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The Document Engineering textbook series (Vol 0– 5: Foundation, File Systems, Markdown, LaTeX, Citations, Diagrams), aimed at Vietnamese learners aged 14 and up, ships a patterns chapter in Volume 0 that teaches AI-era document workflows as a named, reusable vocabulary rather than as caseby-case advice. This paper specifies that vocabulary as an Alexander-style catalog of seventeen orchestration patterns covering verification, context discipline, drafting, critique, persona use, information provenance, and audit cadence. Each pattern is presented in fixed format — intent, problem, forces, solution, consequences, related patterns — derived from the canonical pattern-language tradition that runs from Alexander's 1977 A Pattern Language, through Gamma et al.'s 1994 Design Patterns, into the contemporary prompt-engineering pattern collections of White et al. 2023 and Schulhoff et al. 2024. The patterns are synthesised from three primary literatures: the 2022–2025 prompt-engineering technique literature (chain-of-thought, selfconsistency, self-refine, ReAct, tree-of-thoughts, the systematic surveys), Lin Z.'s 2025 Nature Biomedical Engineering account of mature academic AI use, Goldsmith's 2025 Markus Academy agentic-hierarchy formulation, and the 2024–2026 Human-inthe-Loop / cognitive-debt empirical literature (Bastani 2024, Kosmyna 2025, Lehmann 2024, Mollick 2024). Each pattern names a concrete operational situation in document work, the forces that make naive defaults fail, the structural solution that resolves the forces, and the trade-offs the solution incurs. The catalog is engineered to be deployable in a single Volume 0 chapter at audience floor 14 and up, to remain stable across at least one model-generation cycle, and to compose with the Foundation Principles set produced in Layer H Node H1.1. Three open questions are flagged: granularity drift as the agentichierarchy frame matures, the absence of empirical replication of each pattern at K-12 scale, and the partial cross-cultural transfer of pattern names into Vietnamese.
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ElSohly Laboratories (United States)
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www.synapsesocial.com/papers/6a056795a550a87e60a1faaf — DOI: https://doi.org/10.5281/zenodo.20131568