What is Publicationgod?
Publicationgod empowers researchers to bring valuable yet unpublished data to light — data that often remains hidden in drawers after a thesis, pilot project, or smaller study. Too many scientifically sound results never make it to publication simply because they are seen as low-impact, negative, or not worth the time to write up. Yet every robust dataset contributes to the collective progress of science.
Our mission is to make it easy and rewarding to share such work. Using AI-assisted and guided structured drafting, Publicationgod helps researchers transform figures into the first draft of a publication-ready manuscript within hours, not months.
By dramatically reducing the time and cognitive load between solid data and a coherent scientific draft, Publicationgod lowers the threshold for sharing knowledge that would otherwise remain unseen. We believe that transparency and completeness in scientific reporting strengthen the foundation of all research — and that even small, “unimpactful” findings deserve their voice in the literature.
Every dataset that meets scientific standards deserves to be published. Publicationgod exists to make that happen — faster, ethically, and collaboratively.
Is it ethical to use AI for scientific writing?
The ethically decisive step in science lies in the generation and presentation of robust experimental data — a responsibility that remains entirely with each individual researcher. All users are required to confirm adherence to the principles of good scientific practice upon registration.
AI-assisted manuscript drafting does not replace the researcher’s integrity or expertise. Instead, it helps transform robust data rapidly into a clear, well-structured, and shareable manuscript — turning results into knowledge. With publicationgod, this is a stepwise process, and each step needs to be individually confirmed. Therefore, the AI doesn’t simply generate a full paper with a single click. Instead, we assist and accelerate the process from data to manuscript, but the authors remain in full control of the generated output. In the end, what matters most is not the path taken to write the text, but the transparency and reliability of the science behind it. Most organizations explicitly allow the use of AI (including the European Code of Conduct for Research Integrity ALLEA, 2023 or the DFG), but require transparent declaration. At publicationgod, this happens at the export stage, when a corresponding paragraph is added to the methods section automatically.
Moreover, by enabling direct upload to the open preprint server Zenodo with a single click, we aim to support Open Science — so that valuable results, even small or unexpected ones, can see the light of day and contribute to scientific progress.
Is this not just fostering papermills?
“Papermills” typically recycle the same manuscript structure over and over — changing only superficial details, such as swapping one microRNA for another or replacing a cancer type while keeping most of the text identical. Such practices undermine scientific integrity and flood the literature with unreliable work.
Publicationgod is fundamentally different. It is not a shortcut for mass-producing manuscripts, but a guided, structured workflow that requires meaningful input at every stage — from defining the study logic to uploading validated figures and datasets. Each project must be built from real data, and every section is generated interactively. The token-based system further ensures that automated, repetitive production would be neither practical nor cost-effective.
In short, if someone wanted to run a papermill, a word processor with “search and replace” would sadly be faster and cheaper. Publicationgod exists to do the opposite — to empower honest researchers and make real science visible.