How to use AI tools for annotating and revising papers?

AI tools facilitate efficient paper annotation and revision by automating grammar checks, suggesting stylistic improvements, and identifying potential structural flaws. These applications are viable and widely adopted in academic settings to support the writing process. Effective utilization requires understanding their limitations: AI tools serve strictly as supplements to human expertise, not replacements. Users must verify all suggestions for contextual accuracy, factual correctness, and adherence to discipline-specific conventions. Critically assess AI-generated structural feedback for logical coherence, and remain aware that similarity detection algorithms may flag AI-assisted text, necessitating mindful revision to mitigate detection risks. Choose reputable tools designed for scholarly writing. Implementation involves distinct stages: Begin employing AI for initial grammar correction, spelling checks, and basic readability enhancement. Next, leverage deeper analysis features for suggestions on sentence clarity, vocabulary choice, and paragraph transitions – carefully curate useful advice. Crucially, always perform thorough manual review after AI-assisted editing to verify argument integrity, uphold originality, and refine nuances beyond AI capability. This iterative process significantly streamlines editing, improves manuscript quality, and manages researcher time more effectively, while demanding sustained authorial oversight.