An experiment using Jev to generate landing pages in real time. Jev is great at picking between different options so I attempted to break down the langing page UI into a set of choices for the model to choose from.
How this works: 1. Users type what kind of page they want and Jev decides what each line is (headline, fact, assertion etc.) 2. Jev makes choices for each layer of the page (opening, stage, light, depth etc.). Parameterizing design is hard (impossible?) but this took some tuning with Claude 3. A full page is constructed with a single call of about 90 questions.
Of course using an LLM would be more prudent for step 1, but I wanted to check the limits of Jev's understanding (it works pretty well in my opinion!).
Comments URL: [https://news.ycombinator.com/item?id=49955930](https://news.ycombinator.com/item?id=49955930)
Points: 1
source & further reading
github.com — original article
Docent- An Open Source Private AI assistant in your terminal
Show HN: Stateful Linux microVMs for coding agents
GPT_Handover_Prompt.md