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Project Kaizen debuts dual-lane AI stack

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Project Kaizen debuts dual-lane AI stack
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// 2h agoPRODUCT LAUNCH

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.

// ANALYSIS

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.

// TAGS
ai-orchestrationlocal-firstprivacymcpcybersecurityassistant-stack

DISCOVERED

2h ago

2026-07-09

PUBLISHED

2h ago

2026-07-09

RELEVANCE

6/ 10

AUTHOR

shawnmccallaX