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I've been advocating heavily this approach since January for non-coding use. The important property is an editable, understandable (by LLMs and humans), and renderable source-of-truth that can be incrementally modified.

I talk to laypeople about their AI work -- I am constantly doing this, inserting myself into AI conversations on the street like an anthropologist when I encounter them...

HTML artifacts are the new browser URL bar, wherein some users have a mental model that that bar is actually Google.

Many people now talk about their "spreadsheet" or their "presentation" or "marketing tear sheet", or "slide show", "competitive analysis", "hvac system diagram" or whatever the thing they were working on and how lame it was working with ChatGPT or Claude Web.... and how miraculous Claude Code or OpenClaw is with creating these new documents...

I will ask them what the documents actually are and what the difference in experience was. It takes a lot of teasing (because they don't have the computing vocabulary yet) or having them show me, and it will always come down to that the artifact is HTML.

Their pleasant experience is that it is iterating on an HTML file (+CSS +images) living on a filesystem with high quality instant rendering; plus it can sprinkle JavaScript when it needs to. It might even revision control it without them knowing if there's a git system. [I suggest they checkpoint their work if they don't; revision control is the next stage of learning for the laypeople?]

Whereas the Web-embedded experiences are stabbing multiple times on a DOCX/PPTX/XLSX lingering in a context window and a vague notion of local storage (rendered as HTML anyway in a sidebar), etc. The HTML workflow also allows other media to be integrated much more easily.

So really all this presentation work is Vibe-Coding by the masses; they don't need to know about all the turtles underneath them. But if they are willing, they could crack it open and see and edit it; or easily hand it off to another agent.

Go figure that the system created for collaborative multimedia communication ends up being useful for the machine intelligence to help us communicate.



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