Build a content reuse planner that transforms an existing library of articles, videos, podcasts, newsletters, and social posts into new content opportunities without producing repetitive copies.
Users can import content titles, transcripts, publication dates, topic labels, target audiences, performance metrics, and links to original assets.
The application should:
Identify the central ideas and supporting evidence in each source.
Map related content pieces into topic clusters.
Detect repeated claims, overlapping angles, and underexplored themes.
Suggest format transformations such as article-to-video outline, podcast-to-newsletter, or tutorial-to-checklist.
Preserve the original source link and distinguish extracted facts from newly proposed interpretations.
Identify which source material needs updating before reuse.
Create a publishing calendar that balances new material, refreshed content, and repurposed assets.
Track reuse history to prevent excessive repetition across channels.
Include a searchable content library, relationship graph, transformation brief generator, and exportable editorial calendar.
Do not fabricate source quotations, statistics, or performance data. Make each transformation serve a distinct audience need, and flag potentially outdated information before recommending republication.
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