System Requirements Document (SRD)

Project Name: stone-ai

1. Introduction

The stone-ai project, envisioned by Ajay Thakor, is an ambitious initiative to create an AI-powered platform that centralizes all AI functionalities into a single, universally helpful system. This platform will act as an AI wrapper, integrating various tools and technologies to simplify user interactions with AI. The primary goal is to empower users with a safe, efficient, and intelligent system that can assist with tasks, identify fraudulent apps, and guide users toward genuine earning opportunities.

Ajay's vision for stone-ai is to address the growing concerns around fake apps and scams while leveraging AI to provide education, verification, and productivity tools. This document outlines the system requirements for the development of stone-ai, ensuring it aligns with the project's objectives and user needs.

2. System Overview

The stone-ai platform will act as an all-in-one AI hub, providing users with tools to:

• Detect and avoid fake or harmful apps.
• Access verified and genuine earning apps.
• Learn how to use apps effectively through educational resources.
• Automate tasks and improve productivity using AI.
• Foster a community-driven ecosystem for sharing reviews and experiences.

The system will leverage advanced AI models and tools to deliver a seamless and secure user experience. It will cater to individuals seeking earning opportunities, businesses looking to integrate AI solutions, and developers aiming to centralize their AI functionalities.

Key features include:

• AI-powered app verification and fraud detection.
• Educational content and tutorials.
• Community-driven reviews and ratings.
• Task automation and productivity tools.

The platform will prioritize user safety, accessibility, and efficiency, ensuring it meets the diverse needs of its target audience.

3. Functional Requirements

• As a User, I should be able to verify the authenticity of apps using AI.
• As a User, I should be able to access a curated list of genuine earning apps.
• As a User, I should be able to view educational resources and tutorials about app usage.
• As a User, I should be able to receive AI-based alerts for suspicious apps.
• As a User, I should be able to share reviews and experiences about apps.
• As a User, I should be able to automate repetitive tasks using AI tools.
• As an Admin, I should be able to manage the app verification process.
• As an Admin, I should be able to moderate community reviews and flag inappropriate content.
• As a Developer, I should be able to integrate my AI solutions into the platform.

4. User Personas

1. Individual Users

• Description: People seeking genuine earning opportunities through apps.
• Goals: Verify apps, learn how to use them, and avoid scams.
• Needs: Easy-to-use interface, educational resources, and fraud detection tools.

2. Administrators

• Description: Platform managers responsible for maintaining the system.
• Goals: Ensure the platform's integrity, manage app verification, and moderate content.
• Needs: Administrative tools for monitoring and managing the platform.

3. Developers

• Description: Developers looking to integrate their AI solutions into the platform.
• Goals: Leverage the platform's capabilities to enhance their AI tools.
• Needs: APIs and documentation for seamless integration.

5. Visuals Colors and Theme

Unique Color Palette for stone-ai:

• Background: #F3F4F6 (Soft Mist Gray)
• Surface: #DCE4E8 (Gentle Ice Blue)
• Text: #1F2937 (Charcoal Black)
• Accent: #3B82F6 (Bright Sapphire Blue)
• Muted Tones: #9CA3AF (Muted Steel Gray)

This palette reflects a clean, professional, and trustworthy aesthetic, aligning with the platform's mission to provide a safe and reliable AI-powered environment.

6. Signature Design Concept

The stone-ai homepage will feature an Interactive AI Galaxy.

Concept Details:

• Visuals: A dynamic, 3D galaxy map where each star represents a feature or section of the platform. Users can navigate the galaxy by clicking on stars, which expand into detailed information about the feature.
• Animations: Stars will glow and pulse subtly, creating a sense of life and energy. When a star is clicked, it zooms in with a smooth transition, revealing the feature's details.
• Color Shifts: The galaxy background will shift hues based on the time of day (e.g., soft blues in the morning, warm oranges in the evening).
• Interactions: Micro-interactions like hover effects, tooltips, and sound cues will enhance user engagement.
• First Impression: The homepage will immediately captivate users, making them feel like they are exploring a futuristic AI universe.

This bold and eccentric design will make stone-ai unforgettable, setting it apart from conventional platforms.

7. Non-Functional Requirements

• The platform must support at least 1 million concurrent users.
• Response time for AI-based app verification should not exceed 2 seconds.
• The system must comply with data privacy regulations (e.g., GDPR, Indian IT Act).
• The platform should be accessible on both web and mobile devices.
• Downtime should not exceed 0.01% annually.

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly interactions
• Google Nano Banana for image generation

AI Tools

• Litellm for LLM Routing
• Langchain

Orchestration

• Docker and docker-compose for local orchestration
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

• Users will have basic digital literacy to navigate the platform.
• The platform will initially target the Indian market, with plans for global expansion.
• The system will rely on third-party APIs for app verification and fraud detection.
• Internet connectivity is required for all platform functionalities.

10. Glossary

• AI Wrapper: A platform that integrates multiple AI tools and functionalities into a single system.
• Fraud Detection: The process of identifying fake or harmful apps using AI.
• LLM Routing: A method for directing queries to the most appropriate large language model.
• Orchestration: The automated arrangement and coordination of systems and services.