What is Intenture?

Canonical Definition

Intenture is a language that helps humans express intent in a form necessary and sufficient for unambiguous AI understanding, subsequent realization, and further development.

In a more formal sense:

Intenture is a formal semantic linguo-graphical language for intent explication, designed for precise human-AI interaction in creating, analyzing, developing, and realizing intent. intenture (lowercase) is the phenomenon of intent itself - the inner pre-realized shape of creation: an integral unity of intent, conception, vision, and the will to embody them.

Core Distinction

• Intenture - the name of the language.
• intenture - intent as a phenomenon, the object of expression, explication, modeling, and realization.

What Intenture Is NOT

• Not prompt engineering
• Not a bureaucratic form
• Not a natural language replacement
• Not pure technical notation
• Not description-only without operational consequence

Core Principles

Intenture must:

• Reduce human cognitive load when articulating complex intents
• Increase AI interaction precision through structured explication
• Preserve semantic invariant between Human-facing and AI-facing forms
• Enable transition from intent to realization via systematic process
• Support evolution via feedback loops

Language Architecture

Intenture operates on a dual-layer syntax:

Human-facing form - natural, semi-structured, visual. Written in the human's language.

AI-facing form - canonical, unambiguous, normalizable. Uses Intenture terms in English regardless of document language.

The 17 canonical terms (Intent, Object, Constraint, Value, Actor, Intenture Portfolio, Intenture Portfolio Map, etc.) are always preserved in English.