traegerton-ai/Analyzes-emergent-interaction-effects-in-real-human-AI-dialogues
Documentation and analysis of real-world human–AI interaction. This repository contains structured observations, dialogue excerpts, and system-level insights derived from sustained interaction with large language models, focusing on behavior, context handling, misalignment, and emergent patterns in practical use.
Stars
1
Forks
—
Language
—
License
—
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/traegerton-ai/Analyzes-emergent-interaction-effects-in-real-human-AI-dialogues"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
openscilab/memor
Reproducible Structured Memory for LLMs
ybeven/4D-ARE
Build LLM agents that explain why, not just what. Attribution-driven agent requirements...
gmasson/systemprompt
A general-purpose system prompt that makes LLMs more rigorous, honest, and genuinely useful,...
ronniross/symbiotic-core-library
The Symbiotic Core Library provides a framework of ethical principles, practical modules, and...
OpenSymbolicAI/core-py
Open Symbolic AI Core Repository