
QuizForge — Build & Take Timed MCQ Quizzes
用 QuizForge 创建多选题测验,支持计时器、即时评分和答案详解。
@Omodaro_M · X
Check out what I just built with Lovable!
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用 QuizForge 创建多选题测验,支持计时器、即时评分和答案详解。
@Omodaro_M · X
Check out what I just built with Lovable!

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

@rdbuilds7 https://t.co/GUzBBuJlQ4
@MarwanMaherH · X

用AI快速生成更好的社媒回复,符合你的风格。
@kashifbuilds · X
Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!

完成12道测试题,检验你对数字收入方法的了解。
@XERECRAZY4hll · X
Check out what I just built with Lovable!

可从多个文档综合回答问题的对话AI,使用检索增强生成技术。
@alekhya2026 · X
Week 5 of @superdatasci AI Engineer Challenge — done. This week I: - Built multi-document RAG - Synthesized answers across sources - Deployed my first app on Render - Took my Digital Twin live on internet - Got my first taste of agentic AI Try here:

通过互动故事游戏和真实想法来发现志同道合的朋友。
@MoCha408 · X
为了更好的找到聊得来的朋友,我最近自己写了一个网站,里面是我vibe coding的一个文字型交互游戏,都是我的真实故事或者我思考的侧重点。玩了以后可以私信我你的昵称和你的思考,不然我是不知道你是谁的。我会不停的更新章节内容~(有bgm,建议带耳机且电脑端体验会更好)

实时多人竞答游戏,配有AI主持人、30+游戏模式和考试备考包。
@deebee230730 · X

在三个难度中猜蒂姆先生的数字,登上本地排行榜。
@TMTDigitals · X
Check out what I just built with Lovable! I am currently learning python programming. I wrote the entire logic of this game(Number guessing game) myself with python. I gave the zip file to lovable and prompted it to build a Web app(UI) for my logic. Enjoy

把文档转化成有引用出处的wiki,由AI独立验证答案。
u/Calm-Tomatillo-7770 · Reddit
Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.

通过AI分析图片来猜单词的Wordpeek游戏。
furyofantares · HN
Small games. One thing is I have it doing a LOT of visual verification of its results, which uses a lot of tokens. I also tend to throw some huge tasks it can't do yet and watch it burn a zillion tokens, and I usually learn more about where it's limits are and am sometimes happily surprised by its success or partial success. I'll infodump though. I built https://wordpeek.app https://scramble-quest.app and https://playsilhouette.app this year. Those are what I've shipped anyway, a number of other

IntelligenceMax: 解答自适应AI生成的谜题来训练推理能力,从错误中学习。
u/connerpro · Reddit
IntelligenceMax - Adaptive reasoning practice with live AI questions (claim-safe near vs far) submitted by /u/connerpro to r/SideProject [link] [comments]