Running a research group means you're responsible for more than your own workflow – you're responsible for everyone's. But evaluating AI tools across the full research-to-publication pipeline is a sprawling, time-consuming job that most team leads are doing ad hoc, in between everything else. This directory does that work for you. It maps every major category of AI-assisted tooling your group touches – from literature discovery through manuscript development, citation management, preprint dissemination, peer review submission, and academic integrity checking – into a single vetted, categorized reference built specifically for the person making standardization decisions, not just the person using the tools. Whether you're onboarding new lab members, auditing your group's current stack, or trying to establish consistent practices across a mixed team, this gives you a structured foundation to evaluate options against your group's actual needs rather than chasing individual recommendations from scattered sources.
What's included
- A buyer's guide for team leads that walks through how to use the directory as a decision-making framework – covering how to evaluate tools for group fit, not just individual preference
- A categorized breakdown of literature discovery and systematic search tools, including AI-assisted options, so you can assess what belongs in a standardized search workflow for your group
- Coverage of AI writing assistants and manuscript development tools evaluated from a team-lead perspective – what to look for, what to watch out for, and how different tools serve different stages of the writing process
- A structured review of citation managers and reference workflow tools, including how they compare on collaboration features relevant to multi-researcher teams
- A section on preprint servers and open-access dissemination platforms covering the major venues across disciplines, so your group has a clear map of where and how to share work before and after formal publication
- Coverage of peer review platforms and journal submission tools, giving your team a reference for the submission-side infrastructure that shapes how manuscripts move through the publication pipeline
- A dedicated section on academic integrity and AI-detection tools – what they do, what their limitations are, and what team leads need to understand before setting group-wide policy around AI use in manuscripts
Research OS - Complete Kit
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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
