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CLUSTER ADD-WORD-CHANGES · 4 ENTRIES · EARLIEST ENTRY 2026-09-09

AI Word document add-ins

This cluster consists of Microsoft Word add-ins that use AI to review, rewrite, or edit text and apply changes as tracked edits, with one member focused on legal documents and local models. The cluster's dated history is too thin to read a shape from — it predates the index or its members are undated, with zero dated entries before the index start. On traction, paper-pal leads with 22 stars, followed by LLM_in_Word with 5 stars and LexCrew-Doc with 0 stars.

Entry timeline

ENTRY TIMELINE

SEP 2026: 3OCT 2026: 1
SEP 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 3 hobby · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01paper-pal22★10 days—hobbyWriting assistant that reviews AI-suggested edits to LaTeX manuscripts, showing word-level diffs and requiring approval before changes are applied.
  2. 02LLM_in_Word5★20 days—Word add-in that lets users select text, request an AI rewrite, review changes, and apply them as tracked edits.
  3. 03LexCrew-Doc0★19 days—hobbyWord add-in that reviews, drafts, and rewrites legal documents using a local model, with tracked changes and reference search.
  4. 04WordAI-Pro1★1 molivehobbyAI writing add-in for Microsoft Word that provides in-place editing, research citations, plagiarism detection, tone rewriting, and document templates.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.