The SCP Engine proposes the claims your scientific communication platform (SCP) should make, each with its verdict and its sources, and writes Draft Zero from them. Judgment and sign-off stay with your writers.
Three steps from the library to the page. Each one opens to the evidence beneath it.
A claim is a specific scientific statement: this therapy, this population, this comparator, this outcome. Most documents assume the link between a statement and its references. The engine establishes it. Every claim is graded against the library, each source marked for what it does to the claim, and the gap named where evidence runs thin. Your reviewers see the verdict before the sentence.
Draft Zero is an initial draft in which every sentence traces: statement to claim, claim to evidence, evidence to source. It is a starting point, not a finished document. Your writers cut, reshape and argue with it. The trace follows every sentence they keep; anything they add can be checked the same way.
Weight reduction is sustained through 68 weeks of continued treatment1, with gastrointestinal events predominating and consistent with the class2. Cardiovascular outcome data now support a claim the prior platform did not make3. 1 Phase 3 RCT, 2022 · grade High · supported 2 Pooled safety analysis, 2025 · grade High · supported 3 Outcomes trial, 2024 · grade High · supported · not in prior platform
The questions decide what evidence is sought; the evidence decides what gets written. The engine writes to the questions you agreed, and only those. They are the questions the library was screened against, so every claim traces to a question, and every question to the papers that answer it. Change the questions and the library is re-screened; the draft follows. The draft cannot say more than the evidence base was built to support.
The same source materials given to three leading general-purpose AI models and to Posteros; outputs stripped of identifying marks and scored blind. A system that surfaces more of the evidence hands your writers a larger choice set.
Drug and model names withheld on this page; stated in the methodology available on request. "Best of three" is the highest-scoring of three leading general-purpose AI models on each drug, each scored on its best output of several runs.
Our own grade for this study. We grade quality for a living, so candor is the house habit: this is not an RCT-level study. It is a first measurement.
Evidence Delta tells you when the claims need to change. Simulations tell you what experts will say about them.