Use Case

Research & Academic Writing

Structured literature reviews, methodology planning, and citation management.

Overview

Research projects follow a natural pipeline that mirrors the scientific method: define scope, plan methodology, execute research, and review quality. Datarim brings structure to academic writing by ensuring that every source is tracked, every claim is verified, and every section receives balanced attention. The framework's fact-checking and reflection stages are particularly valuable for maintaining academic rigor.

Example: Literature Review on Quantum Error Correction

A researcher needs to write a 15-page literature review chapter covering developments in quantum error correction from 2020 to 2026. The work requires surveying arXiv, IEEE, and related databases with a minimum of 40 sources.

Pipeline Walkthrough

StageWhat happens
/dr-initDefine scope: 15-page review covering 2020-2026 developments (L3)
/dr-prdRequirements: target journals, required databases (arXiv, IEEE), citation format, minimum 40 sources
/dr-planSection outline: surface codes, topological codes, recent hardware results. Source allocation per section
/dr-doWrite each section. Use /factcheck to verify technical claims against papers
/dr-qaCheck: citation completeness, argument coherence, section balance, formatting compliance
/dr-archive (Step 0.5)Lesson: starting with a source matrix (topic x paper) saved time vs linear reading
/dr-archiveArchive with source bibliography for future chapters

Key Benefits

  • Fact verification built in — the /factcheck command verifies technical claims against source papers before publication
  • Source tracking — the PRD stage defines citation requirements upfront, preventing last-minute scrambles for missing references
  • Section balance — QA checks ensure no section is disproportionately long or thin relative to its importance
  • Reusable bibliographies — archived source matrices become a resource for future chapters and related work
  • Methodology consistency — the same pipeline applies whether writing a conference paper, thesis chapter, or grant proposal

Relevant Agents

Which agents are most active in this use case:

  • Writer — drafts sections following academic conventions
  • Editor — editorial review, citation formatting, argument coherence
  • Planner — section outline, source allocation, timeline management
  • Reviewer — QA verification of completeness and formatting compliance

Complexity Routing

How complexity levels apply to research and academic writing:

  • L1 — Fix citations in an existing paper, update a reference list
  • L2 — Write a conference abstract or a short literature summary (5-8 sources)
  • L3 — Full literature review chapter with 40+ sources and structured methodology
  • L4 — Multi-chapter thesis or a systematic review with meta-analysis across multiple databases