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Audit written content for AI attribution, authorship signals, and transparency checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pangram-editorial" yet — see the docs or source repo.
Please run an AI attribution audit on this article, identify which sections are more likely AI-generated, and provide a risk score, rationale, and manual review priorities for each segment.
A segment-by-segment analysis highlighting high-risk passages, attribution signals, and editorial review recommendations.
Perform a transparency check on the following press release and report style consistency, suspected AI-rewritten passages, and suggested disclosure notes to add.
A report with style consistency findings, suspicious rewritten sections, and ready-to-use transparency disclosure suggestions.
Compare two versions of this draft, analyze differences in authorship signals, and identify newly added sections whose writing patterns differ from the original author.
A comparison of authorship signals between versions, with mismatched sections flagged and possible reasons explained.
Read and analyze PDF documents for natural language Q&A and extraction.
Conduct citation-audited research with web grounding and claim-level source checks.
Proofread public web pages or entire sites with AI-verified corrections.
Analyze text privately on-device for AI traces, spans, and overlap reuse.
Detects AI-writing risk in papers and suggests rewrites to reduce detection.
Research, refine, and co-write stronger content with citations and feedback.