@romanbodnarchuk · X

Check out what I just built with Lovable!

@RarhibMouad · X

@amir_mehrabi_ · X

: Personal Intelligence

@tryspectr · X

@SamirS58890 · X

world's suffering

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.

@ShantMele · X

@AshiveCompany · X

u/CogniKing · Reddit

Play Parry — a 2-minute daily puzzle about catching AI's mistakes: spot the planted flaw, catch the answer that's lying to you I have been recently fascinated with puzzles as a way to help improve my BS-radar when using AI. I designed Parry to help with this - One puzzle a day - find the one flaw hidden in a confident paragraph, pick which of two AI answers actually helps you (one is subtly useless), call a claim true/false. Free, no account, nothing you input leaves your devi

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

@Puneeeeeeet · X

We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

@gigi2026tcsp · X

Check out what I just built with Lovable! I've spent month working on this. Teachers, Check it out!