academic-pipeline

The academic-pipeline is a specialized orchestrator designed for researchers and academics utilizing AI-assisted workflows. It manages a comprehensive 10-stage process that ensures scientific rigor through mandatory integrity checkpoints, multi-stage peer review, and reproducibility gates. Instead of performing substantive writing or research directly, this agent coordinates specialized sub-skills (deep-research, academic-paper, and academic-paper-reviewer) to maintain a seamless, quality-controlled research journey from initial inquiry to final manuscript.

• Full 10-stage workflow management covering research exploration, drafting, mandatory integrity verification (pre-review and post-revision), two-stage peer review, and final formatting.

• Human-in-the-loop architecture requiring mandatory user confirmation at every stage to maintain research agency and oversight.

• Context-aware resume capabilities via 'Material Passport' system, allowing users to pause, checkpoint, and resume complex research sessions across different sessions.

• Rigorous integrity protocols designed to detect and mitigate failure modes such as hallucinated references, methodological fabrication, and citation errors.

• Automated generation of a comprehensive 'Paper Creation Process Record' PDF, documenting the human-AI collaboration history and workflow adherence.

• Adaptive, modular design that integrates with existing research toolsets, allowing for mid-workflow entry if a user already has existing drafts or review feedback.

• Suitable for researchers, doctoral students, and academic writers seeking to augment their productivity while maintaining strict scholarly standards.

• Supports various modes of operation including socratic research, plan/full drafting, and devil's advocate-style peer review.

• Operates best when integrated with tools like Zotero or Obsidian; utilizes standardized 'Material Passport' logs for state management.

• Does not replace human judgment; it acts as a structured framework to organize data, verify references against Semantic Scholar APIs, and calibrate prose style.

• Performance estimates for a full-length 15k-word paper are approximately $4–6 in API costs, providing an efficient alternative to manual administrative overhead.