Methods Guards AI
Guardians for Uncertainty Assessment in Research and Data Quality Systems
Upload a PDF and receive a free preliminary methodological diagnosis. Methods Guards AI helps identify weaknesses, strengths and corrective actions.
Analyses completed: -
Analysis is based exclusively on the uploaded document. Missing information is not inferred or invented.
Support Methods Guards AI
Methods Guards AI remains free. Donations help support technical costs and keep the service active over time. In some cases, as a thank-you, the system may assign complimentary codes for additional daily analyses and removal of advertising spaces during use.
Complimentary codes can be shared, work only for their assigned number of uses, and then expire.
MG AI v2.1 - laboratory: for a more analytical methodological reading, with greater attention to contribution type, overall robustness, AI Trace Check and a more accessible explanation of technical criticisms.
PDF format · maximum 13 MB · the document is analyzed only to produce the requested methodological diagnosis.
For better results, upload readable text-based PDFs. Online-compressed PDFs, scanned PDFs, image-only documents or files without selectable text may not be analyzed correctly. When possible, use a text-based or OCR version.
Drop the PDF here or click to upload
PDF maximum 13 MB
By uploading a file, you acknowledge the Transparency and data use page. For better use, read the quick guide.
Preliminary methodological assessment for research texts
Methods Guards AI is a free tool for reading scientific documents and producing an orientative methodological diagnosis. It is designed for papers, abstracts, book chapters, reviews and research projects uploaded as PDF files.
The report helps identify strengths, weaknesses, declared limitations, methodological vulnerabilities and priority corrective actions. It does not replace peer review, scientific supervision or expert judgement: it provides a structured first check before human review.
- Methodological structure: objectives, design, sample, instruments, analysis and conclusions.
- Robustness: internal coherence, transparency, validity, transferability and limits.
- v1 and v2 engines: v1 favours quick synthesis; v2 provides a more analytical experimental reading.
Latest updates
Added a plain-language reading of the Guardians' technical criticisms in MG AI v2.1, while preserving the specialist methodological diagnosis.
Released an experimental version focused on a more articulated methodological reading, with greater attention to the overall robustness of the contribution.
Introduced Italian/English navigation across the main sections of the website.
FAQ
Does Methods Guards AI replace human expertise?
No. Methods Guards AI is a support system for methodological assessment. It does not replace peer review, scientific supervision, academic evaluation or human expert judgment.
Does the AI invent information that is not in the PDF?
Methods Guards AI is designed to base the analysis exclusively on the uploaded document. Missing information should not be inferred or invented.
Are PDFs stored?
Yes. Documents may be stored for technical, security, abuse monitoring and system improvement purposes. PDFs are not sold, published or publicly shared.
Which documents are supported?
Methods Guards AI currently supports: abstracts, papers, book chapters and research projects in PDF format.
What does "preliminary methodological diagnosis" mean?
The output is an initial and orientative assessment of the methodological features of the document, not a definitive scientific validation.
Why are some document types not available yet?
Methods Guards AI is an evolving project. Some document types require more robust analysis pipelines, specific checks and additional testing before release.
How do codes work?
Codes may be assigned as a form of voluntary support for the project. Methods Guards AI does not directly sell credits or premium access.