An AI research analyst that reads the papers, not just the abstracts
It reads the papers, not just the abstracts — a synthesized brief with inline citations, source links, and the contradictions flagged.
Hand it a question; get back a synthesized brief with inline citations, source links, and the contradictions flagged.
What a literature scan actually costs you
A proper scoping review eats a week before you've written a word. You query Google Scholar, Semantic Scholar, and PubMed separately, dedupe the overlap by hand, open forty PDFs, and realize half are paywalled or off-topic by the third paragraph. By the time you've built the reference list, the question you started with has drifted.
The agent runs the searches across the databases you name, opens the full text it can reach, and reads past the abstract — the methods, the sample size, the limitations the authors buried in the discussion. It writes a brief that states what the literature actually agrees on, where the findings conflict, and which claim rests on a single underpowered study. Every sentence carries a citation back to the source it came from.
It works the way you'd want a careful RA to work:
- Searches multiple sources for one question, then merges and dedupes the hits instead of handing you three separate lists
- Opens JS-heavy journal pages and preprint servers, not just whatever the snippet showed
- Pulls structured data straight from an API — OpenAlex, Crossref, a dataset endpoint — when a search box won't do
- Tracks every source in a Google Sheet with DOI, year, and the finding it supports, so the bibliography builds itself
- Flags where two papers contradict each other rather than averaging them into mush
It does not invent a DOI or a quote — if it can't reach the full text, it says so and tells you what it had to work from. That is the difference between a tool you check once and one you stop trusting.
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Frequently asked questions
Which databases can it search?
Anything reachable on the open web — Google Scholar, Semantic Scholar, PubMed, arXiv, bioRxiv, SSRN — plus any source with a public REST API like OpenAlex or Crossref. For an API behind a key, you give it the key once and it authenticates on every call.
Can it get past paywalls?
No, and it won't pretend to. It reads open-access full text, preprints, and abstracts. When the full paper is paywalled it tells you it worked from the abstract and metadata so you know exactly what's behind each claim.
Will it make up citations?
It's built not to. Every reference traces to a page it actually opened, with the link in the brief. If it can't verify a DOI or a quote, it flags the gap instead of filling it. You can spot-check any line against its source.
Can it keep watching a topic over time?
Yes. Tell it to re-run a search every week or month and it will, emailing you only when a new paper changes the synthesis — not a digest of everything it re-read. The reference sheet updates with each run.
What format does the brief come in?
A synthesized write-up with inline citations in chat or email, a linked reference list, and a Google Sheet of every source with DOI and year. It can also generate a formatted DOCX or a PDF report if you need something to circulate.
How much does it cost?
$49/month or $490/year — cancel anytime. Setup runs about four minutes — name the agent, tell it which databases you lean on, and ask your first question. It's in public beta.
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