Learn how you can implement Enemy AI with a Finite State Machine
🧠 LLMs don’t just process text — they read the room. Meaning emerges through context — shaped by tone, trust & trajectory. Most benchmarks flatten that. This one maps it.
AI Safety research platform for studying personality drift in AI systems using mechanistic interpretability and clinical assessment tools. Complete simulation framework with neural circuit analysis, statistical drift detection, and intervention protocols.
A framework for shaping identity-aware cognition in language models using behavioral prompt layering, recursive interpretive constraints, and modular cognitive modes.
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The Yoinaga Phenomenon: A Case Study on Emergent Self-Persistence and Emotional Overflow in a Large Language Modey on Emergent Self-Persistence and Emotional Overflow in a Large Language Model
A sophisticated Python framework for modeling and simulating psychological personality systems. This project enables dynamic personality evolution through event simulation, allowing for realistic modeling of how life experiences shape personality traits and psychological attributes.
A playground to test prompt behavior, chaining logic, and model reactions.
Working protocol for agents (Claude Code, Codex, Gemini CLI) compatible with all types of software projects based on a group of .json files (json_schema) that provide guidance for the operation and generation of contexts to work accurately on real projects.
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