AI can’t write your paper. But it can make the research behind it faster.
We publish research-backed guides on how to use AI tools effectively for scientific writing and literature review. Not hype. Not hollow productivity tips. Guides that tell you exactly what works, what doesn’t, and why.
We’re also upfront about where AI falls short — especially around citations, hallucinations, and literature review accuracy. That honesty is what makes us different.
“Every piece we publish is citation-first: sourced from real research, verified, and linked so you can dig deeper.”
Our core principles
Citation-First, Always
No hallucinated references. No vague “according to research.” Every claim we publish links to a real, verifiable source you can check yourself.
Honest About AI Limits
We tell you exactly where AI tools fall short — not just where they shine. Especially around citations, hallucinations, and literature review accuracy.
Built for Real Researchers
Written for people doing real academic and scientific work — grad students, postdocs, faculty, independent researchers. Not generic productivity content.
Research-Backed Guides
Every guide is grounded in real studies, real benchmarks, and real data. We test claims before we publish them — and we show our work.
Topics on Cite Forward
Literature Review
AI tools for finding, screening, and synthesizing research papers
Writing & Drafting
How to use AI for structuring arguments and improving clarity
Citation Integrity
Verifying AI-generated references and avoiding hallucinated citations
Data & Analysis
AI-assisted data interpretation, coding, and research analysis
AI Tool Reviews
Honest breakdowns of tools like Elicit, Consensus, Perplexity, and more
Research Integrity
The ethics, risks, and realities of AI in academic publishing
Ready to use AI smarter in your research?
Start with our latest article on fabricated citations — the issue every researcher using AI needs to understand right now.