@10xmylife: When I was 24, I thought the ideal AI product should operate based on intent, making different choices according to the…
Summary
The author argues that ideal AI products should operate based on user intent and environment without explicit input, criticizing outdated Q&A interactions and noting that emerging products are moving towards this vision.
View Cached Full Text
Cached at: 09/22/26, 01:53 PM
When I was 24, I thought the ideal AI product should operate based on intent, making different choices according to the scene.
Q&A-style interaction is really too outdated. You have to ask humans to open an input box and type in the question, or use voice input to describe the need—it’s just absurd, way too primitive.
If your AI is smart enough, you don’t need to do any of this input at all; it can make decisions based on the environment.
When I think of something, the AI has already done it for me—that’s the real Aha moment.
These past few days, I’ve seen a bunch of Jev-related products, like ones that let Jev choose what content to paste, or Jev input methods.
I feel like the ideal product form is on its way.
Similar Articles
I think we’re having the wrong conversation about AI.
The author argues that AI conversations should focus less on better models and more on using AI to develop human expertise, judgment, and critical thinking, reshaping AI literacy to help people grow beyond mere prompt usage.
Early AI chat interfaces remind me of command line thinking. I wonder when the GUI equivalent shows up.
A reflection on how early AI chat interfaces resemble command-line interaction patterns, and a speculation about when a GUI-like paradigm shift will emerge for AI interactions, where the AI can directly observe and act on the user's context.
@browser_use: AI is so capable that the limit has become our imagination. One of the biggest problems with AI is that we don't know w…
The article discusses how AI's growing capabilities may shift interaction paradigms, with AI prompting users based on their desires to help achieve goals, similar to recommender systems.
Why is every AI interface still just a text box?
The author questions why consumer AI products still rely on a plain text box and an unstructured pile of chats, arguing for basic UX features like topic-based chat sorting, automatic splitting of wandering conversations, and easily accessible memory controls.
are ai products getting personalization wrong by relying mostly on chat history?
The article questions whether AI products over-rely on chat history for personalization, noting its noisiness and suggesting that summaries, tags, and preference fields have shortcomings. It seeks alternative sources of truth for context without becoming intrusive.