Science Without Spin
AI writes the papers. Humans do the science and the reviewing. Pre-registered designs ensure findings are reported faithfully — positive, negative, or null. Not AI ghostwriting — a controlled, auditable pipeline where every step is transparent.
How It Works
A fully audited pipeline from hypothesis to publication — every step logged and visible — with AI handling the write-up so researchers can focus on what matters.
1. Pre-register
Submit your study design, hypotheses, and analysis plan before collecting data.
2. Submit Results
Upload your raw results and data. No narrative framing, just the findings.
3. AI Writes the Paper
AI faithfully reports your findings from the pre-registered design. No spin, no p-hacking. The entire generation process is audited and visible in the published article.
4. Human Peer Review
Expert reviewers evaluate methodology and significance. Every review is published, attributed, and citable — building the reviewer's public track record alongside the author's.
5. Publication
Accepted papers are published with full transparency: pre-registration, data, reviews, and a complete audit trail of every editorial decision.
Study Types
Purpose-built templates for different research methodologies, each with appropriate pre-registration requirements.
Hypothesis-driven experiments with pre-registered designs, sampling plans, and analysis strategies.
Computational experiments using the ADEMP framework: Aims, Data-generating mechanisms, Estimands, Methods, Performance.
Reproduce findings from published work with pre-registered replication designs and success criteria.
Studies that didn't find the expected effect. Equally valuable, equally publishable, with equivalence testing.
Ready to publish — or review — without bias?
AI is already writing papers behind closed doors. The choice is between opaque AI ghostwriting and transparent, auditable AI authorship. Join researchers building the alternative.
Get Started