and publishing articles automatically. This system will cater to users in India (IN) and is tailored to automate article creation based on the latest industry-specific news. By leveraging advanced APIs and automation tools, the system will ensure timely, accurate, and easy-to-read content is published on the user's website every Monday and Thursday.

2. System Overview

The autumn-automation system is an intelligent automation tool that simplifies content creation for users. It operates by:

• Triggering an automated process every Monday and Thursday.
• Fetching the latest news from the past 72 to 84 hours using APIs such as DuckDuckGo or Gemini.
• Generating articles in simple, easy-to-understand language tailored to the user's industry.
• Automatically publishing the generated articles on the user's website.

This system eliminates the need for manual article creation, ensuring consistency, timeliness, and relevance in content delivery.

3. Functional Requirements

• As a User, I should be able to set my industry preferences for article generation.
• As a User, I should be able to view the generated articles before they are published (optional override).
• As a User, I should be able to configure the automation schedule (default: Monday and Thursday).
• As a System, it should fetch the latest news from the past 72 to 84 hours using APIs like DuckDuckGo or Gemini.
• As a System, it should generate articles in simple, easy-to-understand language.
• As a System, it should automatically publish the generated articles on the user's website.

4. User Personas

1. User

• Description: The primary user of the system, typically a website owner or content manager.
• Goals: Automate article creation and publishing to save time and maintain consistent content updates.
• Pain Points: Manual content creation is time-consuming and inconsistent.

5. Visuals Colors and Theme

The visual theme for autumn-automation should reflect simplicity, professionalism, and automation. The following color palette is recommended:

• Primary Color: Autumn Orange (#FF7F50) – Represents energy and creativity.
• Secondary Color: Deep Brown (#8B4513) – Symbolizes reliability and stability.
• Accent Color: Soft Yellow (#FFD700) – Adds a touch of brightness and optimism.
• Background Color: Off-White (#F5F5F5) – Ensures readability and a clean interface.

Typography:

• Headings: Sans-serif font (e.g., Open Sans, bold).
• Body Text: Serif font (e.g., Georgia, regular).

6. Signature Design Concept

The autumn-automation homepage will feature an interactive "Autumn Leaves" animation. Upon landing on the page, users will see a dynamic scene of autumn leaves gently falling across the screen. Each leaf will represent a key feature of the system (e.g., "Automated Scheduling," "Industry-Specific Content," "API Integration").

Details:

• Animation: Leaves will float down in a natural, randomized pattern, with subtle hover effects that display feature descriptions when clicked.
• Interaction: Users can "swipe" or "drag" leaves to reveal additional features or navigate to specific sections of the website.
• Transitions: Smooth fade-ins and slide-ins for text and images as users scroll.
• Micro-interactions: Buttons and icons will have a "bounce" effect when clicked, reinforcing the theme of energy and creativity.
• Mood: The overall aesthetic will evoke a sense of calm productivity, aligning with the autumn theme.

This unique design will make the website memorable and engaging, leaving a lasting impression on users.

7. Non-Functional Requirements

• The system should operate in the Indian timezone (IST).
• The system should ensure articles are generated and published within 10 minutes of the scheduled trigger.
• The system should handle up to 100,000 users concurrently.
• The system should ensure data security and comply with GDPR and local Indian data protection regulations.
• The system should have 99.9% uptime reliability.

8. Tech Stack

Frontend

• React for Web

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.2 for user-friendly article generation
• Gemini 3 Pro for fetching industry-specific news

AI Tools

• Litellm for LLM Routing
• Langchain for workflow orchestration

Local Orchestration

• Docker
• docker-compose

Server-Side Orchestration

• Kubernetes

9. Assumptions and Constraints

Assumptions

• Users will provide their industry preferences during initial setup.
• The system will have access to APIs like DuckDuckGo or Gemini for fetching news.
• Users' websites will support automated publishing via API or CMS integration.

Constraints

• The system must operate within the Indian timezone (IST).
• The system must comply with Indian data protection laws.
• The system should only fetch news from the past 72 to 84 hours.

10. Glossary

• API: Application Programming Interface, used for fetching external data.
• CMS: Content Management System, a platform for managing website content.
• IST: Indian Standard Time.
• LLM: Large Language Model, used for generating human-like text.
• GDPR: General Data Protection Regulation, a data protection law in the EU.

End of Document