Mapping WYSIWYG diffs to AI runs and sources
BlogBlog/EngineeringEngineering/Granular AI diffsMapping WYSIWYG diffs to AI runs and sourcesAlan YahyaAlan Yahya·11 September 2026·4 min readUsing AI makes it easy to let go of attention to detail. Making agent edits granular and trivial to investigate is part of a more satisfying AI UX.Yet, this is a particularly challenging problem when it comes to version control for WYSIWYG documents, as they are highly coiled. We can distinguish an AI agent’s edits from changes made by a human reviewer or other agents, even when they are working concurrently.AI context, review decisions and exact paragraph provenanceA saved document baseline, a harness provider-context snapshot and referenced sources feed the evidence chain.
- ▪BlogBlog/EngineeringEngineering/Granular AI diffsMapping WYSIWYG diffs to AI runs and sourcesAlan YahyaAlan Yahya·11 September 2026·4 min readUsing AI makes it easy to let go of attention to detail.
- ▪Making agent edits granular and trivial to investigate is part of a more satisfying AI UX.Yet, this is a particularly challenging problem when it comes to version control for WYSIWYG documents, as they are highly coiled.
- ▪We can distinguish an AI agent’s edits from changes made by a human reviewer or other agents, even when they are working concurrently.AI context, review decisions and exact paragraph provenanceA saved document baseline, a harness provider-c
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,494 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Lexifina |
| Canonical URL | https://lexifina.com/blog/granular-ai-diffs-and-source-tracing |
| Publication time | Fri, 11 Sep 2026 21:27:24 +0000 |
| Retrieval time | 2026-09-11T21:43:35.334Z |
| Last seen | 2026-09-11T21:43:35.334Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | CLJqqFnXBDE6 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
BlogBlog/EngineeringEngineering/Granular AI diffsMapping WYSIWYG diffs to AI runs and sourcesAlan YahyaAlan Yahya·11 September 2026·4 min readUsing AI makes it easy to let go of attention to detail. Making agent edits granular and trivial to investigate is part of a more satisfying AI UX.Yet, this is a particularly challenging problem when it comes to version control for WYSIWYG documents, as they are highly coiled. DOCX for example, combines words, formatting and structure in its shared OOXML representation.An interactive system needs to be able to reconcile harmless changes to the document (file changes that do not actually change the document as viewed, such as changes to the span nesting of a sentence), as well as connect changes to recorded actions: an AI proposal, the reviewer's…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Lexifina.
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