Sharly (@SharlyAI) header
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AI research assistant for source-grounded document analysis | Helping researchers and teams to build clarity from the chaos of complex knowledge

San Francisco, CA
Joined April 2023
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Sharly now connects to Zotero and Mendeley, so you can ask questions across the collections you’ve already built, without uploading a single paper.
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January 2024. 137 engineering students in Latvia were asked which AI tools they used in their English-for-specific-purposes course.
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9.5% named Sharly, in a table of tools for analysing PDFs and summarising research articles.
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Before any Sharly answer goes into a paper:
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1- Open the cited excerpt 2- Read the passage in the original 3- Confirm it supports your sentence as written 4- Cite the original, not Sharly 5- Record version and date
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A master’s thesis in engineering started with 42 AI tools.
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→ 20 could read a PDF on a free plan → 11 survived a screen for word caps, speed and relevance
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53 articles. A decade of research on territorial cohesion policy.
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Bibliometrics: VOSviewer. Content analysis: Sharly.
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From a systematic review published this summer:
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“Eligibility determinations, study classification, data extraction, and interpretation of findings were performed by the authors and were not delegated to artificial intelligence software.”
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Sharly is an instrument, not a source.
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Cite it for the method: screening, data extraction, content analysis.
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Sharly is citable.
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A versioned technical note, archived on Zenodo with a DOI: what Sharly does, how its citations work, and what it cannot do.
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Journals now ask you to disclose every AI tool you used.
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Most AI tools give you nothing to cite: no version, no identifier, no document describing what they do.
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A better model makes fewer mistakes. A source on the exact page lets you catch the rest.
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Sharly now runs on GPT-6.
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Research is hard in specific places: methods sections, statistics, results that disagree across papers.
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That's where Sharly on GPT-6 now does its best work. Every claim is still sourced to the page.
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Sharly now runs on GPT-6.
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You get sharper reading of dense papers and fewer factual mistakes, and every answer still links to the exact page it came from.
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Most AI tools answer from somewhere on the internet. Sharly answers from your files and shows you the page.
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Sharly answers only from the documents you upload. Every claim has a numbered source that opens the exact page. If you can't check it, you can't cite it.
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Universities can't let their researchers and students use AI on academic documents because nothing they get back is verifiable or governed.
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Sharly is source-grounded AI for documents that institutions can deploy campus-wide with admin control.
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Most AI tools can't be cited. They don't show where an answer came from, and there's nothing for a reviewer to check.
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Sharly is built for the methods section: passages you can verify, and a technical note with a DOI describing exactly how it works, limitations included.
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Dozen published papers, theses and preprints already refer to Sharly — but there was no canonical way to cite it.
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Now there is: a technical note with a DOI, plus every one of those works listed with its link.
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Journals require you to disclose any AI tool you used. Most researchers have no idea how to word it.
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So we wrote the sentence for you, and gave Sharly a DOI so you can cite it properly.
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Sharly is now citable.
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A technical note on Zenodo describes how it works, what it does, and its limits — with a DOI you can put in your reference list.
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