Technical Whitepaper – Kuzai.org (2025)

1. Introduction

In the context of the explosion of accessible artificial intelligence solutions online, Kuzai.org positions itself as an open initiative aiming to structure, classify, and contextualize all AI tools available on the market. This whitepaper presents the current technical state of the platform and outlines its future development directions, both functional and infrastructural.

2. Objective and Current Architecture

Kuzai.org was designed to meet a fundamental need: providing a unique, organized, and neutral entry point for all users facing the fragmentation of the AI ecosystem. Unlike commercial directories or overloaded marketplaces, Kuzai.org adopts a transparent and categorized technical indexing approach.

2.1 Features in Production

• Search engine filtered by usage (image generation, text summarization, OCR, NLP, etc.)
• Detailed AI tool sheets (publisher, official site, model used, license, cost)
• Navigation by technical tags (open source, available API, GPT model, etc.)
• Categorization by type (visual, audio, video, development, assistant, etc.)
• Lightweight web interface compatible with mobile devices
• Basic web security: HTTPS, secure HTTP headers, Apache with ModSecurity enabled

2.2 Technical Stack

• Backend: PHP 8.2 (architecture currently migrating to Laravel)
• Frontend: HTML5, CSS3, Bootstrap (progressive move to Tailwind)
• Database: MariaDB, with a schema optimized for taxonomy-based search
• Infrastructure: Debian Linux VPS, secure LAMP stack (SSL, WAF, fail2ban)
• System administration: manual deployment via shell / rsync, no automated CI/CD yet

3. Identified Limitations and Constraints

• Lack of intelligent search engine: the current search is classic full-text, without embedded LLM.
• No user management yet: no personalization or community rating.
• Slow manual indexing: adding AI tools is semi-automated but requires human validation.
• No public API for third-party integration or automated export.
• No dedicated web admin interface; updates are done via command line.

4. Roadmap and Planned Technical Evolutions

4.1 Planned Features (Q4 2024 - Q1 2025)

• Optional user accounts (favorites, voting, comments)
• Multi-criteria community rating: UX, performance, ethics, cost
• AI recommendation engine (LLM-guided search)
• Intelligent navigation assistant (embedded chatbot type)
• Interactive comparison tables between selected tools
• Export of search results in CSV / PDF / JSON

4.2 Infrastructures and Tools to Integrate

• Complete migration to Laravel with strict MVC separation
• Implementation of lightweight CI/CD (GitHub Actions or GitLab CI)
• Switch to Docker for easier deployment and scalability
• Integration of a search engine like Meilisearch or ElasticSearch
• Deployment of Python pipelines for automated indexing (scraping + enrichment with open source LLM)

5. Openness and Community Collaboration

True to its philosophy, Kuzai.org is an open, interoperable, and community-driven project. Development of some functional components will be published under free license, including:

• The standardized .kuzai.json index format
• The AI metadata parser
• The ethical scoring engine (beta planned for early 2025)

A public Git space is being prepared to host external contributions, code audits, and community tool sheets.

6. Conclusion

Kuzai.org is not just a simple list of AI links. It is a methodical attempt to map the chaotic world of artificial intelligence tools, with a requirement for readability, transparency, and quality. The initiative currently stands at a technological crossroads: built on a stable but still artisanal base, it aims for a progressive evolution towards an intelligent, open, and collaborative platform.

The coming months will be decisive to structure this evolution. Any contribution, support, or partnership is welcome.

Contact

Kusanagi8200
Project Manager & System Administrator
Contact / admin@kuzai.org
🌐 https://kuzai.org