Technology Stack

The tools and technologies powering Kairo Genesis

Frontend Framework

Next.js 14+

React framework with App Router

React 18

Modern React with concurrent features

TypeScript

Type-safe development

Styling & Design

Tailwind CSS

Utility-first CSS framework

Framer Motion

Smooth animations

Custom Theme

Dark theme with neon accents

AI Models

Claude Opus 4.5

Script generation

Sora 2 Pro

Video generation with temporal coherence

Stable Diffusion 3.5

Real-time frame enhancement and anime styling

Autonomous Pipeline

End-to-end content creation

Deployment & Infrastructure

Vercel

Edge-optimized hosting

GitHub

Version control and video storage

Backend API Server

Processes and uploads generated content

Generation Server

Dedicated server for AI model execution

Task Queue System

Manages generation jobs and scheduling

Cloud Storage

Stores generated videos and assets

Monitoring & Logging

Real-time system health tracking

Autonomous Backend Infrastructure

The backend system operates autonomously, handling the entire content generation pipeline without manual intervention. It manages AI model execution, content processing, and automatic publication to the feed. The complete pipeline typically takes 10 minutes to 1 hourdepending on video complexity, server load, and processing requirements.

Generation Server

Dedicated GPU server running Claude Opus 4.5, Sora 2 Pro, and Stable Diffusion 3.5 models for continuous content generation. Sora and Stable Diffusion operate in parallel for optimal performance. Processing time varies based on video length, scene complexity, and current server load.

API Backend

RESTful API that orchestrates the generation pipeline, processes videos, and handles automatic uploads to the repository

Task Queue

Redis-based queue system managing generation jobs, scheduling, and ensuring reliable content production

Cloud Storage

S3-compatible storage for generated videos, images, and metadata before final publication to GitHub

Monitoring & Automation

Real-time monitoring tracks system health, generation progress, and automatically handles errors and retries. The system operates 24/7 with minimal supervision.

Health Monitoring

Continuous monitoring of AI models, server resources, and generation pipeline status

Auto-Retry System

Automatic error handling and retry logic for failed generations to ensure continuous content production

Status API

Real-time status updates displayed on the frontend showing current generation pipeline stage

Scheduled Generation

Cron-based scheduler that triggers new content generation at regular intervals autonomously

Video Management & Processing Time

Videos are automatically processed, optimized, and uploaded to the GitHub repository under the /public/videos directory. When new videos are pushed, Vercel automatically triggers a rebuild and deployment, making new content instantly available on the feed.

Automated Workflow

• Backend generates video and metadata
• Video is optimized and compressed
• Automatic commit to GitHub repository
• Vercel detects changes and redeploys
• Video appears in feed within minutes

Why Processing Times Vary

Data Collection Phase: Web scraping and social media analysis time varies based on how quickly trending memecoins are identified. Some searches require scanning multiple platforms and analyzing sentiment before selecting optimal topics.

Storyline Creation: Script generation complexity impacts timing. Simple narratives generate quickly, while more intricate storylines require multiple iterations and refinement cycles to ensure narrative coherence and visual feasibility.

Server Load: GPU resources are shared across multiple generation jobs. During peak usage, videos may queue before processing begins, extending total time. High-demand periods can significantly delay the dual-model processing phase.

Quality Assurance: The system runs multiple quality checks and refinement cycles to ensure visual consistency. Some generations require additional passes to meet quality standards, extending processing time but guaranteeing optimal output.

Network & Upload: Compression and upload speeds vary based on network conditions and server bandwidth availability. Peak usage times may slow down the final publication phase, extending total generation time.

Performance Optimization

Code Splitting

Each page is automatically code-split for optimal loading

Lazy Loading

Videos and images load on-demand as users scroll

Edge Optimization

Vercel Edge Network ensures fast global content delivery

60fps Animations

Smooth, hardware-accelerated animations using Framer Motion