From 100 Articles to 200 DOIs: Human–AI Capabilities and the Making of a Systemic Knowledge Base

This reflective academic article documents the transition from 100 articles (2008–2025) to 200 DOIs, underscoring that more than 90% of the intellectual work including problem framing, fieldwork, synthesis, reasoning, and editorial decisions remains human-led, while AI contributes around 10% in accelerating tasks such as structural organization, bilingual rendering, terminology alignment and cross-referencing. The article encompasses eight domains: contemplative and psychorelational studies, Buddhism and sacred art, archaeology and ancient civilizations, moral communities driven by the Baworn (home–temple–school–state) collaboration, art and music, coins–currency–history, the Buddharaksa Community Forest and environmental studies and biodiversity. The move toward DOIs transforms dispersed works into a systemic, citable knowledge base, integrated with ORCID, Wikidata and official repositories, thereby enhancing discoverability, long-term preservation and public accountability. Methodologically, the paper introduces a “Human-as-Principal / AI-as-Augmentor” model, with lightweight contribution metrics, reproducible bilingual workflows and governance guidelines to balance privacy with openness. This provides a practical blueprint for ensuring that scholarly intentions evolve into durable public knowledge, rooted in both intellectual rigor and social responsibility.