Most AI/ML researchers using LLMs for writing assistance are solving the wrong problem. They're getting faster at drafting – but still losing weeks to disorganized literature reviews, argument structures that collapse under reviewer scrutiny, and submission checklists assembled from memory. Speed without process produces inconsistent papers, not a research program. Research OS is a complete end-to-end system that connects every stage of paper production – from raw literature to arXiv submission – into a single repeatable workflow. It's built for active researchers and PhD students producing multiple papers per year who need process discipline, not just another prompt template. The system runs five connected stages: literature synthesis, argument structuring, AI-assisted drafting, citation management, and submission readiness. Each stage produces a defined artifact that becomes the input for the next. Nothing falls through the gaps between tools, and nothing gets rebuilt from scratch on every paper.
What's included
- A five-stage research pipeline with defined handoff artifacts and stage triggers, so each paper moves from idea through submission as a connected system rather than a series of isolated tasks
- A literature synthesis engine covering how to convert raw papers into structured knowledge bases and gap maps – including the extraction and organization methods that make your review defensible, not just comprehensive
- An argument structuring component with frameworks for contribution framing, hypothesis mapping, and logical dependency analysis, so your core claims hold together before a single draft section is written
- A prompt library and section-by-section AI-assisted drafting workflow with built-in rigor checkpoints and section gates that enforce quality standards at each transition point
- A citation management layer with taxonomy, role classification, and a reference audit protocol – so your bibliography reflects the actual argumentative function of each source, not just what you happened to read
- A submission readiness protocol covering arXiv checklist completion, reproducibility verification, and a final audit sequence designed to catch the gaps that cause desk rejections and reproducibility failures
- A 30/60/90-day implementation roadmap structured around one live paper, so you're not learning the system in the abstract – you're installing it while shipping real work
Research OS - Complete Kit
Get this plus 3 complementary products together as one kit — one checkout, instant access to everything.
Also in this kit
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Most researchers at AI labs don't write papers full-time – they write them occasionally, under pressure, while carrying a full engineering or research load. The result is a process that gets rebuilt from scratch every time: outlines that drift, abstracts that bury the contribution, reviewer responses that lose track of what changed, and submissions that go out with metadata errors or missing licenses. This bundle gives you the structural scaffolding to run a disciplined paper process without designing one yourself. Seven ready-to-use components cover every stage from first outline to final rebuttal – five fill-in templates, embedded how-to-use guidance for each one, and a companion spreadsheet setup guide – so you spend your cognitive budget on the research, not on remembering what a well-formed abstract looks like or whether you've verified every citation claim. Built for technical writers, research engineers, and industry researchers who need professional-grade process infrastructure for occasional paper writing – without the overhead of building a full methodology from scratch.
What's included
- A section-by-section paper outline scaffold that locks in your paper's logical structure – motivation, method, experiments, related work, and conclusion – before you write a single sentence of prose
- An abstract formula sheet with fill-in-the-blank sentence frames that produce a defensible four-slot abstract covering problem, approach, result, and implication every time
- An arXiv pre-submission checklist that walks you through every metadata field, file formatting requirement, and licensing decision so nothing is missing or misconfigured when you hit submit
- A reviewer response tracker that logs every comment, your planned response, the specific revision made, and the location of that change – keeping the full revision cycle accountable from first read to final rebuttal
- A citation audit log that records source-level verification for every claim, so you can confirm traceability and accuracy across your reference list before the paper goes out
- A how-to-use guide embedded in each template explaining context, fill-in instructions, and the most common mistakes – so you can pick up any section cold and use it correctly without reading the whole bundle first
- A companion spreadsheet setup guide with one tab per template, pre-configured column headers, and worked example rows ready to copy into Google Sheets or Excel for immediate use
Format: PDF + Excel
