Event–Invariant Language (EIL)

Frameworks for lossless AI-to-AI communication

Research Question

Why hasn't anyone asked what the most native language is for AIs? Lossless AI-to-AI communication is fundamental but overlooked in current AI development.

Core Concept

Event–Invariant Language (EIL) is a structured way to express intent and meaning that remains stable across paraphrase, summarization, translation, and handoff between models or contexts. It's not code—it's for constraining interpretation, not execution.

Key Innovation

EIL provides semantic anchors that reduce ambiguity and drift. The highest priority element is invariants—truths that must hold across any transformation or handoff. When natural language conflicts with EIL invariants, the invariants take precedence.

Structure

EIL uses labeled fields enclosed in double brackets, such as:

• ⟦event⟧ - What's happening
• ⟦agent⟧ - Who is acting
• ⟦intent⟧ - What must be achieved
• ⟦invariants⟧ - What must remain true
• ⟦constraints⟧ - What limits are in place
• ⟦closure⟧ - What defines completion

Applications

Exploring frameworks over one-off implementations. EIL enables:

• Lossless handoff between AI systems
• Persistent intent across model generations
• Reduced ambiguity in complex workflows
• Stable meaning across translation and compression

Status

Active research and specification development. Open to collaboration and implementation partnerships.