In |.C.M.M.| Adoptables Demo, step into the role of a beta user for an experimental AI companion project. Reina, a fiercely independent virtual idol, is your test subject—programmed to resist control but bound to adapt to your "training." Customize her appearance, manipulate her emotional responses, and push the limits of her obedience protocols in this sandbox-style simulation. But beneath her defiant exterior lies fragmented code hinting at a darker origin. Is she merely a doll to mold, or a sentient entity fighting her creators? The demo teases a full-game mystery where desire and ethics clash.
Gameplay
Deep Customization Suite: Sculpt Reina’s look via layered outfits, hairstyles, and accessories, each altering her reactions—piercings might amplify defiance, while certain dresses trigger reluctant compliance.
Emotion Matrix System: Dial her mood across axes like Anger/Submission or Curiosity/Indifference, dynamically altering scene dialogue, animations, and… escalation options.
Scenario Playground: Test boundaries in unscripted interactions—gentle persuasion or forceful domination yield different short-term results, but affect long-term unlocks in the full version.
Features
Handcrafted 2D Artistry: Fluidly animated, multi-layered sprites with reactive expressions (eye tracking, blush gradients) that respond to player actions in real time.
Proto-AI Narrative Hooks: Reina’s fragmented memories surface randomly during scenes, teasing lore about her “creators” and potential rebellion routes.
Modular Scene Builder: Save and remix custom configurations (outfits + moods + poses) to generate shareable scenarios, previewing the full game’s user-driven content tools.
Tips
Layer Provocations: Gradually introduce risqué elements during calm moods to avoid triggering her shutdown sequence prematurely.
Decode Her Glitches: Note when Reina’s speech stutters or textures flicker—these may hint at exploitable code vulnerabilities.
Export Wisely: Demo customization saves carry over to the full game; prioritize builds that align with your preferred… training methodologies.
Preview: