Convert natural language problem descriptions into executable XState machines with AI-driven task decomposition
How It Works
X-Reason transforms natural language problem descriptions into executable XState machines through AI-powered task decomposition. Simply describe what you want to build, and the system generates a complete state machine with error handling, transitions, and context management.
Technical Process
Problem Analysis
AI analyzes your problem description and identifies key components, requirements, and constraints.
Task Decomposition
Complex problems are broken into atomic tasks with clear inputs/outputs and dependencies.
State Machine Generation
Generates production-ready XState v5 machines with error handling, parallel execution, and persistence support.
Built-in Visualization
Every generated machine includes a floating visualization widget for real-time debugging and state inspection.
Architecture
AI Reasoning Engine
Multi-provider AI (OpenAI GPT-4o, Gemini 2.0) for task analysis and decomposition
State Machines
XState v5 with pause, resume, and persistence
Backend Storage
Local memory (with planned support for Palantir OSDK and Convex)