translation-discipline

To remove internal jargon from user-facing AI communication, apply a translation checklist that replaces commit SHAs, internal IDs, and technical paths with plain language descriptions, improving message clarity and professionalism.

Preventing technical artefact references from leaking into customer reports involves translating internal codes and abbreviations into accessible language, ensuring technical details are explained clearly without exposing internal system markers.

Your AI assistant includes internal codes in status updates because it lacks a translation discipline to filter technical artefacts, requiring a specific rule set to replace internal pointers with understandable descriptions for end users.

You can translate internal abbreviations into plain language for end users by applying a dedicated translation discipline checklist that identifies and replaces internal references with user-centered language during message drafting.

This translation discipline works for user-facing messages where AI communicates results, status updates, or explanations, ensuring responses avoid internal codes, abbreviations, and technical paths unless explicitly requested by the user.

You should not use a jargon translation approach when users explicitly request internal codes, commit SHAs, or technical paths, as this discipline is designed to replace those exact internal references with plain language descriptions.