elvis@omarsar0

2026-05-30 23:52·33天前

AI 摘要

在需要长时间运行的动态工作流、大型代码库处理或深度研究任务中，聊天窗口不足以展示成果。HTML Artifacts提供了必要的验证与决策层，已成为作者与AI智能体协作的核心界面。作者将其广泛用于日志记录、实验跟踪、头脑风暴、代码审查、智能体会话管理、深度研究与写作等场景，并构建了标签页系统进行管理。文章最后引用Karpathy的观点：随着智能体应用走向更高级、输出更复杂，我们将需要包括交互式神经视频/模拟在内的更高级交互形式。

Increasingly， HTML Artifacts are becoming a core part of how I work with AI agents.

Long-horizon agent sessions need a better way to surface insights about what work it has done.

This may not be obvious right now， but as you start to let your agent work on dynamic workflows， large codebases， long-running loops （e.g.， using /goal）， and deep research tasks， you need a good way to present results. Chat window is not it.

You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer， which in turn enables important decision-making.

I like HTML artifacts because I can just ask the agent to produce as many of them （and in whatever form） as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research.

I use HTML artifacts for logging， tracking experiments， brainstorming， managing my inbox， code reviews， agent session management， deep research， writing， reading， and so much more.

I believe @karpathy wrote about this somewhere： As we move on to more advanced applications of AI agents and outputs get more complex， we will start to find the need for even more advanced forms of interactions with AI， including interactive neural videos/simulations.

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2026-05-30 23:52·33天前

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AI 摘要

Increasingly， HTML Artifacts are becoming a core part of how I work with AI agents.

Long-horizon agent sessions need a better way to surface insights about what work it has done.

You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer， which in turn enables important decision-making.