AI + TMDB: 3 Passes to Match Torrent Posters — Prompt Iteration With Real Numbers
The article discusses the development of a three-pass AI pipeline to match torrent folder names with movie titles from TMDB. The pipeline uses regex for initial extraction, followed by AI for verification and candidate selection. Improvements were made based on real data, significantly reducing false positives and negatives in title matching.
- ▪The initial regex and TMDB search successfully matched titles 80% of the time.
- ▪The AI pipeline consists of three passes: extraction, verification, and candidate selection.
- ▪Improvements were made by analyzing real data, which helped reduce false skips and negatives.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3833552) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Odilon HUGONNOT Posted on May 30 • Originally published at web-developpeur.com AI + TMDB: 3 Passes to Match Torrent Posters — Prompt Iteration With Real Numbers #ai #promptengineering #claudecode #tmdb ShareBox displays shared folders as a Netflix-style grid with TMDB posters. The problem: folder names come from torrents. Naruto.INTEGRALE.MULTI.VFF.1080p.BluRay.x264-AMB3R needs to match "Naruto" on TMDB — not "Naruto Shippuden", not "Naruto the Movie".
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