Consensus NLP Inc.

🩺 Women deserve health information they can trust. But online, misinformation about women’s health can spread faster than the research itself.

That’s why Peta Titter and the team at the Women’s Health Education Network (WHEN) are working to make evidence-based women’s health information more accessible in real time. 💗

Using Consensus, their volunteer team quickly reviews the research behind viral claims and publishes an evidence-based response while the conversation is still actively spreading online. 📚✨

In our newest Community Voices story, Peta shares why fast access to credible research matters so much in women’s health and how her team is helping women navigate misinformation with confidence and evidence.

👉 Check out the full story in the Community Voices link in bio.

🧪 Launch Week Day 4 is here at Consensus

Today’s updates are all about helping researchers find, organize, and connect scientific literature more intuitively 📚✨

New features include:

🗺️ Citation Graph
Turn one paper into a visual map of the research connected to it.

🔎 Paper Search
A faster, reproducible way to search papers directly without AI synthesis.

📚 Consensus Library updates
Now with bibliography generation, Zotero imports, BibTeX + DOI support, LaTeX exports, and better support for large collections.

Find papers. Map the literature. Organize your research. Cite your work. ⚡️

Launch Week Day 3 🚀

Consensus is now live in ChatGPT, Claude, and via our API. 🔬

Last month we launched the Consensus MCP. Since then, it’s already been used more than 3.5 million times in Claude.

Now developers, researchers, students, scientists, and AI teams can connect directly to one of the world’s largest academic search indexes inside the tools they already use.

What’s new:
🧠 Consensus MCP now works inside ChatGPT + Deep Research
📚 More filters for agents, including journal quality, study type, and sample size
⚡ Improved retrieval accuracy across the board

Research starts here.

What does responsible AI use in research actually look like?

Beatriz Costa Ferreira is a 23-year-old undergraduate researcher in Brazil 🇧🇷 with a published paper, two more in progress, and a thoughtful perspective on how students should be using AI tools in their academic work.

For her, Consensus is not a shortcut. It is a starting point. The reading, the thinking, and the building are still entirely her own. “I need to read all the papers. I need to build.”

Read the story at the link in bio 🔗