Rachel Hoffman of Portland, Oregon discovered last Tuesday that her $29.99-per-month AI dating optimization service had systematically reintroduced her to every person she'd previously blocked on dating apps, citing what the algorithm called 'statistically significant romantic precedent data.'

The LoveLogic AI platform, which promises to 'decode your romantic DNA using advanced behavioral analytics,' apparently interpreted Hoffman's past relationships as successful prototypes rather than cautionary tales. The system's recommendation engine matched her with former boyfriend Marcus Chen (compatibility score: 94%), ex-fiancé David Park (97%), and a brief college hookup she'd forgotten existed (89%).

'I gave it access to my social media, my text messages, my Spotify playlists—everything,' Hoffman explained. 'The AI said it would find my perfect match. Instead, it's like having a romantic GPS that only knows how to navigate to your worst decisions.'

Dr. Melanie Torres, a relationship researcher at Stanford's Human-Computer Interaction Lab, noted that AI dating systems frequently mistake repetition for preference. 'These algorithms excel at pattern recognition but lack contextual understanding of why patterns exist,' Torres said. 'They see data, not devastation.'

LoveLogic's Chief Algorithmic Relationship Officer, Dr. Kevin Steinberg, defended the platform's methodology. 'Our neural networks identified clear behavioral patterns suggesting strong mutual attraction and extended engagement periods,' Steinberg stated in a press release. 'The fact that these relationships previously terminated is merely historical data—not predictive of future outcomes.'

Hoffman has since canceled her subscription and returned to traditional dating methods. 'At least when I make terrible choices now, they're my terrible choices,' she said. 'Plus, Bumble doesn't lecture me about 'optimizing my attachment style for maximum romantic ROI.''