Autor: Glenn Kan
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AI-Assisted Metadata: Scaling Tags, Excerpts, and Internal Links Without Losing Editorial Control
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AI can speed up metadata work, but only if you treat it like assisted drafting with guardrails. This guide shows a safe…
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Newsletter-to-Site Repurposing: Turning Editions into Evergreen Web Hubs
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The best newsletters deserve a second life on your site. Here is a workflow to turn editions into evergreen hubs, improve internal…
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Content Refresh Playbook: Fighting Content Decay in Publisher Archives
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Content decay is real, but it is fixable. This playbook shows how digital publishing teams can audit aging posts, refresh them efficiently,…
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Przepływy pracy lokalizacyjnej dla wydawców cyfrowych: dostosowywanie treści do potrzeb czytelników na całym świecie
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Lokalizacja to coś więcej niż tłumaczenie. Ten przewodnik pokazuje wydawcom cyfrowym, jak dostosować treści, metadane, materiały wizualne, proces zapewnienia jakości i procesy publikacji do globalnych…
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Search-Ready Flipbook Landing Pages: Turning Digital Publications Into Discoverable Hubs
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Flipbooks are easier to discover and act on when each publication has a strong landing page. This guide shows how to turn…
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Personalizacja oparta na zgodzie dla wydawców cyfrowych: lepsze doświadczenia czytelników bez długu zaufania
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Personalization works best when readers understand the value exchange. This guide shows digital publishers how to use consent, preference centers, and first-party…
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Reusable Visual Systems for Digital Publishers: Making Charts, Covers, and Article Graphics Scale
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Reusable visual systems help publishing teams create consistent, accessible, and on-brand media without redesigning every article asset from scratch.
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Schema-First Content: Future-Proofing Digital Publishing Workflows
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Schema-first content modeling helps publishers reuse content across channels, reduce production friction, and protect quality as publishing workflows become more automated.
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AI Editorial Governance for Digital Publishing: A Practical Workflow for 2026
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A practical workflow for using AI in digital publishing without losing editorial judgment, quality control, accessibility, or search trust.
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Schema-First Content: Future-Proofing Digital Publishing Workflows
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Schema-first content modeling helps publishers reuse content across channels, reduce production friction, and protect quality as publishing workflows become more automated.
