A portable scaffold for structuring human–AI collaboration, preserving context and reducing drift across sessions and tools.
Interactive educational visualizations and system models exploring AI workflows, inference, recoverability, and operational continuity.
Structured documentation for the Tiinex system, covering the inference model, system architecture, and design principles.
VS Code tools for building and controlling structured AI workflows with reduced drift and improved consistency.
Add a description, image, and links to the recoverable-workflows topic page so that developers can more easily learn about it.
To associate your repository with the recoverable-workflows topic, visit your repo's landing page and select "manage topics."