What problem does it solve? Coordinating a full academic paper workflow — from research exploration through writing, integrity verification, peer review, revision, and final formatting — requires juggling multiple skills, stages, and quality gates, which is error-prone and hard to audit when done manually. ## Core Features & Use Cases - 10-Stage Orchestration: Dispatches deep-research, academic-paper, and academic-paper-reviewer skills across research, writing, integrity check, review, revision, re-review, final integrity, finalization, and process-summary stages. - Mandatory Integrity Gates: Runs coverage-bounded reference, citation, claim, and data verification at Stage 2.5 and Stage 4.5, including a 7-mode AI research failure checklist that blocks the pipeline on suspected hallucinated results or fabricated methodology. - Two-Stage Peer Review: Full 5-reviewer review followed by a post-revision verification re-review under an evidence-before-persuasion contract, with a maximum of one re-revision round. - Use Case: A researcher says "I want to write a research paper on the impact of AI on higher education" and the pipeline guides them stage by stage — with user confirmation checkpoints — through to a formatted PDF and a bilingual process record documenting the human-AI collaboration. ## Quick Start Ask the assistant to run the full academic pipeline for your research topic, for example by saying you want to write a research paper on a given topic from scratch.
