Intent-Based Design

A design philosophy that treats source text as material for understanding intent, not as the structure to preserve. AI-Native Localization Framework is IC Eight's implementation of this philosophy for Japanese localization.

AI-Native Localization Framework

IC Eight's approach to localization: designing a system for generating Japanese UX and content from intent, product context, constraints, validation criteria, and human judgment — rather than translating source text sentence by sentence. It starts from the intent of the content, its purpose or goal, not from the English source.

Intent-Based Generation

The core method inside the AI-Native Localization Framework. Intent-Based Generation extracts the intent of the content, its purpose or goal, and generates Japanese UX and content from that intent, instead of translating source text line by line. Source content is used as input to determine that intent, but the generation target is that intent, not sentence-level correspondence with the English.

Four-Layer Workflow

IC Eight's operational model for Intent-Based Generation. It separates four functional layers — Intent, Generation, Evaluation, and Judgment — so AI-generated localization remains controllable. AI handles generation and evaluation at scale. Human judgment handles what actually matters: deciding what to keep, fix, cut, or regenerate.

Controlled Generation

Using AI to generate localized content within defined intent, constraints, voice direction, validation criteria, and human judgment points. Controlled Generation is what distinguishes IC Eight's workflow from open-ended AI translation: the conditions under which AI generates are designed in advance, not improvised at the prompt level.

For the full definitions and how these concepts relate to each other, see AI-Native Localization Framework and Intent-Based Generation: IC Eight's Definitions →