Are AI Tools Actually Making Us Productive — or Just Giving Us Something New to Play With?
说明与用途
AI 助手虽然强大,但仅充当顾问,用户需要在多个应用间复制粘贴,导致上下文丢失和生产力下降。多模态 AI 工作区让 AI 能在编辑器、文档、电子表格、幻灯片等工具内直接操作,弥合这一差距,提升效率。
问题
AI assistants are powerful but act only as advisors; users become couriers, copying output across many apps, losing context and productivity.
结果
The author identifies the courier problem and proposes a multimodal AI workspace (e.g., Xenition) as a solution to integrate AI actions directly into the tools used, improving productivity.
工作流
- Open AI chat and request code model
- Copy code to editor
- Request API route, copy and tweak
- Request migration script, copy and tweak
- Draft documentation, paste into doc, reformat
- Generate spreadsheet formulas, copy into sheet
- Create slides, paste into deck
- Repeat for each task
证据
I became a courier… I had to copy the AI’s output from one window to a dozen windows it couldn’t touch.
The AI was smart, but it couldn’t act inside the tools I used.
Xenition… one persistent chat where the right surface opens itself… agents that don’t just answer but take multi‑step actions.
- 记录日期: 2026-09-06T23:52:03.387Z