Claude Scientific Writer, the research and writing engine behind K-Dense Web, is now free and open source. It handles manuscripts, grant proposals, clinical documentation, research posters, and literature reviews -- outputs formatted for the actual venues you submit to, not generic AI text you have to wrangle into shape.
The problem with AI writing tools
If you've tried using ChatGPT for scientific writing, you've probably hit the same walls. The AI confidently cites papers that don't exist. You spend more time fact-checking than you saved writing. The output is formatted for no particular journal, so you're reformatting everything anyway. And the model's training data is a year old, so it has nothing to say about recent work in your field.
The data integration problem is the most frustrating one. You have spreadsheets of results and folders of figures. The AI will acknowledge that your data exists and then proceed to write around it.
Claude Scientific Writer was built to address these specific failures.
Research first, then write
Most AI writing tools generate text and then bolt citations on afterward. We do it the other way: the tool searches current literature via Perplexity Sonar Pro before it writes a word. It finds relevant papers, verifies claims against them, and generates citations from real sources. One fabricated citation can torpedo a manuscript's credibility, which is why building verification into the process rather than leaving it to you matters.
Outputs that match the venue
- Scientific papers structured for Nature, Science, Cell, NeurIPS, ICML -- correct sections, correct citation style
- Grant proposals formatted to NSF, NIH, DOE, and DARPA requirements, including budget justifications and timeline templates
- Research posters as professional LaTeX documents ready for conference printing
- Literature reviews with systematic organization and citation management
- Clinical documentation including case reports, diagnostic summaries, and trial reports
An NSF proposal reads like an NSF proposal, not a blog post with section headers bolted on.
Your data, in context
Point the tool at your data files and figures and it will reference them in the text -- results from your spreadsheet, the statistical significance you've measured, trends visible in your graphs. PDFs, Word documents, and presentations are also automatically converted, so your existing materials become part of the writing context without extra work.
Iteration supported
The tool supports revision the way scientific writing actually works. You can run peer review simulation using a quantitative evaluation framework, get context-aware revision suggestions, and continue editing previous outputs. The AI maintains context across those steps -- you can refine the methods section, strengthen the limitations discussion, add a comparison to related work, and it knows what you've already written.
Also in K-Dense Web
Everything here is also available in K-Dense Web, with deeper research integration, enhanced figure generation, persistent project sessions, and team features. Use the open source tool if it does what you need; upgrade when it doesn't.
Free and open source
MIT license. Use it, fork it, build on it. The code is at github.com/K-Dense-AI/claude-scientific-writer -- installation takes a few minutes via pip or as a Claude Code plugin.
There's also a Slack community for questions, tips, and workflow sharing. Join here.
Claude Scientific Writer on GitHub. Full experience at K-Dense Web.