Markdown became the default AI output under three assumptions. All three made sense in 2022. None of them hold in 2026.
5 Matching Annotations
- Last 7 days
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generativeai.pub generativeai.pub
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Premise 1: Humans hand-edit content. Markdown was designed for people who write and revise their own text. That’s how blogs, docs, and READMEs still work. But agent output is different. You send a prompt. The agent generates a 2,000-word analysis, a code review, a project plan. You read it, maybe share it. You almost never open it in an editor and start rewriting paragraphs. The format’s core value proposition — easy to edit by hand — no longer matches the use case.
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Premise 3: Output is read-only. The old workflow was linear: prompt, generate, read, close. But the agent era is pushing toward something different. Users want to interact with the output: filter a table, adjust parameters, compare options side by side, export a subset, feed the result back into the next prompt. Markdown can’t carry interaction. It’s a one-way street.
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- May 2026
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simonwillison.net simonwillison.net
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Asking Claude for an explanation in HTML means it can drop in SVG diagrams, interactive widgets, in-page navigation and all sorts of other neat ways of making the information more pleasant to navigate.
HTML提供了比Markdown更丰富的交互性和可视化能力,使AI生成的解释更加直观和易于理解。
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- Apr 2026
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www.producthunt.com www.producthunt.com
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The output is technically a UI, but it's nobody's design system.
这一观察揭示了AI生成设计与实际设计系统之间的根本差异。虽然AI可以生成技术上有效的UI界面,但这些设计缺乏与特定设计系统的连贯性和一致性,导致设计师不得不丢弃这些生成内容重新开始。这表明当前AI设计工具在理解和应用设计语言方面的局限性。
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