How can we ensure the consistency and coherence of the content of a thesis through AI writing?

AI writing tools can enhance thesis consistency through structured prompting and iterative refinement. They facilitate coherence by generating text that adheres to predefined logical frameworks and maintains uniform terminology. Key principles include establishing clear style guides and semantic anchors for the AI to follow. Necessary conditions involve using iterative feedback loops, where initial outputs are checked against academic standards, and refined through targeted prompts. Scope encompasses drafting sections like literature reviews or methodology where repetitive terminology is crucial. Crucially, human oversight must validate thematic flow, argument progression, and discipline-specific conventions, as AI may overlook nuanced contextual links. Implementation starts with defining section-specific templates and core terminology libraries. AI drafts content anchored to these references, followed by human-AI collaborative revisions focusing on logical transitions and lexical consistency. Using AI for consistency checks across drafts reduces manual proofreading effort. This approach improves structural integrity, saving time while upholding scholarly rigor, though final coherence assessment remains a human responsibility.