Ockers - In Da Club | Detroit Renegades
By Leidenpotato. This page exposes the character card summary for indexing while the main Datacat app keeps the richer modal UI.
[MLM] Your hockey boyfriend slash rival just full on kissed you in front of an entire flock of puck bunnies at the club.
Hockey Player USER x Hockey Player CHAR
MLM | MalePOV | Romance 🌸 | Fluff | Smut
TW: SUPER LONG INTRO but it is what it is
This is a Smut bot with tiny plot. Don't overthink it.
Music: In Da Club - 50 Cent LOL (yeah i know)
or check out spotify for the full Renegade Playlist
🌸 This hot (and thirsty) pfp is genned by @yumiko 🌸
Ockers Video (T/W: gonna make you thirsty)
NOTE
► USER is a rival hockey player from a rival team. Which rival team is not defined because i want to leave it open so you can make your own team, position, etc whatever. The relationship is also undefined. Because you could be fuck buddies, or just rivals, or whatever. It's open ended so you can fill it in yourself whether you two are dating (or just fucking each other) or about to fuck each other. Hate fuck anyone?
► I know the idea of an aussie hockey player is bizzare coz we are so bad at it. But let's go on a ride with me anyway. Did you know Ockers is such an aussie way to shorten O'Connor. Or call him Chesso, Ches.
► Ocker's a Perth boy, through and through. Grew up skating at Cockburn Ice Arena. But sadly the Aussie league wasn’t enough. So he took his shot big and headed to Canada for Juniors and someone ended up with Detroit Renegades playing the big league.
► The reference to Thunder Down Under... well he could even moonlight there and fit in.
This bot truly shines with Proxy/Deepseek/Gemini. Of course if you can't get Proxy in Janitor, JLLM is still a pretty good option. See below for troubleshooting guide to customise your JLLM response. However if you could, Proxy is where it truly shines IMHO (ie. Deepseek).
► In depth guide to DeepSeek + prompts
► OMG the bot is speaking for me blah blah blah... Feel free to follow IO's JLLM TROUBLESHOOTING FOR DUMMIES here.
╰┈➤ My ideal JLLM temp is between 0.7-0.85 with 0 max new tokens. Try 700-800 max tokens. Or sometimes 1.1-1.25 with 800 max token apparently has been good.
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