Ten Accessible Introductions to the Decalogy on Artificial Intelligence

Abstract

This volume collects ten short papers, each providing a non-specialist entry point into one paper of the Decalogy on Artificial Intelligence (Ahn, 2026). The papers are numbered to correspond: Entry Road 1 introduces Decalogy Paper 1, and so on. Topics include: why AI-generated text sounds generic and how prompt architecture changes the output (Paper 1), how to extract more value from existing AI subscriptions by understanding representational convergence (Paper 2), a non-expert's verification guide for trusting AI output using cross-domain checking (Paper 3), why AI behavior appears unpredictable and how structural understanding makes it predictable (Paper 4), the Task Assignment Paradox — why AI cost-cutting fails at the workflow level (Paper 5, also published as a standalone paper), what AI cannot replace and what that means for career strategy (Paper 6), how to automate using hardware you already own via signal interface density (Paper 7), why AI compute bills grow and the structural economics behind it (Paper 8), how to recognize and use the data your organization already generates (Paper 9), and the smallest viable AI strategy — join existing pipelines rather than building from scratch (Paper 10). Each paper is self-contained and assumes no prior reading.

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