Project Kaizen debuts dual-lane AI stack
Project Kaizen is a local-first AI orchestration platform and private assistant stack designed to separate public interactions from sensitive personal workflows. Using Model Context Protocol connectors, it provides a restricted public chat interface alongside a private assistant for home operations and system automation.
Designing AI systems with hard trust boundaries is the only viable path forward for integrating LLMs into private environments and home automation. By separating public-facing interactions from private orchestrations, Kaizen mitigates the risk of prompt injection and data leaks.
* Strict Trust Boundaries: Separates public-facing lanes from internal system controls.
* Local-First Architecture: Ensures user data privacy by executing workflows locally rather than relying entirely on cloud endpoints.
* Model Context Protocol (MCP): Supports modular integration with external services and data sources safely.
DISCOVERED
2h ago
2026-07-09
PUBLISHED
2h ago
2026-07-09
RELEVANCE
AUTHOR
shawnmccallaX