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Inspiration Behind the Project

In my daily work, I often use AI to recommend useful websites, but I have to input prompts each time. I wanted a tool that could actively recommend and explore more prompts, discovering more interesting websites. Based on this idea, I started thinking about how to implement it technically.

Feature Analysis

1. AI recommendations based on input prompts
2. View historical information
3. Deep prompt exploration

Technical Implementation

Looking at the most basic functionality, a simple interaction interface can be implemented using just html, js, and css. For the AI model, I used openrouter because it offers free model usage. This AI tool is just my initial implementation of the idea. We shouldn't always think about building complex technical solutions to meet our needs. We need to quickly validate ideas because we're not sure if what we create is what users actually need.

Code Structure

With the help of the AI tool cline, I built the following project structure

Using vite+wrangler, where vite handles building and compiling our project to generate the dist deployment directory, and wrangler handles deploying our project to cloudflare pages. Through these tools, we easily implemented our ideas.