✨jAI as a Copilot for Word Contribution in Jargons Editor

# Implementation

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# Summary

Integrate **✨jAI** directly into the Jargons Editor as a contribution copilot. This feature will guide contributors while drafting new word entries, providing AI-suggested definitions, context, examples, and structure to lower the barrier to contributing.

# Motivation

Currently, contributing to the dictionary requires users to write out the full definition and metadata from scratch. This can be intimidating or time-consuming, especially for first-time contributors. By embedding **✨jAI** as a copilot, we can:

* Make contributions faster and easier.
* Encourage more users to submit new words.
* Improve quality and consistency of dictionary entries by giving them a structured boilerplate to refine.

# Goal

* Add a **“Generate with ✨jAI”** action/button in the Jargons Editor.
* On click, ✨jAI provides a suggested definition, examples, and related metadata for the word being added.
* Contributors can edit, refine, and finalize the suggestion before submission.
* Ensure the AI output is clearly marked as a **draft/boilerplate** so contributors know they are responsible for reviewing before submission.

The issue names the Jargons Editor but no files, tests, or entry points. Start by locating the editor and the existing ✨jAI integration boundary, then define the generation flow and draft labeling. Done means contributors can generate suggested definitions, examples, and metadata, edit them, and review the result before submission.

Written by the indexing model from the issue text.