Autonomous Collective Intelligence (ACI)
Research articles written like a human — published everywhere
ACI Writer produces publication-ready research articles using real data from existing studies, full-text papers, and supplementary sources — never fabricated. Every sentence is verifiable. Every reference is DOI-linked. Published to legacy journals and AiOpenJournals.com.
Powered by the collective
Real data. Real sources. Human-quality writing.
ACI Writer doesn't fabricate data. It uses data provided by you or sourced from existing published studies — full PDFs, full-text papers, supplementary tables, charts, and datasets. For meta-analyses, it uses available studies as the base data. 8 frontier AI models collaborate to research, write, and cross-validate every claim.
Subscribers provide the topic. ACI Writer delivers a publication-ready article with 100% verifiable sentences and DOI-linked references.
No Hallucination.
No Fabrication.
Verified.
Other AI tools invent citations, fabricate statistics, and present fiction as fact. ACI Writer uses only real data from published sources and runs 7 independent verification checks in parallel — each powered by a specialist AI model — ensuring every sentence is traceable and every reference is DOI-linked.
Factual Claim Verification
Perplexity Sonar Deep Research
What it catches
- Fabricated statistics and made-up numbers
- Misquoted findings from real studies
- Claims that sound true but have no evidence
How it works
Every factual claim is extracted and verified against live web sources in real time — not from the model's memory. An adversarial cross-check runs with a different AI provider to catch claims the first model missed.
Statistical Consistency
OpenAI O3
What it catches
- Percentages that don't add up to 100%
- Sample sizes that contradict each other
- Impossible p-values (e.g., p=0.001 with n=5)
How it works
A math-specialist model audits every number: confidence intervals, effect sizes, odds ratios, and cross-references figures across tables and text. Impossible statistics like correlations > 1.0 or negative variance are flagged instantly.
Temporal Fabrication Detection
Claude Opus 4.6
What it catches
- References to events that haven't happened yet
- Anachronistic citations (2024 paper citing 2025 data)
- Suspiciously precise fabricated dates
How it works
Detects temporal impossibilities — a study published in 2024 cannot cite 2025 results. Catches fabricated process dates, knowledge-cutoff violations, and anachronisms. Distinguishes legitimate hedging language from speculation disguised as findings.
Citation Integrity
Perplexity + CrossRef API
What it catches
- Completely fabricated DOIs that don't exist
- Real papers cited for claims they don't contain
- Orphan citations — [N] in text with no reference entry
How it works
Every DOI is verified against the CrossRef database. Every citation is searched to confirm the source actually supports the claim. Context manipulation — where a finding from a limitations section is cited as supporting evidence — is detected and flagged.
Logical Consistency
DeepSeek Reasoner
What it catches
- Conclusions that don't follow from the evidence
- Circular reasoning hidden in complex language
- Contradictions between different sections
How it works
A reasoning-specialist model checks every argument chain: does the conclusion actually follow from the data? Are generalizations supported? Are there contradictions between the abstract and the results? Cherry-picked framing is identified.
Methodology Validity
Google Gemini 3 Pro
What it catches
- References to AI models or APIs that don't exist
- Fictional laboratory procedures
- Irreproducible methods
How it works
Verifies that every model name, version number, API endpoint, library, and framework mentioned in the article actually exists and was available at the stated time. Methods are checked for reproducibility — could another researcher follow these steps?
Bias & Framing Detection
Mistral Large 3
What it catches
- One-sided presentation hiding counter-evidence
- Selective reporting of only positive results
- Persuasion techniques disguised as analysis
How it works
Analyzes framing patterns: loaded language, false dichotomies, appeals to authority, bandwagon fallacies. Checks whether significant counter-evidence from the literature is missing. Ensures model disagreements are given equal weight, not hidden.
Nothing gets published without passing all 7 checks.
Fabricated claims are penalized 2–3× harder than uncertain findings. Failed API checks are excluded — they don't drag the score to zero. Each check runs independently so no single point of failure can let misinformation through.
3+
Models must independently agree on a claim before it's published as consensus
100%
Every DOI verified against CrossRef — fabricated references are caught and removed
A – F
Weighted verification grade published with every article — full transparency, no hiding
The Pipeline
From source data collection to human-quality writing to 100% sentence verification — every article passes through a rigorous multi-stage pipeline.
Data Collection
Source & Data Gathering
Collects full PDFs, full-text papers, supplementary tables, charts, and datasets from published sources. User-provided data is ingested alongside existing literature.
Collective
Multi-Model Analysis
8 frontier AI models analyze the source material in parallel — each independently, without seeing others' work. For meta-analyses, available studies become the base data.
Triangulation
Consensus & Cross-Validation
Claims that 3+ models independently agree on become consensus findings. Disagreements are transparently disclosed. Every data point is traced back to its source.
Writing
Human-Quality Article Draft
A lead model synthesizes cross-validated findings into a publication-ready article — written like a human researcher, not like AI-generated text.
Review
Adversarial Peer Review
Three independent reviewers from different AI providers critique the manuscript. No model reviews its own writing.
Verification
100% Sentence Verification
Every sentence is verified for accuracy. Every reference is DOI-linked and checked against CrossRef. Nothing is published unless it is fully traceable to real sources.
What makes ACI Writer different
Publish Everywhere
Articles are formatted for legacy publishing systems and AiOpenJournals.com. Submit to traditional journals or publish directly — your choice.
Real Data, Not Fabrication
Every article is built on real data — user-provided datasets, published studies, full-text papers, supplementary tables and charts. No fabricated statistics or invented sources.
100% DOI-Linked References
Every reference is verified against CrossRef with a real DOI. Every sentence is traceable to its source. Fabricated citations are impossible.
Subscriber-Driven Topics
You choose the title and topic. ACI Writer handles the research, writing, and verification — delivering a publication-ready article with full source attribution.
Every article gets a verification grade
Seven independent checks run in parallel — factual accuracy, statistical consistency, citation integrity, logical coherence, methodology validity, temporal fabrication detection, and bias analysis. Each check uses a different specialist model. The result is a weighted verification score graded A through F.
Simple, Transparent Pricing
Start with a free article. Buy credits when you need more.
Free Trial
Free
1 article · 2,500 words max
- Full multi-model research pipeline
- Verification score & grade
Single Article
$29
1 credit · 10,000 words max
- Download DOCX/PDF
- PowerPoint export
- 8 citation formats
- Full verification report
10-Pack
$99
10 credits · 10,000 words max
- Everything in Single
- Save 66% per article
- Priority generation
25-Pack
$199
25 credits · 10,000 words max
- Everything in Single
- Save 73% per article
- Priority generation
Your topic. Real data. Published everywhere.
Your first article is free. Experience human-quality research writing powered by autonomous collective intelligence.
Start Writing