The AI Agora: From Everyday Questions to Citable Knowledge
Year: 2026
Type: preprint
Abstract: A non-peer-reviewed conceptual research preprint proposing a six-stage entry-cost framework for AI-assisted first-time independent research, an illustrative single-person first-publication process trace, and the AI Agora / Research Tree design hypothesis for evidence-grounded collaborative verification. There is no AI-free control condition or population-level evidence; this paper does not estimate causal time savings or improved first-publication rates. Complete manuscript: https://github.com/tina1yan/portable-ai-memory-life-os/blob/main/research/ai-agora/PAPER.md
Author: Yan, Tina Qiaotian
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7222884633
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