Original Summary

I noticed that a lot of non-technical people don’t use AI to its full extent. Like they use the wrong model for the task, the wrong reasoning effort, or vague prompts. That gap between &quot;what the AI can do&quot; and &quot;what people actually get&quot; is what I wanted to fix.<p>So I spent the last two years in my spare time building a consumer AI product that tries to fix this issue.<p>This is how it works: When it receives the request, an LLM decides the task type (chat, reasoning, coding, writing) and the tool calls that are needed (web search, image generation, video generation, audio generation). Then it routes it to a suitable model and applies a prompt based on the task type. If it&#x27;s a media generation task, it rewrites the prompt into a detailed one using prompt formulas (the prompt formulas for specific styles are mentioned in the system prompt). The LLM that is used for answering the request can also use a map, generate a mermaid diagram, generate a quiz or flashcards, generate files, etc.<p>A limitation right now is that routing adds latency, but I&#x27;m currently experimenting with decision-models like Jev, PPLX Decider, etc. and might use decision-models to route to the right LLM and give the tool calls like web search and media generation to the answering LLM.<p>It launched this week, so it&#x27;s still early and I will keep improving it and adding new things.<p>Also sign-up&#x2F;in is required to prevent abuse.<p>I’d really like honest feedback: what’s confusing, what’s missing, etc.

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/10/18 17:11:39