Can AI organize interviews into story-like long articles?

Yes, AI can organize interview transcripts into coherent, story-like long articles. This is a feasible application of natural language generation (NLG) technologies.

Achieving this requires robust AI trained on narrative writing. Key factors include accurately capturing speaker intent and emotion, identifying thematic threads, and structuring information with logical flow (beginning, middle, end). Input transcripts must be high-quality and detailed enough to provide necessary context. Human oversight is crucial for refining nuance, ensuring coherence, and verifying factual accuracy before final publication.

AI significantly accelerates transforming raw interviews into polished narratives. It analyzes the transcript, identifies key themes and quotes, suggests a compelling structure, and drafts the initial article draft. This enables communicators to quickly produce engaging content like feature articles, case studies, or biographical pieces, saving considerable manual drafting time while focusing human effort on strategic editing and storytelling enhancement.