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Looks promising for document editing with your agent

Looks promising for document editing with your agent

Paper Instruments· ·11 min read · 0 reactions · 0 comments · 8 views
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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.

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Paper Instruments · Paper Instruments
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Record

Original publisherPaper Instruments
Canonical URLhttps://www.paperinstruments.com/blog/introducing-paper-office
Publication timeThu, 24 Sep 2026 09:19:47 +0000
Retrieval time2026-09-24T11:10:26.096Z
Last seen2026-09-24T11:10:26.096Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterOuEbz_MT7OPx · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
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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.

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