I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines
I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines

I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines

I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines

Most AI writing tools just generate text and call it done.

Korroresearch does the opposite. Generation is step one. Verification is the real product.

How it works:

Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French.

Then the real part starts. 8 engines:

-Hallucination Check: every claim gets classified: verified, hypothesis, or speculative.

-Fact Checker: statistics, institution names, dataset references cross-checked. If you wrote "94.2% accuracy" but the source says 92.4%, it catches it.

-Claim Mapping: every assertion must link to evidence. No evidence = flagged.

-Consistency Engine: variable name changed halfway through? Term used three different ways? Methods contradicting results? It tracks everything globally and catches the drift.

-Source Verification: cross-references every citation against CrossRef and arXiv. Catches retracted papers, malformed references, orphan citations.

-Adversarial Review: actively tries to reject your paper. Finds the weakest claim, the missing ablation, the overstatement. Gives you a detailed score and tells you exactly what would get you desk-rejected.

-Reproducibility: validates datasets, code availability, hardware specs, random seeds, ethics statements. All the things reviewers check and authors forget.

-Style Engine: formats for NeurIPS, ICML, Nature, ACL, and more. Each venue has different rules.

What you get at the end:

An Integrity Score from 0 to 100 with a grade A to F. A detailed action plan of exactly what to fix, ranked by severity. One-click "Apply Fixes" rewrites the problematic sections and re-verifies — you see your score go up in real time.

Then the Peer Review Simulator kicks in. 3 AI reviewers with different expertise: Domain Expert, Methodologist, Visionary, each give you a score and detailed feedback. Same format as a real conference review committee. Accept, Weak Accept, Borderline, or Reject.

You also get a Citation Checker (upload your .bib, cross-references everything), a Submission Readiness score (integrity + citations + formatting + venue compliance combined), and PDF/LaTeX export.

I also use it personally to generate a paper from a new idea, then feed it to my AI to build the project from a verified spec at very high level.

You can try it now and generate one fully professionnal academic paper for free:

korrocorp.com/research

You can also try it on your current draft. The adversarial reviewer will find things you didn't. Guaranteed.

submitted by /u/korro_ai
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