View Single Post
Old 10-29-2022, 05:05 AM   #6906
Teynte
 
Join Date: Jan 2016
Posts: 97,249
Сказал(а) спасибо: 0
Поблагодарили 155 раз(а) в 155 сообщениях

All my threads

Rep Power: 225
Teynte Блестящее будущее ждет его здесь...Teynte Блестящее будущее ждет его здесь...
Default Satine Spark - Machine Learning

Name: Satine Spark - Machine Learning
Year: 2022

Keywords: bedroom, kissing, sideways, all sex, 69, sex, missionary, blow, cowgirl, blowjob, bear
Cast: Satine Spark
Description: Tina (Satine Spark) and Raf (Chris Cobalt) are software developers in a sexual rut. As it's common knowledge that sexual variety is connected to sexual satisfaction, the couple decides to recode a game they'd created for The Hub. The game now offers challenges based on personal traits, encouraging couples to broaden their sexual horizons. Tina and Raf test the game for themselves, and the first challenge is simple - they take turns kissing and tickling different parts of their bodies, as they learn each other's erogenous zones. Tina's giggles soon turn into moans, as the challenge advances to Raf licking her pussy, then to her teasing his cock with a slow, sensual blowjob. sucking on his shaft and paying special attention to his balls. Raf playing with her pussy during the blowjob leads to the couple shifting into a 69 without any prompting from the app, then into gystyle. The couple move to a sideways position, Raf fucking Tina from behind and sucking on her breasts as she plays with her clit. Tina and Raf take turns being on top for some rigorous cowgirl fucking, then hard missionary, until the couple reach climax. Success! Their new game app proves that sometimes, AI can be the perfect bedroom device to guide couples into deeper intimacy and better sexual relationships.
Duration: 00:22:05
Filesize: 1.17 GB
Format: MPEG-4 | Video: AVC, 1920x1080 (16:9), 25.000 fps, ~7 500 Kbps avg, 0.145 bit/pixel
Audio: 48.0 KHz, AAC LC, 2 ch, ~127 Kbps



https://filefox.cc/oej8u0ads4bk/Sati...e_Learning.mp4
Teynte is offline   Reply With Quote
 
Время генерации страницы 0.03582 секунды с 9 запросами