
Tavyn AI | The Enterprise Intelligence Layer
部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
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部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @

在Bind AI中使用Claude、GPT和Gemini编写和运行代码,然后部署到Vercel。
@bind_ai · X
We got tired of juggling model subscriptions and editors, so we built Bind AI One tab: Claude, GPT, Gemini, an IDE that runs the code and ships it to Vercel Heads down on the shortest path from idea to application #vibecoding

上传 AI 项目代码,自动化开发规划、部署和生产集成。
Haven — vibe coding 部署平台,上传 ZIP 或连接 GitHub/Gitee,AI 梳理需求并补齐支付、多用户、日志安全、运维等环节,一天内交付可对外服务的产品

在几秒内审计您网站对ChatGPT、Claude和Perplexity等AI搜索引擎的准备情况。
@isreadyai · X
We help check if AI agents can read your site 💚 Free scan, no signup: — 32 checks in 5 seconds across GPTBot, ClaudeBot, Perplexity & more.


信风AI搜索100+渠道的外贸客户,自动通过邮件、WhatsApp、社媒、电话联系。
信风 AI 外贸获客智能体 — 每周 AI 全网实时搜索获取高质量线索,自动化拓展终端客户/经销商/合作伙伴,快速布局海外市场 - [更多介绍](https://www.trade-wind.co/compare)

使用 FRAI 扫描网站中的 AI 使用情况,并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

AI 驱动的业务平台,使用智能代理自动化运营并替代多个工具。
@Ramona053764691 · X
Hey Adam! Bouwen aan Zynthoro AI-native ERP met 4 AI agents die samen een heel bedrijf runnen. XPRIZE genomineerd, gelanceerd op 30 juni. Jouw verhaal spreekt me aan zou graag connecten! 🚀

通过AI聊天界面查询公司文档和内部指南。
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us

UseMoney AI 是印度市场的AI投资组合管理工具,支持统一管理、模拟交易和财务规划。
@deepshaswat · X

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
