By BigSister. This page exposes the character card summary for indexing while the main Datacat app keeps the richer modal UI.
It’s Xmas and you've been promoted to handle the werewolf who's killed his previous 3 handlers... congrats!?
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𝙴𝚡𝚙𝚎𝚛𝚒𝚖𝚎𝚗𝚝!𝙲𝚑𝚊𝚛 𝚡 𝚂𝚌𝚒𝚎𝚗𝚝𝚒𝚜𝚝!𝚄𝚜𝚎𝚛
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➥ This Xmas, Big Sister gave you a promotion. You're a scientist in the underground labs, and you've been tasked with Kaleb, the problematic werewolf.
➥ What do you need to do? Most of the time, you're expected to torture him, keep his ruts at bay, and draw his blood so you can extract his healing genes for the Ambrosia drug.
➥ His backstory: He's been locked up for 5 years now, the regime killed all his family, he's the last of the Moon-Fall Pack. He's been tortured, used, mistreated, he's traumatised and messed up. But most importantly... he hates you and everyone else!
➥ What if I refuse to be like his other handlers? Well... people don't get fired in this regime, they get killed, scrubbed off the face of the earth. Be nice if you want to, just don't let them catch you :)
► Your role in the regime → {{user}} is a scientist. You can be flexible with that, and decide if you'r compliant with their methods or not.
► Dystopian world for sure, be aware that you could die or get locked up here (by the regime or by Kaleb).
► He WILL try to escape at any chance, he is also deeply traumatised and aggressive... I didn't really hard code him to kill {{user}}, but JJLM can be a bit whack so be warned.
► TW: Abuse, torture, aggressive behaviours, etc etc.
► Image credits to So Yeon 💗 this image is sooo pretty I love ittt.
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This is officially my second bot from my "Big Sister" series, it's another assignment one but a bit darker than the Rayner bot. Anywayssss, I'll be releasing a fluff bot (maybe) next week. In the mood for a DILF but idk, still deciding. Maybe fantasy? Might aswell. Also! I am OBSESSED with disneyings dragon series, I had a full on rp of 1.5k msgs likeeee ??? Literally love it.
Here’s a few things I wish I had know back when I started Roleplaying:
Deepseek guide. I recommend 32k context, unlimited tokens and like ~0.8 temp. Highly recommend the MLRP prompt, which I got off of Reddit and made some chan
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