说话人 1: 应该是收到了，还没来
说话人 1: 反正我
说话人 2: 现在开着
说话人 2: 这什么
说话人 1: 打不出来，对，这个话
说话人 2: 他
说话人 1: 他要晚一个
说话人 2: 小时，你先洗澡
说话人 2: 会了
说话人 3: 那再换一个
说话人 3: 没事没事，死不了
说话人 3: 放心
说话人 1: 死是肯定
说话人 2: 死不了，不然你黑了，里面没
说话人 1: 怎么了
说话人 2: 可以再睡一觉
说话人 2: 对的，不买
说话人 1: 要买
说话人 4: 对
说话人 1: 有点词穷，已经测过来
说话人 2: 谢谢了
说话人 2: 我谢的不是
说话人 1: 男朋友
说话人 1: 为什么
说话人 2: 是谢老板哦
说话人 1: 奇怪
说话人 4: 诶，他想当男朋友
说话人 1: 不要嘛，想当
说话人 3: 老板啊
说话人 1: 本来就不想当
说话人 1: 我没有什么想知，我没有什么特别想知道
说话人 3: 那你再想想
说话人 1: 不过有一点好处，但是犯贱
说话人 2: 你呀
说话人 4: 最大儿子为什么会折磨你
说话人 4: 拿下
说话人 1: 哈哈哈哈哈哈，这不是保护听力吗
说话人 1: 不然
说话人 4: 你听力那么好有什么用
说话人 4: 不然
说话人 1: 就会被听力降死
说话人 4: 对，不是我的目的
说话人 3: 做完了
说话人 1: 做完了吧
说话人 3: 买披萨的时候能不能给我看一眼
说话人 1: 然后
说话人 3: 看看我要吃什么
说话人 3: 我在喝什么
说话人 4: 行行行
说话人 1: 谢谢你啊
说话人 4: 对，偷偷下的
说话人 3: 那么
说话人 1: 没
说话人 4: 又不问，你又不给我看，又不问
说话人 4: 你不会问我一句有没有东西要吃的
说话人 4: 嗯呐，反思一下
说话人 1: 对啊，看不到没东西怎么又不能买吃的
说话人 1: 就这个，一会你帮我看一下
说话人 1: 随便，反正就是随便买点酒，但是反正没有比心到什么都没有
说话人 4: 什么什么鬼店
说话人 1: 什么都没有
说话人 1: Like literally it has nothing.
说话人 4: 只有这家店了
说话人 1: 吗
说话人 1: 有，都可以，你选别的也可以啊，随便哦
说话人 1: 这好像还有别的，反正我刚刚点进去发现是它什么都没有了，它除了啤酒，先
说话人 4: 挑，好吧
说话人 4: 先挑
说话人 4: 妈
说话人 1: 打你
说话人 4: 你打我
说话人 4: 笑
说话人 1: 就这个啊
说话人 4: 烦
说话人 1: Yeah, why?
说话人 4: But let me change soon.
说话人 1: 然后你会发现我在厕所里出不来
说话人 4: 所谓我只要爽到了就可以了，管他
说话人 1: 的，明天一整天就看到我在里面疯狂的拉屎
说话人 2: 是不是
说话人 4: 真的
说话人 4: 我现在要是喝一杯纯牛奶，喝一杯酸奶，我看你怎么死
说话人 1: 我不骗你的，我不觉得你在骗我，我觉得你说是真的，所以我觉得你变态
说话人 4: 想想就爽，主要就是有，就是也不用等你真喝下去点到了，我现在想想就很爽
说话人 1: 变态哦
说话人 4: 要不要变态
说话人 1: 这也不是要变态，要你变态可以接受，别人变态就算了
说话人 4: 点个大杯酸奶
说话人 1: 什么
说话人 4: 东西
说话人 4: Bloomingdocks.
说话人 4: 那我更要买
说话人 1: 这是这样的
说话人 4: 吗
说话人 4: organicyogurt 这些应该好喝
说话人 1: 吧
说话人 1: Organic.
说话人 1: But our nature.
说话人 1: 抖了会影响到买酸奶吗
说话人 4: 行吗
说话人 4: 够了会看不清
说话人 4: 对啊，跟车上看不清字不是
说话人 1: 一样
说话人 1: 好，懂了懂了
说话人 1: 那行
说话人 4: 完蛋了，酸奶买来自己
说话人 4: 心态好
说话人 3: 得很
说话人 1: 笑死我呢
说话人 4: 笑笑，你点外卖要跟我说知不知道，我万一想买个面包呢
说话人 1: 哦，好的，一会跟你说
说话人 4: 你后面是 two that' s where you want
说话人 1: 你是有可能会忘的，不许忘，但这很难说，很难
说话人 4: 控制
说话人 1: 这怎么那么preparation
说话人 4: 控制知道吗
说话人 4: 什么叫控制
说话人 4: 萌萌主打的是什么
说话人 4: 是不是控制要践行在人的身上的好不好
说话人 1: 懂
说话人 4: 不懂啊
说话人 4: 创始人自己都做不到，这产品怎么做得到
说话人 1: 一套一套的
说话人 1: 怎么做到的
说话人 1: 你怎么做到的
说话人 4: 你怎么做
说话人 4: 你怎么做不到
说话人 4: 我怎么做得到
说话人 1: 钰源，你怎么做到的
说话人 1: 你
说话人 2: 一套一套的，怎么
说话人 1: 会去
说话人 1: 这
说话人 4: 是一，那个大瓶，昨天那个大瓶是一升的还是500
说话人 4: 这
说话人 1: 应该一升
说话人 4: 我买个大的这点小事都做不到，还是我们产品有控制
说话人 4: 我才不信
说话人 1: 还凶我
说话人 4: 是不是这么像
说话人 4: 是不是什么叫控制啊
说话人 4: 我在创始人身上都没看
说话人 2: 这控制是他们的
说话人 2: 是控制的，他们的这个程序怎么就控制
说话人 1: 人
说话人 4: 有什么区别啊
说话人 1: 人跟程有
说话人 4: 区别啊
说话人 1: 没有吗
说话人 2: 咬我
说话人 1: 不咬你了，亲
说话人 1: 你给你买个，咬你肯定很痛的
说话人 4: 给你买个西服放在
说话人 1: 床边等的，咬你肯定很痛
说话人 4: 哎呀，谁让你亲好了，一升牛奶 500 克
说话人 1: 酸奶
说话人 1: 我删东西，我把这个删了，我不要这个东西，把这个给删了，你帮我把删了，点
说话人 4: 不到，太粗了
说话人 1: 掉点这个才可以
说话人 1: 对的，删掉好了
说话人 4: 满意吗
说话人 4: 一升牛奶， 500 克的酸奶
说话人 1: 你买一升牛奶啊
说话人 1: 这么疯狂啊
说话人 1: 什么点
说话人 3: 喝死
说话人 1: 又不是给我喝的
说话人 1: 我也不喝
说话人 3: 大腿拉开
说话人 2: 拿不出来了
说话人 2: 小胖
说话人 1: 你吹完了吗
说话人 4: 真的吹
说话人 4: 咋不
说话人 1: 可以
说话人 1: 我是
说话人 2: 这个问题，我以为你吹了
说话人 1: 然后又进入了payments
说话人 3: 没有顺势啊
说话人 3: 哪里看出来顺势
说话人 2: 你现在没有特别实的人，再平复一下，现在还不太没有到那种像那种非常平静的状态
说话人 3: 正常什么观
说话人 2: 呢
说话人 2: 正常就没有啥太久就变了
说话人 3: 比你老
说话人 2: 比我老
说话人 2: 跟我没什么好
说话人 2: 我也不在乎老
说话人 3: 你还在乎变丑，就不在乎
说话人 2: 外貌
说话人 2: 我不在乎你变丑，我在乎你变丑
说话人 2: 有些人你要是变丑，自己看自己变丑的人生气没有难受
说话人 3: 我要买个美颜
说话人 2: 镜子，这是靠这个东西能解决
说话人 3: 的吗
说话人 2: 什么东
说话人 2: 那你那个解决不
说话人 2: 变丑也太简单，行不行
说话人 2: 随便你， i don' t care，反正就只要你不要看着自己难受就行，一天生气多了，到时候看自己就难受
说话人 2: 这是什么
说话人 2: 用途在哪啊
说话人 2: 我不就
说话人 3: 最蠢
说话人 2: 我不挑的
说话人 3: 我挑的
说话人 2: 我有些不太理解你挑的，然后我，虽然我不知道你调这调什么的，但是你可以先不调一下
说话人 2: 嗯，你可以自己调，然后把嘴巴露出来，你可以一边调一边切
说话人 2: 你又推不动，你为什么你又推不动
说话人 2: 何必愤怒
说话人 2: 那还没有这个天赋
说话人 2: 你有点土气
说话人 3: 让他不用跟我说话
说话人 2: 谁不想跟你说
说话人 3: 你看增加跟我说话的时间，工作效率不高
说话人 2: 你是怎么解读出来这么一个东西
说话人 2: 我
说话人 3: 一想到你要喝酸奶心里就很爽，我该怎么办
说话人 2: 你变态
说话人 3: 你别的也没有很开心，但一想到你要喝酸奶我就很爽
说话人 3: 今天晚上好像没有比这更开心的事情了，好变态
说话人 2: 你变不变态啊
说话人 2: 哈哈哈，怎么会有这样的人，我不理解
说话人 2: 你应该是个变态吧
说话人 2: 你继续，你想吧，你开心什么
说话人 2: 奇怪的人，真的是想让我喝酸奶就开心
说话人 2: 这什么人啊
说话人 2: 这个是不是人，对吧
说话人 2: 现在你说的是不是人
说话人 2: 不是，所以我估计是不想
说话人 2: 想当人
说话人 2: 想当人谁讨厌你在说什么
说话人 2: 不行
说话人 2: 屁都不行
说话人 2: 感觉需要拆一下，不然他现在心态不太平和
说话人 2: 谁啊
说话人 2: 你
说话人 3: 这什么理由
说话人 2: 会心态平复
说话人 3: 不知道我在气
说话人 2: 什么
说话人 2: 就是你真的
说话人 3: 看来没那么生气，我脑子有李硕说的话
说话人 3: 干嘛啊
说话人 2: 快点干
说话人 3: 什么意思
说话人 3: 功能性
说话人 2: 就是表达一下
说话人 3: 表达什么
说话人 2: 表达喜欢你，然后你在那边就，然后至少要心态正常，最好不要是太过于变态的
说话人 2: 那是
说话人 3: 不可能的
说话人 3: 半个小时之后方案没发完，现在可有盼头了
说话人 3: 我跟你说，我今天起码要熬夜
说话人 4: 熬到两点
说话人 2: 不信
说话人 3: 就冲着我要的那个方案
说话人 2: 好可怕，你觉得我是不是有点
说话人 2: 我有点在劫难逃的感觉
说话人 2: 我真的出去吹了，这个人生气生的更厉害
说话人 2: 你敢
说话人 3: 吗
说话人 2: 敢
说话人 2: 肯定敢，但是不愿意出去，你愿意吗
说话人 2: 那你都生气对我有什么好处嗯
说话人 2: 那你生气对
说话人 3: 我有什么好处
说话人 2: 你为什么会突然想到就是我想喝酸奶
说话人 2: 怎么一个心态
说话人 2: 我不是很就
说话人 3: 开心的心态
说话人 2: 难得知道我有一个不想吃的东西，那还有牛奶，我要吃，我只是吃容易拉肚子而已
说话人 2: 一样死啊
说话人 3: 你是在安慰我还是给自己享受
说话人 2: 这不冲突吧
说话人 3: 你给我生气你还要享受
说话人 2: 如果你享受的过程中可以让你不应该少生气，那不也很好
说话人 2: 或者说我为了让你少生气，然后同时还可以让你享受，不是很好，我不想笑
说话人 3: 这个眼睛要是大转累死了
说话人 3: 嗯哇
说话人 2: 他就觉得我好像不想理他一样
说话人 3: 太凶了有时候，然后眼睛里没有别人，我都是用最近的人
说话人 2: 有的时候是，要是
说话人 3: 我专门录了个长视频下来看看
说话人 2: 你在干啥，我又没让你有什么情绪，什么鬼
说话人 2: 我只是，不然就目中无人
说话人 2: 我又不是生你气，又不是怎么样
说话人 3: 谁敢让你生气了
说话人 2: 不是说不是，就是针对你有什么不满呀
说话人 3: 你对我有什么不满
说话人 3: 我表现得这么差
说话人 2: 对，嗯
说话人 2: 都没人找
说话人 3: 有人，只是没有我
说话人 2: 有什么
说话人 3: 因为你开会的人，你会主动打电话的人
说话人 2: 用手指是物件更多是，就是个，纯粹是个功能性
说话人 2: 嗯，你又不是
说话人 2: 聊一个
说话人 3: 对，知道，你给大哥一个
说话人 2: 谁知道你内心的，你有些口是心非
说话人 3: 对，嗯
说话人 2: 19.
说话人 3: 这是奖励，刘森分享奖励
说话人 3: 好好
说话人 3: 力度不够，怎么这么占便宜的啊
说话人 3: 这么占便宜，质量报告很好吗
说话人 3: 你这有点过分
说话人 2: 得寸进尺，我没有想好
说话人 2: 这个伟清坏
说话人 3: 嗯，这么你做的吗
说话人 3: 我不要，我不要
说话人 3: 得逞
说话人 3: 我不给你得逞
说话人 3: 等会还要喝一杯酸奶，我不行不行，我心里不平衡，要不让你得逞了
说话人 3: 不行，你想让我心里平衡一下
说话人 2: 我不拆你，反正看一下够
说话人 2: 怡璇在这边躺着，然后钰源蹦蹦跳跳看你们在那边
说话人 3: 那直接弄点水湿，直接加一点点水
说话人 2: 有水，可是没水
说话人 2: 怎么办
说话人 2: 这么多水
说话人 3: 不是这样的，你这样子，那样子拿纸，这是纸
说话人 2: 这是纸啊
说话人 2: 就有些人典型是宁可自己
说话人 1: 不爽也不让
说话人 2: 你爽
说话人 2: 好搞笑，咋还知道搞笑呢
说话人 2: 不是
说话人 3: 我的
说话人 3: 好了，你刚才说的那样
说话人 2: 什么叫我不是很喜欢跟别人说的
说话人 3: 我话讲一半，你自己悟去
说话人 1: 我不懂
说话人 2: 这不给你，他都有了
说话人 2: 你可以喝自来水
说话人 1: 别的也可以搞
说话人 3: 那自来水
说话人 4: 太生
说话人 3: 那个自来水太生
说话人 4: 了，而且那个杯子太小了，一口
说话人 2: 太生了
说话人 2: 是什么
说话人 3: 太像自来水
说话人 3: 不太像
说话人 1: 不就是自来水吗
说话人 3: 那为什么要分两个
说话人 2: 这两个不一样的自来，都是自来水，一个加了个filter，它本来就可以喝的，只不过另外额外加了个filter
说话人 1: 怎么听起来不像在夸我闻到了一股阴阳怪气的味道
说话人 1: 你最喜欢不是阴阳怪气
说话人 1: 那你吃没吃饱
说话人 1: 我不知道，撑好像是撑到的
说话人 3: 看到我
说话人 2: 不会拍他
说话人 3: 对，放离他远
说话人 1: OK，没问题
说话人 1: James.
说话人 5: Hey, how are you?
说话人 1: I'm good.
说话人 1: Sorry, but not confirming cuz I'm like usually pretty bad with us, but I do change my there.
说话人 1: So like I fully intended to show up.
说话人 1: I just, yeah, sorry about it.
说话人 1: And I'm gonna, no, it's.
说话人 5: Okay.
说话人 5: No.
说话人 1: Work.
说话人 1: Yeah, I'm gonna turn off my camera cuz I'm in a hotel.
说话人 1: The videos pre like the bandwidth is pretty bad.
说话人 1: So in case I share my screen, it's probably not going to be enough bandwidth for that.
说话人 5: Okay, not a problem.
说话人 1: So the reason I wanted to, you know, speak with you is that there's a couple of things that I think might be of interest.
说话人 1: E both from like a moment specific stance and also like from just like what can no code achieve in general.
说话人 1: I so, okay.
说话人 5: Sure.
说话人 1: Yeah, so couple things like one thing is obviously you probably already know we do have a agent like AI code palette for modifying the database.
说话人 1: I so I, it actually does a very job.
说话人 1: For example, in this case, I have an existing data base, but it on the style only had these fields.
说话人 1: So I was like, okay, I want now should have sample images.
说话人 1: That's why I said okay.
说话人 1: And then, okay, it create a new table, create a relation between the tables.
说话人 5: Okay.
说话人 1: And that's already there.
说话人 1: So, and also if you start with something that's completely new, for example, let's see if I just go like.
说话人 1: You know, collect some stuff, right?
说话人 1: And it should be completely new and we can create a database from scratch.
说话人 1: And it's really good quality.
说话人 1: Let me show you what I mean by really good quality.
说话人 1: So let's, okay, see if I want to create DB for and e commerce site with membership.
说话人 1: Okay, memberships are paid monthly and different tiers have, okay, different discounts, right?
说话人 1: And then let's see if we add like products should be able to be reviewed and favorited.
说话人 5: Okay.
说话人 1: Okay.
说话人 1: Something like that.
说话人 1: Okay.
说话人 1: So I, I'm just, I just thinking on the spot.
说话人 1: So I don't know what this is gonna.
说话人 5: Of course.
说话人 1: Yeah, so take a while.
说话人 1: Typically, the first try is gonna take around 30 seconds.
说话人 1: And then, okay.
说话人 5: Okay, yeah, okay.
说话人 5: That's for this thinking.
说话人 5: It's thinking.
说话人 1: Yeah, so let's wait for it.
说话人 1: And then it does a pretty good job with like all the relations.
说话人 1: Cuz that's what people usually get wrong, right?
说话人 1: They have a true this hard time getting like one to many, one to one, or even many to many relationships.
说话人 1: Like it's very difficult to pull a beginner.
说话人 5: Okay.
说话人 1: And on top of like constructing databases, given an existing database, it's able to also answer those questions and takes longer, a little bit longer than I expect.
说话人 1: Okay, so that's one thing.
说话人 1: So let's wait for, yeah, here we go.
说话人 1: So it's a pretty large.
说话人 5: Database, right?
说话人 5: Okay, that's exactly.
说话人 1: So got a database with account.
说话人 1: These are existing fields.
说话人 1: And you can see these are existing fields.
说话人 1: And it's then tied to subscriptions.
说话人 1: Cuz we said it's gonna have a subs description based membership, right?
说话人 1: It has reviews, it had favorites, and each product has name, description, price, stock image, reviews, and favorites.
说话人 1: These are relationships.
说话人 5: Sure.
说话人 1: And then it has membership here.
说话人 1: Each one has a price and a discount rate.
说话人 1: And it is, these subscriptions are tied to memberships.
说话人 1: And you got the subscription which is start, end date, current status, who descriptions for what tier it is, and the routine.
说话人 5: Okay.
说话人 1: Okay.
说话人 1: So that's what we're able to do.
说话人 1: And then if you confirm, it's just gonna do it right?
说话人 1: It's gonna, okay is it's gonna take probably another 30 seconds to do it.
说话人 1: Cuz we actually, you know, do these things with a function cost.
说话人 1: Okay, so that's one thing I wanna show you.
说话人 1: Second thing I wanna show you is this guy over here.
说话人 1: So I'm currently in the middle of trying to, you know, get.
说话人 1: AI to edit our front end.
说话人 1: Okay, so this is the, we haven't put it into the, the, the da, the actual product yet.
说话人 1: So this is in a POC phase.
说话人 5: Okay.
说话人 1: So this is a prompt I wrote that basically tell AI what moment is.
说话人 1: And then all I said is just said build result detail page content only, right?
说话人 1: That's the okay.
说话人 1: Basically the user would enter this.
说话人 1: So that is okay, going to be piped in.
说话人 1: Everything else is static.
说话人 1: So it's automatic generated.
说话人 1: It's supposed to be automatic generate.
说话人 1: Obviously, now it's all by hand.
说话人 1: So product description, this actually, okay, so this is now done. And you can, before we go to the.
说话人 1: Project that was for this is now done.
说话人 1: You get account which has us.
说话人 1: I don't, that's my description, right?
说话人 1: Sure.
说话人 1: And you got these tiers and then accounts have their reviews.
说话人 1: And the review is about a product and you have favorites is also on a particular product.
说话人 1: And that's okay, like the database.
说话人 1: Okay, so let's go to the project, which this thing is for things in image repro.
说话人 5: Okay.
说话人 1: And initially this doesn't exist.
说话人 1: So I don't actually have this, okay, when I started using this, right, so it's, this is supposed to be empty.
说话人 1: And then we only have two pages home and history. So it'll okay, home and history, right.
说话人 1: The other one was instructed following AI's instructions.
说话人 1: And the current selected component is, I was just, I think I was just in something like this.
说话人 1: I was selecting this so that this is scenario, the user had something selected and it prompts the AI to do something.
说话人 1: Okay, the thing that user selected might be of interest, some might not, we don't know.
说话人 1: So that is the case.
说话人 1: And these are the available UI components.
说话人 1: That's essentially a text translation of these things.
说话人 5: Okay, okay, I get it.
说话人 5: Then.
说话人 1: Yeah, so then I kind of explain like how we identify settings inside the editor.
说话人 1: So with this schema path concept, we're able to locate every single setting in the system, right?
说话人 1: So that's right.
说话人 1: And then I gave it a bunch of tools, which is in this guy over here.
说话人 1: So I give it a bunch of tools.
说话人 1: I give it like us, you know, things like list, table name, show table structure, list relation, their database stuff, right?
说话人 1: And then you gotta show component detail, ad components, ad data source, ad remote data source.
说话人 1: And you know, this goes on.
说话人 1: So things you can do, it's about like 17 of them, I think this is, yeah, there's 17 of them.
说话人 5: So.
说话人 1: That goes into here.
说话人 1: So that's when I clicked start.
说话人 1: So the first thing the AI did was it wanted to list table name.
说话人 1: So I just paste in the result of all the tables.
说话人 1: So that is actually the result is within this. I'm gonna just close all that.
说话人 1: Close all.
说话人 1: Okay.
说话人 1: It's actually list tables.
说话人 1: So this is this right?
说话人 1: Oh, that that's a wrong file.
说话人 1: Sorry.
说话人 1: It should be in here.
说话人 1: I was just Po playing around with a lot of them.
说话人 1: So it's.
说话人 5: Sure.
说话人 1: List.
说话人 1: So tables, list table names.
说话人 1: This is table.
说话人 5: Names.
说话人 5: Yep.
说话人 1: Yep, yep.
说话人 1: Okay.
说话人 1: And that should correspond to exactly to this.
说话人 1: We didn't have purchase order or sample image.
说话人 1: Those were things I added later.
说话人 1: Okay, so then it says, I wanna see the re, the structure of the table result.
说话人 1: Cuz I, the in the prompt, I said I wanna a result detail page, right?
说话人 1: So it looked at the structural result and then I gave it the structure of result.
说话人 1: So that is the I result table.
说话人 1: So it has an ID, has created ad, has owner account ID, style name and image.
说话人 5: Right?
说话人 1: And then it says, I also wanna know the table of a style.
说话人 1: So I pasted that one in style just has a name prompt.
说话人 1: And that's basically it.
说话人 1: Okay.
说话人 5: And then.
说话人 1: It says ad component.
说话人 1: I wanna add a web page called Result Detail.
说话人 1: So I add it and I give it the eh response saying that now it's added, now it has an ID because the IDS are automatic generated and then it says ad page parameter.
说话人 1: So that actually goes into here and it added a page parameter here.
说话人 1: So added the ID that's following am instruction.
说话人 1: So this one does an ID on the component, the.
说话人 1: Page basically.
说话人 1: So added it, gave it the response, and then it now says, I wanna add remote data source.
说话人 1: So that is when I added the remote data source here.
说话人 1: That's a process.
说话人 1: And then it says a wonder name called result data table name is resolve data limit 1 and empty filter.
说话人 1: And then on the page, so that exactly what it is.
说话人 1: So the curator criteria here is empty, but it has all the correct setting.
说话人 1: And then it then ask for list available configurations on the filter of the result data, right?
说话人 1: Okay, so in this case, I gave it lists configurations of somewhere available configurations filter.
说话人 1: Yes, so this is what I gave it.
说话人 1: So basically I said all the filters start off always ends, and then you can either add a boolean expression or remove a boolean expression or invert it.
说话人 1: So turning the end into a knot or you can change the end to an or.
说话人 1: So really it corresponds to, you know, basically this.
说话人 1: So you can either change it to or make it not or add a condition, right?
说话人 1: So that's.
说话人 5: It's essentially it's generating all of this that the person can do via the UI, right?
说话人 1: Right.
说话人 1: But essentially what the goal is, we're not going to let the person do this because all these functions, function call will be performed by moment.
说话人 5: Okay, okay, okay, I get it.
说话人 5: Okay.
说话人 1: Yeah, also, so in the end, this thing like keeps going and in the end, it actually com produced an entire page.
说话人 1: So it got this generation details.
说话人 1: This image is coming from the result data.
说话人 1: And then this right style name is coming from RES result data as well.
说话人 1: So it AI is okay to be able to do all that automatically.
说话人 1: Okay, hopefully within the first quarter.
说话人 5: So just to confirm, right, because the last video I did, we talked about the back end, right?
说话人 5: We didn't talk about the UI piece.
说话人 5: But now you're also covering the front end piece as well with the, yeah, getting the UI more involved, right?
说话人 5: That's the idea.
说话人 1: Yes.
说话人 1: Yeah, that's the idea.
说话人 1: And then I think, well, it's not gonna be, obviously, it's not gonna be out when your videos are publish.
说话人 1: I'm just letting you know this is.
说话人 5: Sure.
说话人 1: What's the role that might be.
说话人 1: And then it's also.
说话人 5: You know, this is good.
说话人 5: This is good stuff.
说话人 1: And the other thing, I'm not sure if you're aware, but we now can generate images, right?
说话人 1: So for example, in this case.
说话人 5: No, I wasn't.
说话人 5: I don't know that.
说话人 5: Okay.
说话人 1: So this particular thing, we're gonna just try it out, right?
说话人 1: So let's see this free gen.
说话人 1: Let's do the project.
说话人 1: First project would go to undefine.
说话人 1: Cuz I deleted this thing.
说话人 1: So I'm gonna delete that and then add a new thing.
说话人 1: So we're going to navigate to result detail.
说话人 1: So that's the one that AI just created.
说话人 1: Well, not exactly AI, but like the I created with AI's instruction, right?
说话人 1: I was.
说话人 5: Right.
说话人 1: Pretending I'm just like a no brainer, right? So that's exactly.
说话人 1: Hum, yeah, so I'm going to upload image of myself.
说话人 5: Sure.
说话人 1: And then here, this is coming from a database is a list of styles.
说话人 1: Okay, and I'm gonna select porcelain and Kinski.
说话人 1: So that's like a way of repairing porcelain in Japan.
说话人 1: So I'm gonna select that and then I'm gonna click on Progen.
说话人 1: This is actually going to ask me to buy credits, I think, but I will change my credit.
说话人 1: Yeah, no credit.
说话人 1: So I'm actually gonna give myself a credit.
说话人 1: So this is actually has payment tag tied into it.
说话人 1: But since we're, which I'm 0,1, so that's 01, I am going to make this just give like 34.
说话人 1: Sounds good enough.
说话人 1: Okay.
说话人 5: Sure.
说话人 1: So we do project.
说话人 1: Whoops, no credit.
说话人 1: That's because I have to refresh cuz that doesn't carry over.
说话人 1: So to refresh.
说话人 1: Okay, good.
说话人 1: Okay, so now it says 34 and right, this says as for 34, so we should be able to generate this thing with, okay, it takes, you know, it's we're connected to Nano Banana Pro. So this thing takes like.
说话人 5: Okay, so.
说话人 1: Seconds.
说话人 1: I think, okay, 15 seconds.
说话人 1: Yeah, I didn't, yeah, yeah, I didn't take do anything with the UI interaction.
说话人 1: So it's through.
说话人 1: It just nothing happens for 15 seconds and it goes the new page.
说话人 5: That's.
说话人 1: Okay.
说话人 1: Wait for it.
说话人 1: And this thing is actually this pro gen.
说话人 1: And then you should be able to see one that's in progress.
说话人 1: So we're generating it.
说话人 1: So.
说话人 5: This image pieces is live already.
说话人 1: Yeah, it's been live for a while.
说话人 1: The we can also do a bunch of other crazy stuff in AI.
说话人 1: So function calling is supported, which and works pretty well.
说话人 1: And another thing, so it's now gone to this new page.
说话人 1: And that's me, right, with the porcelain.
说话人 1: Yeah, so that's that.
说话人 1: Okay.
说话人 1: So this is image generation.
说话人 1: And we also now support PDF analysis.
说话人 1: So if you do a PDF from some sorts, just a file like that, okay, what's in the PDF?
说话人 1: You can now upload.
说话人 1: Let me just find some PDF somewhere.
说话人 5: So it doesn't analysis.
说话人 1: It.
说话人 1: It will, yeah, it will analyze the PDF.
说话人 1: So if you just do that, this will then give you the content.
说话人 1: Of the.
说话人 1: Okay.
说话人 5: Okay, okay.
说话人 1: Right.
说话人 1: So if you.
说话人 5: Can chat, chat, yeah, chat about it.
说话人 1: You can chat to the PDF.
说话人 1: And then you can also do video analysis.
说话人 1: So, okay, you could say like who spoke in the video, right?
说话人 1: So in that case, we gonna upload a, what do I have as an image?
说话人 1: What is in here?
说话人 1: Oh, that's not, that's not, it's not useful.
说话人 1: I can't find any video that's useful.
说话人 1: Okay.
说话人 1: So what is this?
说话人 1: That's also not useful.
说话人 5: Maybe.
说话人 1: Yeah, but you get the idea.
说话人 1: So videos.
说话人 1: Yeah, I.
说话人 5: Get.
说话人 5: I, I get, I get it.
说话人 5: Yeah, I get it.
说话人 1: Okay.
说话人 1: So last thing I wanna show you is agentic workflows.
说话人 5: Okay, I'm.
说话人 1: Not sure if I've shown you this particular use case, but I think we're the only no code full stack, no code application development platform that supports building agents within the system.
说话人 1: So if I'm okay, I don't know that.
说话人 1: I think we know.
说话人 1: Yeah, could be.
说话人 1: So in this case, we have imported two APIs, right?
说话人 1: So Google Maps API and for a Geo location and a Geo coding.
说话人 1: And then the other one is Google Maps API for p nearby search to search for places. So we created this trip planner.
说话人 1: With these inputs.
说话人 1: And then also it's able to look up things on Google.
说话人 5: Okay.
说话人 1: Using the API.
说话人 1: And then it will eventually look, you know, do something.
说话人 1: So for example, if I wanna go to say, San Francisco, okay, right?
说话人 1: And I want it to be a two days and then I wanna be there on the 23rd and I'm spending like $300.
说话人 1: That's probably not enough.
说话人 1: 500 dollar maybe, right?
说话人 1: Sure.
说话人 1: Click start.
说话人 1: This will start calling these tools.
说话人 1: You can see it now looks for West San Francisco is it has failed because it forgot to pass in the key.
说话人 1: But then the second time around, it passing the key, you got the location of San Francisco and then it looked for hotels in San Francisco and they got a bunch of result from Google nearby search.
说话人 1: And then it does a nearby search again on tour center.
说话人 1: And then it has like opening hours and all this stuff, right?
说话人 1: Because in here it says it's gonna ask for regular opening hours.
说话人 1: So he keeps doing that until it's reasonably sure that it has all the information needed.
说话人 1: And then it generates the result.
说话人 5: Okay, nice, nice.
说话人 5: Okay.
说话人 1: Are they Jason?
说话人 1: So the Jason is also going to be shown in something like this.
说话人 1: So the JSON will actually get stored in the database and it shows up like that.
说话人 1: So, okay.
说话人 5: So it renders it on this page.
说话人 5: Okay.
说话人 1: So we, the page actually renders that Jason, but the Jason is actually stored in the database. We.
说话人 1: We break it down and starting a DB.
说话人 1: So that goes into here's we got a action flow that generates the trip using the same AI that we just did, passing the same parameter.
说话人 1: And then base on the output is gonna create a trip and loop over the days, create the day, okay, and loop over the activities for the day and create the activities.
说话人 1: Chan, insert the lunch and the dinner during for that particular day and reduce credit for the user, right?
说话人 1: And eventually output the trip ID.
说话人 1: So that's why it comes up like this, right?
说话人 1: And then for these images, these are actually generated by AI as well.
说话人 1: So that goes in here.
说话人 1: So we have a generate image for checking.
说话人 1: Yeah, and then this guy is triggered whenever a trip is inserted into the database.
说话人 5: Right?
说话人 1: And then passing the inserted data's ID, so the trips ID into the parameter trip ID.
说话人 1: So that goes into here, the trip ID, and we get the trip and then we use the trip summary to generate the image and then we update the trip using the result.
说话人 1: So that therefore.
说话人 5: Right, yeah, all of this was generated by automatically, right?
说话人 5: From what I understand.
说话人 1: Yes.
说话人 1: So this is now by the end, like every time you have a new trip, that's gonna automatically generate a cover image for it.
说话人 5: Yeah, I don't think any other no code builders do that.
说话人 1: From, right?
说话人 1: So yeah, that's what I know of as well.
说话人 1: But I'm not sure cuz I haven't checked all of them.
说话人 5: Right?
说话人 5: But.
说话人 1: Sure.
说话人 1: So you got these days and then you got these activities. You can click on the map.
说话人 1: Go to the, you know, go to the actual place, ensure.
说话人 5: Things.
说话人 1: Go.
说话人 1: Yeah, this is in Singapore, right?
说话人 1: Yeah, this is actually in, yeah, this is in Singapore.
说话人 1: Yeah, yeah, that's where.
说话人 1: Okay, I'm currently.
说话人 1: So yeah, yeah.
说话人 1: So that's the stuff I wanna share.
说话人 5: Okay, okay, excellent.
说话人 5: So that's that's some that's really good features, really nice interest.
说话人 5: Yes.
说话人 5: So it's like, it seems to me like when you showed me that first one with the back end, that was really good.
说话人 5: Like, you know, back end as a service.
说话人 5: Cuz I don't know like any tools that do that.
说话人 5: So I found that very, really nice kind of angle, right?
说话人 5: So, and now you're, you're going to, so now you have an AI agent here that you showed me, have image generation.
说话人 5: And then now, right, and you're also working on the UI piece as well, where, you know, user, you know, says something like, create me another page, create me this page, that page.
说话人 5: Exactly does all of them automatically.
说话人 5: Okay.
说话人 1: Right.
说话人 1: But that one is a feature that's being built right now.
说话人 1: So that doesn't exist.
说话人 1: It's just a sure.
说话人 1: I, it's something that we're working on.
说话人 1: Yeah, but the AI agent thing is already working.
说话人 1: And then we.
说话人 5: Okay, okay.
说话人 5: Yeah, the agent is still very innovative because, you know, flat aflow doesn't do it.
说话人 5: I don't know, like some of these other tools don't do it.
说话人 5: So that's a cool feature all in itself, you know?
说话人 5: So yeah, that sounds great.
说话人 5: Okay.
说话人 5: Yeah, I mean, definitely.
说话人 5: And this.
说话人 1: Works together with the vibe coding, you know, back end the service as well, right? Cuz this, yeah, yeah, it's going to be exposed.
说话人 1: Via the MCP server that we use for the vibe coding.
说话人 5: Right?
说话人 5: Right.
说话人 5: So not only the back end, but also this piece as well.
说话人 1: Okay.
说话人 1: Yeah, this piece as well.
说话人 5: Yes.
说话人 5: Okay.
说话人 5: I understand.
说话人 5: I get it.
说话人 5: Yeah, this is really cool.
说话人 5: This is what a lot of people want, right?
说话人 5: Because you know, people that use flatter flow just kind of stop developing.
说话人 5: And so, yeah.
说话人 1: What about the floor flow?
说话人 1: If you know, like it?
说话人 1: I'm very curious cuz they seems to be, they think to be.
说话人 5: They're moving towards the dream flow.
说话人 5: I think that's their main focus right now.
说话人 1: The, yeah, they seem to be competing against like lovable and stuff.
说话人 5: I haven't tried stream flow honestly, but I assume it's just like lovable, right?
说话人 5: So it's just a wrap around top of on top of, you know, these models, essentially, you know, some of GPT five or whatever, or, you know, cloth code or C all plus 4.5.
说话人 1: Yeah, one of those models.
说话人 1: And then you just ask the right flow are.
说话人 5: Basically exactly just they have a system prompt and that's it.
说话人 5: They just created.
说话人 5: Yeah, so a lot of people are obviously are a little confused because of, you know, Florida fo is not giving them the features they want.
说话人 5: But this tool is giving exactly the features that, you know, people are expecting from slaughter flows.
说话人 5: So makes it interesting.
说话人 1: Yeah, so that I think that's all.
说话人 1: If any questions, let me know.
说话人 1: And no.
说话人 5: No.
说话人 5: Yeah, I mean, no, these are great features.
说话人 5: I mean, I definitely would love to kind of incorporate it into a kind of a topic and angle, some kind of a new angle, kind of like, you know, this is, you know, like the next level of UI death tools, right?
说话人 5: Kind of what flat flow is missing, essentially, that kind of thing.
说话人 5: But these are really cool features.
说话人 5: What you think of the previous video, did you, what do you find?
说话人 5: Did you find that angle, you know, useful?
说话人 1: You know?
说话人 1: Yeah, I find it fine.
说话人 1: I mean, like, I've no.
说话人 5: Okay, I've no.
说话人 1: Further comments.
说话人 1: I mean, yeah, I'm sure.
说话人 1: And I also really liked your way of doing these videos, cuz like you show the those steps going through these things.
说话人 1: Sure.
说话人 1: And yeah, so those are pretty cool.
说话人 1: And then, you know, and also if you wanna try out those things yourself, I mean, you feel you welcome to.
说话人 1: And also we currently are running a promotion, even though it's not obvious.
说话人 1: Okay, Gemini, to me, flash at the moment is almost as if it's free.
说话人 1: Be on our thing because Google just gave me like, if you look at Gemini ro, it's each token is like 0.01 points and a point is for 35.
说话人 1: Sorry, where are we?
说话人 1: For $10, you get like six million points.
说话人 1: So for $10, you're getting something like 60 million Gemini ro tokens.
说话人 1: Yeah, I know.
说话人 1: And if you're looking at, you know, the Nano banana, which is really Gemini ro image, it's also really cheap.
说话人 1: And if you look at GMV Reflash, it's like even more ridiculously cheap.
说话人 5: So is that, is that part of your plan right now?
说话人 5: Public facing.
说话人 5: So that is.
说话人 1: The plan until the summer.
说话人 1: Cuz Google just gave me $250,000 in.
说话人 5: Credits.
说话人 5: Oh, okay.
说话人 5: So this is a big angle.
说话人 5: That's a big benefit.
说话人 5: Yeah, yeah, that's a huge benefit.
说话人 5: Because Nana Banana Pro, from what I understand is it's not that cheap.
说话人 1: It's very expensive.
说话人 1: Yeah, it's.
说话人 5: Fairly expensive compared to the other.
说话人 1: Models.
说话人 1: Yeah, and then this is what we're running right now.
说话人 1: We do 10K a month for just the the Pro, the the the pro, the things.
说话人 1: And then for Nano Banana Pro, you can see that's the Gemini ro image.
说话人 1: Every day there are 5,000 images generated on moment.
说话人 5: Okay, okay, okay. Yeah, that's great, man. So.
说话人 5: Yeah, it's interesting with the whole vibe coding thing, a lot of tools are trying to kind of adapt, right?
说话人 5: It's like, it's been, yeah, it's a huge thing and a lot of flows, you know, it's.
说话人 1: Jumping on the bandwagon.
说话人 5: Yeah, exactly.
说话人 5: It's a, yeah, but I, I not I like your approach with bass.
说话人 5: I found that very interesting cuz I haven't seen other people I don't know why flat flow doesn't do that.
说话人 5: Honestly.
说话人 5: That's a good.
说话人 1: Floor doesn't really have a backend.
说话人 1: So it's different.
说话人 5: Yeah, that's actually that's true.
说话人 5: What I'm as well.
说话人 5: Yeah, yeah, that's one thing.
说话人 5: But yeah, but they're not even trying, right, from any perspective, right?
说话人 5: For even bass or.
说话人 5: Well, I'm not, you know, UI is nothing on the UI side, but even the back end side.
说话人 5: But yeah, they don't have on the back end, but the point is they're not even innovating at all while you guys are innovating. So.
说话人 5: Sounds good, man.
说话人 5: Sounds good.
说话人 5: So, yeah, let me, I mean, I.
说话人 1: Yeah, that's all the information I wanna share.
说话人 1: And you can do it, do with them, whatever you wanna do them is like use as you see fit.
说话人 1: I'm only here to just.
说话人 5: Sure.
说话人 5: Yeah, no, this is great.
说话人 5: So I'm gonna try to tie it up into a concept for the next video.
说话人 5: And I'll see, maybe I'll have something out like maybe in a week or something like that, you know, week, 10 days, something like that.
说话人 5: And yeah, and we'll go from there, right?
说话人 1: Cool.
说话人 1: Well, thank you.
说话人 1: Thanks for taking.
说话人 1: Alright.
说话人 5: Thanks a lot.
说话人 5: Yeah, great to finally, yeah, talking person.
说话人 1: Catch up.
说话人 1: We finally, we're able to catch us.
说话人 5: Eh.
说话人 5: Alright, have fun in Singapore. Yeah, thank you. Alright, take care. Bye.