Chewing Science to the World. 'JA-to-EN Translation System Operation and Prompt Design' for Global Expansion of Evidence-Based Health Content

The medical evidence regarding “Chewing (Mastication)” dispatched from Japanese research institutions boasts world-class accuracy and accumulation. However, practical biohack content based on that knowledge (for example, post-meal DIT explosion or autonomic nervous system buffering methods) is blocked by the language barrier of Japanese and hardly reaches the global health-conscious demographic (biohackers and athletes).

In order to translate the “GIGAZINE-esque hardcore chewing science article group” we have built into English exactly as it is and expand it into a global content cluster, simply pouring it into a translation tool (like DeepL) is insufficient. It is essential to design a “dedicated AI translation pipeline (prompt queue)” that perfectly aligns “scientific accuracy (guarantee of evidence)” with the “sensational tone and manner (T&M) peculiar to hacker culture.”

The “3-Stage Prompt Queue” That Reduces Automatic Translation Rework to Zero

When expanding articles into multiple languages (English), a person-dependent operation where a translator manually adjusts the nuances will not scale. By having an AI (LLM) process the following 3-stage queue (instruction manual) as a prompt chain, English text that completely maintains the GIGAZINE flavor is automatically generated (mass-produced).

1. [Phase 1] Lock and Isolate “Evidence IDs (Facts)”

• Structure of the Bug: During translation, AI tends to arbitrarily interpret the original literature data (for example, the DIT increase mechanism in E03 or the sympathetic nerve response in E05) and rewrite them into soft expressions like “it might be ~” or “it is said to be ~.”
• Instruction Prompt: “Descriptions of physiological mechanisms (sympathetic nerve, histamine, serotonin, insulin, etc.) linked to evidence IDs (E01 to E14) within the target text must be translated in a declarative form (e.g., ‘triggers,’ ‘forces,’ ‘completely blocks’) as ‘Scientific Facts.’ Paraphrasing into speculative expressions is strictly prohibited.”

2. [Phase 2] Tuning to the “Hacker Tone (GIGAZINE Flavor)”

• Structure of the Bug: If translated literally, it becomes a boring summary of a medical paper like “There are research results saying ~. Therefore, we recommend ~,” causing readers to drop off.
• Instruction Prompt: “Set the writing style (Tone & Voice) to a ‘cutting-edge biohack manual written by a Silicon Valley biohacker.’ Frequently use the ‘Imperative mood (Do ~)’ and actively apply aggressive metaphors and IT terminology such as ‘Bug (Flaw/Bug),’ ‘Hack (Intervention/Hack),’ ‘Infrastructure (Foundation),’ and ‘Hard Reset (Shutdown).‘“

3. [Phase 3] “Elimination of Redundancy” and “Bottom Line Up Front”

• Structure of the Bug: The “introduction, development, turn, and conclusion” specific to Japanese and the length of the preamble are judged as “spam articles with a slow conclusion” by readers in the English-speaking world (especially the tech demographic).
• Instruction Prompt: “Always place the ‘conclusion of behavioral change (What to do and Why)’ provided by that paragraph at the beginning (topic sentence) of the paragraph. Delete all ambiguous modifiers in Japanese, and propel the text solely with the impact force of the Subject and Verb.”

By incorporating this translation queue (rule set) into a CLI or script (for example, a batch process in Python), the 100 “chewing hack articles” written in Japanese will be automatically deployed as a powerful evidence weapon (group of English articles) directed at the world the very next day. This is the moment when Japanese chewing science is upgraded from local health information to a “global biohack.”