Refactoring English: A mathematically compressed dialect to bridge the gap between human and machine logic.

As developers, we spend all day writing strict, strongly-typed logic. If an API returns a vague string instead of a boolean or a defined integer, the system breaks. Yet, when we step away from the IDE and talk to each other—or increasingly, when we prompt Artificial Intelligence—we use a legacy system riddled with bugs: Standard English. We use "null" values like "soon." We use subjective variables like "probably." We use floating, scaleless metrics like "almost done." AI has exposed just how inefficient our language is. When you prompt an LLM with subjective idioms, it hallucinates timelines. When humans speak to each other with them, we misalign on expectations. To bridge the gap between human thought and machine execution, we need an API for human communication. So, I built one. Englicode is a mathematically compressed, Base-10 dialect of English. It treats daily communication the way we treat software inputs: strict, measurable, and scalable. Here is how the architecture works, usi