MVP Readiness
90%
The core project intelligence foundation is complete, including workspaces, projects, conversations, knowledge, files, memory, tasks, agents and AI model selection.
Orhan AI • AI Operating System / Project Intelligence Platform
The AI operating system that keeps every project in context.
Orhan AI brings conversations, knowledge, files, memory, tasks, AI agents, and multiple AI models into one persistent project workspace.
Unlike a traditional chatbot, Orhan AI organizes intelligence around projects. Every project maintains its own conversations, permanent knowledge, indexed files, durable memory, tasks, agents, and AI configuration.
MVP complete and preparing for production launch
MVP readiness is approximately 90%. Production readiness is approximately 75-80%. Remaining work focuses on provider validation, streaming, advanced retrieval, team collaboration, hosting and launch hardening.
Production Readiness
75-80%
Production preparation remains focused on live provider acceptance testing, streaming responses, vector retrieval, collaboration, hosting, monitoring and final acceptance testing.
Product Strategy
Project context is the product.
Orhan AI is designed around persistent project intelligence rather than isolated prompt sessions. Files, decisions, facts, tasks and agent runs stay attached to the project, giving the AI a broader operating context over time.
Project Intelligence Layer
Conversations
Permanent knowledge
Indexed files
Durable memory
Tasks
AI agents
Model configuration
Contextual retrieval
Implemented Capabilities
A working AI workspace foundation.
Secure authentication and account management
Automatic workspace creation
Project creation, settings, archiving, and restoration
Project-based AI conversations
OpenRouter AI integration
Multiple selectable AI models
Permanent project knowledge
Project file uploads and text extraction
Indexed file retrieval
Project memory with facts, preferences, decisions, and instructions
Project search and contextual retrieval
Retrieval-augmented generation
Markdown response rendering
AI tasks and configurable agents
Background agent execution
Responsive workspace interface
Authorization, rate limiting, security headers, and readiness monitoring
Automated application test coverage
System Architecture
Laravel-first AI orchestration with controlled provider access.
The backend keeps project authorization, context assembly, prompt execution, file retrieval and agent runs behind controlled application services before reaching OpenRouter.
Technology
Laravel 12
PHP 8.2
Blade
Tailwind CSS
Alpine.js
MySQL
OpenRouter
Laravel queues
Vite
Inter
Core Flow
User
Workspace
Project
Conversations
Knowledge
Files
Memory
Tasks
Context Engine
Selected AI Model
AI Response or Agent Run
Remaining Production Work
MVP complete does not mean production finished.
Orhan AI should not be presented as 100% complete. Production launch preparation still needs provider validation, infrastructure, monitoring, performance checks and final acceptance testing.
Live OpenRouter provider acceptance testing
Streaming AI responses
Advanced syntax highlighting
Vector embedding retrieval
Team roles and workspace collaboration
Production hosting and HTTPS configuration
Monitoring, backups, queue supervision, and alerting
Load testing and final browser-based acceptance testing
Detailed Product Study
See how Orhan AI was designed as a persistent project intelligence platform.
The case study covers the problem, product strategy, system architecture, context model, retrieval, memory, agents, security and production roadmap.