Building AI-Native Systems

Aime Technologies builds runtime infrastructure and intelligent agents designed for real-time collaboration between humans and AI.

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AI-Native Architecture

Interfaces are represented as structured data, not hard-coded views.
Actions and handlers are serializable so AI can reason about them safely.
State is formalized and observable, enabling deterministic runtime behavior.
Events drive updates across clients, services, and AI agents in real time.

Xpell 2 Alpha

Xpell 2 Alpha is our current runtime foundation for AI-native systems. The focus is simple: explicit models, serializable behavior, and predictable collaboration loops.

Projects

Xpell

Runtime platform for structured state, event-driven execution, and AI collaboration workflows.

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AIME

Reference AI agent experiment used to test architecture decisions and runtime behavior.

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VIBE

UX layer planned on top of Xpell 2. Design and product details will come later.

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Latest from the Blog

February 22, 2026

What AI-Native Architecture Means in Practice

Plain-language principles for building systems where humans and AI share runtime context.

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February 15, 2026

Xpell 2 Alpha: Runtime Direction

An overview of the current package hierarchy and near-term goals for the platform.

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