Paper 23 — Human-Centered Structured Verification: From Claim Decomposition to Research, Planning, and Social Consensus in the AI+AGI Era

This working paper introduces Kolla as a human-centered structured verification environment for the AI and AGI era. The paper defines human-centered structured verification as a process by which external texts, public claims, articles, papers, policy documents, technical white papers, corporate claims, advertisements, market narratives, institutional reports, and AI-generated outputs may be decomposed into claims, grounds, assumptions, missing premises, evidence references, contradictions, counterarguments, structural roles, unresolved points, and verification candidates. The paper also addresses the professionalization of user-provided items, including ideas, questions, hypotheses, plans, arguments, early-stage proposals, and responses to AI outputs. Such items may be transformed into more structured forms suitable for editorial analysis, planning, research, collaborative inquiry, institutional review, or social-consensus-oriented discussion. The framework does not present Kolla as a summarization tool, search engine, general-purpose chatbot, automated truth judge, popularity-driven discussion board, investment or capital-connection platform, or direct execution system. It positions Kolla as a structured public reasoning environment that supports human judgment, editorial analysis, planning, research, mutual verification, and social consensus without replacing human or institutional responsibility. This working paper is Paper 23 of the AGI Structural Alignment Series.