BrainOS System Requirements Document

Introduction

BrainOS is an AI-powered company knowledge platform designed to transform scattered knowledge from various tools like Slack, Notion, Gmail, GitHub, and Jira into a living knowledge graph and executable AI skills for autonomous AI agents. This document outlines the system requirements for developing a modern, premium SaaS landing page for BrainOS, focusing on enterprise trust, AI-first workflows, and modern visualizations.

System Overview

BrainOS aims to provide a seamless integration of company knowledge into a unified platform, enabling businesses to leverage AI for enhanced productivity and decision-making. The platform will feature a clean, futuristic design with smooth animations and glassmorphism, inspired by industry leaders such as Linear, OpenAI, and Stripe.

Functional Requirements as Story Points

• As a User, I should be able to understand how BrainOS transforms scattered knowledge into a living knowledge graph.
• As a User, I should be able to see how BrainOS creates executable AI skills for autonomous AI agents.
• As a User, I should be able to view sections detailing the Problem, Solution, Features, How It Works, and Integrations.
• As a User, I should be able to access a strong CTA ("Get Early Access") to engage with BrainOS.
• As a User, I should experience a clean, futuristic design with smooth animations and glassmorphism.
• As a User, I should be able to view modern visualizations of knowledge graphs and AI agents.

User Personas

• Admin: Responsible for managing the BrainOS platform, overseeing integrations, and ensuring data security.
• User: Employees or team members who interact with BrainOS to access and utilize company knowledge.
• Guest: Potential clients or stakeholders exploring BrainOS capabilities and considering adoption.

Core User Flows

• User visits the landing page -> Understands the problem BrainOS solves -> Explores features and integrations -> Engages with CTA for early access.
• Admin configures integrations with tools like Slack, Notion, and GitHub -> BrainOS aggregates data into a knowledge graph -> AI agents utilize the graph for decision-making.

Visuals Colors and Theme

• primary: #1A73E8 (a modern blue representing trust and innovation)
• primary_light: #E8F0FE (a lighter tint of primary for hover states)
• secondary: #34A853 (a green accent for success and growth)
• accent: #FBBC05 (a vibrant yellow for CTAs and highlights)
• highlight: #EA4335 (a red for notifications and active states)
• bg: #FFFFFF (a clean white background)
• surface: #F1F3F4 (a subtle grey for card/panel backgrounds)
• text: #202124 (a dark grey for primary text)
• text_muted: #5F6368 (a softer grey for secondary text)
• border: #DADCE0 (a light grey for accessible borders)

Signature Design Concept

The BrainOS landing page will feature an interactive knowledge graph visualization as its signature design concept. Users will see a dynamic, animated graph where nodes represent different knowledge sources (e.g., Slack, Notion) and edges illustrate the connections and transformations into AI skills. As users hover over nodes, they will expand to show detailed information, and clicking will trigger smooth transitions to related sections of the page. This concept will be implemented using motion/react for animations and d3 for graph visualization.

Landing Hero Motion Brief

The hero section will depict a transformation story: scattered data inputs (icons of Slack, Notion, etc.) converge into a central BrainOS node, which then radiates AI skills to various endpoints. This 2D composition will use motion/react for continuous animation, with layers including input icons, the BrainOS node, and AI skill endpoints. The animation will loop every 10 seconds, with interactive elements allowing users to explore specific transformations. The reduced-motion state will maintain a static, informative graphic.

Interaction Model & Motion Direction

The landing page will use an "animated" interaction model, featuring scroll-triggered reveals, hover transitions, and spring physics on interactive elements. This approach will provide a polished, engaging experience that highlights BrainOS's capabilities and encourages user interaction.

Non-Functional Requirements

• The landing page must be fully responsive and accessible across all devices and screen sizes.
• The design should adhere to modern web standards and best practices for performance and SEO.
• The platform must ensure data privacy and security, complying with relevant regulations.

Tech Stack

• Frontend: React for Web, utilizing Tailwind CSS and shadcn/ui for styling.
• Backend: Python with FastAPI for API development.
• Database: MySQL or MariaDB, using Alembic for migrations.
• AI Models: GPT 5.4 for user-friendly responses, Claude Sonnet 5 for academic or coding work, Gemini 3.1 pro for friendly responses, Google Nano banana for image generation.
• AI Tools: Litellm for LLM Routing, Langchain.
• Local Orchestration: Docker, docker-compose.
• Server-side Orchestration: Kubernetes.

Assumptions and Constraints

• The platform will primarily target enterprise clients, emphasizing trust and reliability.
• Integration with tools like Slack, Notion, and GitHub is assumed to be straightforward and well-documented.
• The design and development process will prioritize user experience and engagement.

Glossary

• AI Agent: An autonomous entity that uses AI to perform tasks and make decisions.
• Knowledge Graph: A network of interconnected data points representing company knowledge.
• CTA: Call to Action, a prompt for users to engage with the platform.
• Glassmorphism: A design trend featuring translucent elements with a frosted-glass effect.