Original Summary

I’ve been building this side project around something that kept annoying me. ChatGPT is pretty good at looking at one row of data and making a judgment about it. But once you have tens of thousands of rows, it gets messy fast. Especially if you want to do something with those judgments afterwards instead of just getting a wall of text back. So I built Decision Cloud. The idea is basically that ChatGPT decides what it wants to know about the data, Decision Cloud runs those judgments across the file, then gives the structured results back to ChatGPT. I made a short demo using a fake recruiting database with 103k candidates because it was the easiest way I could think of to show what I mean. Still pretty early, so I’m mostly curious if the idea actually makes sense from the demo or if I’m too deep into it at this point. App is here if anyone wants to mess with it: https://decision-cloud.vercel.app/#top   submitted by   /u/antctt [link]   [comments]

中文概览

中文标题： ChatGPT 擅长判断一行，10 万行就变得奇怪

作者因 ChatGPT 处理单行数据判断效果好，但面对数万行会混乱且返回大段文本而开发 Decision Cloud：让 ChatGPT 决定需要了解数据的哪些信息，Decision Cloud 在文件上批量运行判断，再把结构化结果返回给 ChatGPT。他用含 10.3 万名候选人的虚假招聘数据库做简短演示。项目尚早，想确认思路是否可行，并提供应用链接。

  • 情报分类：开源项目与落地
  • 分类依据：作者介绍自建 Decision Cloud 项目及演示，用 ChatGPT 批量判断数据并返回结构化结果。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/29 05:59:47