
MixRoute: One API for 200+ AI Models
通过统一 API 访问 200+ AI 模型(Claude、GPT、Gemini),支持自动故障转移。
@MixRoute_ai · X
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通过统一 API 访问 200+ AI 模型(Claude、GPT、Gemini),支持自动故障转移。
@MixRoute_ai · X

针对AI角色测试创业想法,数分钟内获得验证信号。
@gaurangbuilds · X

Claude 和 GPT API 网关,官方账户,价格优惠。
@bit_hanghai · X
我做了一个 AI 中转站,今天正式开放: 一开始做这个站,想法很简单。 主要是我自己平时 Token 消耗量大,身边也有不少朋友一直用不上稳定的 Claude / GPT。不是订阅麻烦,就是各种限制;去找别的中转,又总担心不靠谱、信息不安全。 所以干脆自己搭了一个。 做 AI 中转站也是一样,稳定靠谱依然是我们的标签。 目前站里支持 GPT、Clade 等模型,底层用的是官方正规订阅账号池,不是乱七八糟的灰产号。价格这块也尽量压到较低,最低大概 0.7 折。 有问题可以直接私信我。 不跑路,出问题我负责。 用完觉得值,帮我转一下。

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

与AI角色扮演伙伴练习面试、谈判和高风险对话。
@auditormusic19 · X
Building iGrow, an AI roleplay app to practice high stakes conversations before they happen. Check it here:

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · 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

检查 AI 模型推理过程和接地性。
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

为企业员工提供智慧孪生AI助手,保存机构知识和判断力。
@romanbodnarchuk · X
Check out what I just built with Lovable!

评估AI系统是否符合负责任和道德AI实践。
@TheWhiz351 · X
I built two versions of the same responsible AI app using different vibe-coding platforms. Perplexity Computer: Base44: Try both. Which has the better design and user experience? #VibeCoding #ResponsibleAI

一键生成多个 AI 模型的图片,方便对比效果。
ShotAI — 一键生成多个 AI 模型的图片,方便对比效果