
Looks promising for document editing with your agent
Across five models and 61 tasks, Paper packages plus guidance passed 92.5% of trials, versus 80.7% for upstream packages without skills and 69.5% with Anthropic's comparable Office skills. Agents also wrote code to edit Office file internals directly in just 1.6% of Paper runs, compared with 78.7% without skills and 50.5% with Anthropic skills. We note that basic software, in addition to prompt, skills, and tools, remains an important lever for harness optimization.
- ▪Across five models and 61 tasks, Paper packages plus guidance passed 92.5% of trials, versus 80.7% for upstream packages without skills and 69.5% with Anthropic's comparable Office skills.
- ▪Agents also wrote code to edit Office file internals directly in just 1.6% of Paper runs, compared with 78.7% without skills and 50.5% with Anthropic skills.
- ▪We note that basic software, in addition to prompt, skills, and tools, remains an important lever for harness optimization.
Hacker News (Front Page) files mainly under programming. We currently carry 2,084 of its stories. Top-voted stories on Hacker News.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Paper Instruments |
| Canonical URL | https://www.paperinstruments.com/blog/introducing-paper-office |
| Publication time | Thu, 24 Sep 2026 09:19:47 +0000 |
| Retrieval time | 2026-09-24T11:10:26.096Z |
| Last seen | 2026-09-24T11:10:26.096Z |
| 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 | OuEbz_MT7OPx · 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
← ResearchIntroducing Paper OfficeSep 23, 2026 · Daanish Khazi, Gavin Bains, Joey Besgenpaper-docxpaper-pptxpaper-xlsx Today, we release Paper Office, a suite of Python packages that allow agents to manipulate Word, PowerPoint, and Excel files with added safety, correctness and breadth, building on legacy open source packages: python-docx, python-pptx and OpenPyxl. Across five models and 61 tasks, Paper packages plus guidance passed 92.5% of trials, versus 80.7% for upstream packages without skills and 69.5% with Anthropic's comparable Office skills. Agents also wrote code to edit Office file internals directly in just 1.6% of Paper runs, compared with 78.7% without skills and 50.5% with Anthropic skills.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Paper Instruments.