Clarity before scale.

An open research program and community developing compact, typed, repairable ways for people and AI systems to specify tasks across unequal representational abilities.

A pidgin is a practical bridge across expressive gaps. The analogy is functional, not a claim that human languages are deficient. The goal is a shared task interface that can grow through use and repair.

Esperanto represents the aspiration for a learnable common bridge. Machine Pidgin is narrower: it targets human–AI task specification, not general human culture or conversation.

No. Prompt engineering is one implementation surface. The research question is which task-relevant distinctions must cross the channel, how much they cost a person to express, and when clarification is worth asking.

Shared Pidgin for Expressive Abstraction and Requirements.

Not yet. SPEAR/0.1 is an experimental proposal. A standard would require stable semantics, implementations, interoperability tests, governance, and broad external adoption.

Yes. It is model- and vendor-agnostic. Use the LLM handoff prompt on the Protocol page to establish the interpretation contract.

No. Omitted fields should remain visibly unresolved. The receiver should ask only when the expected value of an answer exceeds the cost of interruption.

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