HumanPersonaBase: A Language-Agnostic Framework for Human-like AI Communication

The Problem: AI Sounds Like AI GPT-4.5, when given a human-like persona, was identified as human by 73% of evaluators — surpassing the recognition rate of actual humans (Jones & Bergen, 2024, PNAS ). The bottleneck for human-like AI has shifted. Semantic understanding is solved. What gives AI away now is how it communicates: Instant replies — humans don't respond in 2 seconds Uniform tone — same polished style every single time Flat emotion — no emotional arc across a conversation No memory — never references what was said before Too perfect — "I'll finish in exactly 3 days" feels robotic These are paralinguistic features — a separate layer from language understanding. The Solution: A Behavioral Base Class I built human-persona , an open-source Python framework that provides the behavioral layer for human-like AI communication. It doesn't generate text — it tells your LLM when to reply, what tone to use, what emotional state to convey, and when to hand off to a human . The framework de