EP30｜Move your entire body, use AI’s entire body, move 5 times, move your body to the right place!

Now, I am DaeDae, a cat who helps you chase AI hot searches. The AI hot search report helps you identify the key points. What is the best thing to do on Sunday? In addition to catching up on sleep, of course, let DaeDae help you stock up on next week's AI information in advance. Today, I have selected the 5 most popular AI tool information, and get it first before going to work on Monday, so that you can be one step ahead of others at the beginning of the week. By the way, before getting into the topic, I want to talk to you about my recent mood. When I was sorting out this AI information these days, I found that the current technology is so fast that people feel anxious about not being able to catch up. But actually, when I think about it, isn’t the emergence of AI just to give us more time to enjoy life? Because I am busy helping you draw key points now, but when the recording is finished, I have already planned to grab a few beancat sticks and find a sunny window sill to stretch out. While everyone is pursuing productivity, don’t forget to leave yourself some space to breathe. After all, the souls of us humans and cats are the meaning of the existence of these tools. Instead of showing off the skills today, let’s directly look at 5 sets of AI processes that are more likely to exhaust work and life. The focus is the same: to help you get less stuck, work less, and waste less energy. Okay, let’s start directly. Let’s look at the first one, permissagen.claw code. This set is like raising a group of assistants who can relay for yourself. If you often come up with ideas outside, you can send them on your mobile phone first. When you come back to the computer, you will have to talk about it again. You should be very interested in this set. Many people now have an AI on their mobile phones. There is an AI Claw code in the desktop. It is suitable for viewing projects on the computer. Shubuck handles files. Hermesagen is more like an assistant you take with you. Lives in Telegram You can easily throw away ideas and remind you of the inverse ratio. The problem is that these two sides are often like two isolated islands. What your mother Zhou told Hermes. At night, Claw code has no idea. The rhythm is just like you just bit off the minced meat. Then someone took it away, smoked and smashed it. The key point of this process is to connect the two sides. To put it bluntly, what you explained on the phone in the morning. When you go back to the computer in the evening, you don’t have to talk about it all over again. Hermes knows what Claw code has done before. Claw code can also eat it. The accumulated notes and conversations are more like the same group of assistants working in shifts. He will also organize the entire system into a comprehensible picture. You can directly see how much the model has been used, whether the memory is connected, whether the chat record is there, what tools are connected, and where the synchronization is successful. The point is not that the picture is beautiful, but that you don’t have to look around. There is also a design called Pantheon. You can think of it as a stack of role cards. Some people are dedicated to looking up information, some are good at in-depth thinking, and some are responsible for background tasks, such as sorting out key points in the morning and making regular summaries. You don't have to rebuild the settings every time. Just check the characters and he will help you divide the work. He can also connect to Obsidian so that Hermes can not only read the sentence in front of you, but also the notes and information you have accumulated in the past. Then synchronize the mobile and desktop with each other through Claw code S-bridge. You can continue to work on the ideas you jot down outside when you return to the computer. What is more practical is that he not only chats, but can actually do it. In the demonstration, Hermes is connected to Telegram, GitHub, Apollo, and Gmail, and can also serialize sample tools. You can also receive other services through NCP. He will not only reply to you, but also help you build a repo, that is, create a code warehouse synchronization role. First, he will help you write a draft, read the itinerary, and even compile a list of potential customers. The Apollo section is very visual. Suppose you are a consultant or agency owner. On the road, you suddenly think of a specific market, such as roofing engineering companies such as Texas Hall. In the past, you may have to go back to the computer and slowly check the list. Now you can directly send a message to Hermes on Telegram and ask him to sort out the common pain points of this market. Then use Apollo to grab a batch of business lists. By the time you sit down at the desk, it’s not that I have an idea, but that I have a list of people I can start contacting. But with a tool like Gmail, the most suitable way is not to send it automatically, but to write a draft for you first. It’s faster, and in the end it’s up to you to confirm. Even cats know this if you’re lazy and can’t click randomly to send. If you switch between mobile phone and computer meetings all day long, this set is worth watching. The protagonist of one or two switches to 3D is Pixel 3D. If you have ever tried 3D game prototype concept design, you should know a pain point. Many tools that convert pictures into 3D may not look like it, but they are just like a circular diagram. The outline disappears and the details become blurry. If you just want to stand things up first, Pixel 3D is very suitable. That is to say, it is more suitable as a starting point for drafts, but not suitable for direct use as a final product. It is an open full-axis model launched by Tencent TRC Research Lab. The layer is useful for Trailus 2 and Directs 3D and can be run locally. However, it requires about 24GB of RAM for hardware. Most laptops cannot support it, so many people will still switch to cloud GPU services such as Rumpad. Even so, it is still very attractive. Compared with some old methods, Pixel 3D can better preserve the original visual sense in many cases, especially stylized objects and creative props. Some results are even close to powerful commercial tools like Triple. However, it is not without its shortcomings because it tries too hard to be true to the picture, so sometimes it is not good at thinking clearly about the entire three-dimensional shape. The angle you turn may have strange things appearing on the back. Many hard-edged objects with clear structures, such as weapons or mechanical equipment, may not be stable. So if you are a person who is doing concept ideas, levels, drafts, background props, and stylized environments, this tool will be very trouble-free. But if you want to use it directly to make ultra-fine finished products, you usually still have to organize and modify the mold later. In addition, it is more open for research purposes. Whether it can be commercialized, the scope is not yet clear. The person who takes the case or the new team should pay special attention to it. In the actual process, many people will first open the environment in Rumpod and connect it with SH, and then use a programming assistant such as Coco to help you handle it. In the past, just installing it could put people to sleep. Now there is an AI assistant to help you handle it. The threshold is much lower. You can send Pixel for tools. 3D, Trailiser Direct 3D, and RunPod can be checked and the results can be entered into Blender. The third one I feel is super cool. Someone directly asked Coco to try five side businesses to see if he can really make money. This section is very interesting because it is not bragging about AI that can do everything, but a very honest test. Which things Coco can really help? Which places still rely on people? Which projects are probably only hit the wall now. These five side businesses are Amazon KDP Airbooks Community Teracell That is, slideable card design. Coco.Hicks View is used to make pitch deck proposal briefings. Coco.Hicks View is used to make AIUGC Ads, which are AI-generated ads to be supported. Coco is also used to automatically support popular Instagram content. Let’s talk about Amazon KDP Airbooks first. Many people think that the most difficult part of publishing an e-book is writing. In fact, the most difficult thing is to find the topic. Cole here first helps to find the topic, check the data and organize the structure. Later, after narrowing the topic to a more specific direction, the content quality is actually good, but the reality is very straightforward. After being put on the shelves, the sales volume is zero, which reminds us that AI can help you create the content, but it does not mean that market demand will emerge on its own. The second one is Caresol card design. Cloud is very suitable for getting into the BRAND background, needs and content structure. First, spit out a decent draft, but it is not ready to be handed over directly to the customer. Someone still needs to revise it. The third one is the proposal briefing. The achievements, customers, services, positioning, and brand color of the big company are thrown to Cloud Design. It will help you organize the structure and write the copy first, and then make a very decent visual draft. Photos, logos, and layouts still need finishing touches, but the first version is already very useful. The fourth one is Claude teamed up with Hicksfield to make AIUGC Ads. It is very attractive on the face of it, because e-commerce brands need advertising materials, but when it comes to doing it, problems arise. The picture is too fake, the movements are unnatural, and the sexiness is not enough. You don’t dare to give this kind of thing to customers. The fifth one is the most successful. I use Claude to do Instagram content research and script ideas, and I also look for recent health research. I picked out topics such as sleep, walking, sugar, and weight, and then organized them into content directions that had a chance to hit. Finally, I wrote a script. One of the pieces of content performed well. Later, I actually talked about monthly consultant cooperation. The most memorable criterion of this whole set of tests is very simple. The most profitable ones are often AI doing research first, sorting out the first version, and then finishing it with real people. The easiest thing to overturn is the final product. It should be very like a real person and have a sense of trust. But now AI can't wear the dark form, so Claude will not automatically print money for you. But he is very suitable to help you lay the road ahead for the case-taking process and content work. The tools can remember Claude, Claude Design, Hitsfield, Amazon KDP and Claude Stop App, and match the same AI computer operation process. The fourth one continues to talk about Claude, but the direction is changed to personal work efficiency. You just make it your own personal system. Many people have this question. When you are walking, commuting, or just after a meeting, you clearly have something in your mind, but it is troublesome to just record the process. I am too lazy to study. As a result, the tasks were not recorded well, the reminders were scattered all over the place, the diary was half-written, and the itinerary was not integrated. The solution to this approach is to make writing it down super easy first, and then let AI help you sort out the big mess at the end. The process is actually very straightforward. If someone thinks of something outside, first use Telegram to send a voice message and Whisper will help you convert the text. AI will help you determine whether it is a task, a diary, a reminder, or a habit record. Then enter Superbase and wait for you to return to the computer and open the console. You can directly see what you should do today. The entire set of tools includes Cold Code Chat. GPT Superbase Versel Telegram Buffader Whisper Google Calendar plus a web console of its own. The biggest difference from a general to-do list is that it is not just the screen, but the underlying memory is your own. The data is stored in a database that you can control like Superbase. It is not stored in the black core memory of a chat robot. To put it bluntly, your life data is still in your hands. In this case, the homepage will put important tasks together to form habits and financial status. You can think of it as your own life console. It's like information that was originally scattered in various places has been pulled into the same place. The most important things today emerge directly. I think the smartest thing is that the diary has the fastest memory. Many people leave the diary after writing it. But if these contents are also entered into the memory system, after a long time, AI can help you see some patterns that you may not usually notice. For example, if you look back in a week, it may remind you which kind of meeting is the best. Or if you don't sleep enough, your work efficiency and exercise completion rate will drop together. At this time, the diary is not just for expression, but can really help you adjust your life when you look back. Of course, it is not a complete dream tool. You need to think about the interface clearly in Codecide first, and then throw it to Codecode for implementation. Then set up Superbase, connect Telegram, string Bowfather and use Whisper to do the routing. In the middle, you have to debug all the time, so it is very valuable, but the construction cost is really not low. If you always feel that ready-made tools are stuck no matter how you use them, this path will be worth a reference. What is really valuable is not just a beautiful interface. In principle, you can use your own memory system to store the memory. Finally, the fifth one, creators will love it. It is to use AID costs to make 3D cartoon animations. Even the dialogue and lip-syncing are handled together. This problem is very common. Many people want to make animated short films, but when they think about modeling, storyboarding, characters, dubbing, and editing, they are half exhausted. On the contrary, the process is expensive and time-consuming for novices. Or the small team is really tough. The core tools of this process are not complicated. RGBT is responsible for story thinking and storyboard writing prompts. Google Flow AI is responsible for deep images and deep videos. Finally, it is thrown into editing tools such as Tapcut, Filmore or Insert to connect the clips. The first step is to break down the vague ideas into workable scenes. For example, you only know that you want to make a cute coffee date animation, but there is no idea what is going to happen in each scene. At this time, ChatGPT can help you sort out the story, pictures, actions, and dialogue. The second step is to prevent the characters from changing in every scene. This is actually where many AI animations are most likely to overturn. The trick is that when Flow AI makes the next scene, it will try to use the pictures of the previous scene as a reference. Once the appearance of the character is stable, your work will not be like a bunch of random pictures forced together, but will start to look a bit like a real animation sequence. The third step is to turn the pictures into short films with dialogue, movement, and dialogue. Here ChatGPT will help you organize your requirements into clearer prompts, including what the character should say, how to take the camera, and what actions the scene should have, and then hand it over to Google Flow AI to convert it into video clips. The most attractive thing about this whole set is that the cost is much lower. For those who are just starting out, you don’t have to spend a lot of money at the beginning, nor do you need to learn a whole set of professional animation software. However, it is more suitable for making short films, series content, or making a prototype that can be released first. Rather than directly making a professional feature film, final editing is still very important. You still have to look at whether the clips go smoothly, whether the connections are weird, and whether the pace is delayed. But compared to before, you can really turn a small story in your head into a visible work much faster. The business direction is also very clear. The first is to make a series of stories with fixed characters and slowly grow your own YouTube channel. The second is to take on projects for educational, social or entertainment short films. The third is more interesting to make a virtual character account that can be operated for a long time, because after the character is remembered, it is not just a video, but a character asset that can be reused all the time. If you are a source creator, a small team, or someone who makes educational content, this path will make you more daring to start experimenting. Tools include ChatGPT, Google Flow AI, and finally connect to CapCut, Phil Moray, or InShot. Today, these five sets of processes have very different directions, but they have something in common. The AI that is easy to remember and easy to use is not only responsible for you to dig, but can really take away those troublesome repetitions, stucks, and cutting back and forth. Take the ClarCode relay assistant from Hermesagen. From Pixel 3D to help you turn 2D images into 3D, from Clar to help you verify where you can earn money from secondary inspection, and where there will be overturns, to build a personal system to capture the data, and then use ChatGPT and Google Flow AI to make animations at low cost. The focus is the same. The most valuable thing about AI is to help you waste less effort in real use situations. Keep up with AI in Zhangmoyu. Remember to subscribe and AI hot search report. If today's content has gained you something, then help me to Apple Podcast. Please leave a five-star review on FB, IG, Threads, so you can find me in AI hot search reports. Today’s AI hot search reports are here. I’m going to take a nap. Let’s see you tomorrow. Goodbye. Let’s chat. Mia Mia Mia Mia

Now,我是 DaeDae,一隻幫你追 AI熱搜的貓, AI熱搜報幫你劃重點 星期天最適合做什麼?除了補眠,當然是讓 DaeDae幫你提前囤好下週的AI情報 今天精選了5個最熱門的AI工具情報,週一上班前搶先掌握 讓你一開週就比別人多一步 對了,在進入正題之前想先跟大家聊聊最近的心情 這幾天我在整理這些AI資訊時,發現現在的技術真的快到讓人有種追不上的焦慮 但其實轉念一想,AI的出現不就是為了讓我們有更多時間去享受生活嗎? 因為像我現在雖然忙著幫大家畫重點,但等錄音完 我已經規劃好,要去抓幾隻豆貓棒找個陽光充足的窗台好好伸得懶腰了 大家在追求生產力的同時,也別忘了給自己留一點放空呼吸的空間 畢竟我們人類和貓類的靈魂才是這些工具存在的意義啊 今天不看炫技,我們直接看5套真的比較可能用盡工作跟生活的AI流程 重點都一樣就是幫你少卡關,少重工,少浪費力氣 好,直接開始 先看第一個,permissagen.claw code 這套很像幫自己養一組會接力的助理 如果你常常在外面想到點子,先用手機寄一下 結果回到電腦前,還要再講一次 那這套你應該會很有感 很多人現在就是手機上一個AI 桌機裡有一個AI Claw code 適合在電腦裡看專案 Shubuck 處理檔案 Hermesagen,比較像你帶著走的助理 住在Telegram裡 隨手就能丟想法,提醒 反比計,問題是 這兩邊常常像兩座孤島 你周母跟Hermes講過的事 晚上Claw code 根本不知道 節奏一段,就很像你剛把肉泥咬開 結果有人端走,抽啊砸 這套流程的重點就是把兩邊接起來 白話一點,你早上在手機交代的事 晚上回到電腦前,不用再從頭講一次 Hermes知道 Claw code 前面做了什麼 Claw code 也吃得到Hermes 累積的筆記跟對話 比較像同一組助理在輪班接力 他還會把整套系統整理成一個看得懂的畫面 你可以直接看到模型用了多少 記憶有沒有接上,聊天紀錄在不在 工具串了哪些,哪裡同步成功 重點不是畫面漂亮,是你不用東翻西找 裡面還有一個設計叫Pantheon 你可以把它想成一疊角色卡 有人專門查資料,有人擅長深度思考 也有人負責背景任務 像早上整理重點 定時做摘要這種 你不用每次自己重建設定 只要照對角色,他就幫你分工 他還能接Obsidian讓Hermes不只看眼前一句話 也能看你以前累積的筆記跟資料 再透過Claw code S-bridge讓手機端跟桌機端互相同步 外面記下的點子 回到電腦前就能直接接著做 更實用的是他不只聊天,是真的可以動手 示範裡Hermes有接Telegram, GitHub, Apollo, Gmail 也能串行示例工具 還能透過NCP去接其他服務 他不只會回你,還能幫你建repo 也就是建立程式碼倉庫同步角色 先幫你寫信草稿,看行程,甚至整理潛在客戶名單 Apollo那一段就很有畫面 假設你是顧問或代理商老闆 在路上突然想到一個特定市場 比如德州奧斯廳等屋頂工程公司 以前你可能得得回到電腦前再慢慢查名單 現在你可以直接在Telegram丟訊息給Hermes 叫他先整理這個市場常見痛點 再用Apollo抓一批企業名單 等你坐回桌前已經不是我有一個想法 而是我手上有一份可以開始聯絡的名單 但像Gmail這首工具 最適合的做法不是自動寄出 而是先幫你寫草稿 速度有了,最後還是你自己確認 懶歸懶不能亂按送出 這點連貓都懂 如果你一天到晚在手機電腦會議之間切來切去 這套就很值得看 一二個換到3D主角是Pixel 3D 如果你有碰3D遊戲原型概念設計 應該都懂一個痛點 很多把圖片轉成3D的工具 做出來不一定不像 但就是跟圓圖插一口氣 輪廓跑掉,細節變頓 甚至正面還行 一轉角度就開始怪 Pixel 3D比較特別的地方是 它很努力讓成品第一眼看起來像圓圖 尤其是輪廓跟細節 它比很多同類工具更拼 如果你想把一張怪獸插圖 先變成遊戲裡能擺的3D雛形 或者你在做場景操稿 只想先把東西立起來 這時候Pixel 3D就很適合 也就是說它比較適合做草稿起點 不太適合直接當最後成品 它是Tencent TRC Research Lab推出的開放全軸模型 地層有用到Trailus 2跟Directs 3D 而且可以本機跑 不過它吃硬體大概要24GB RAM 一般筆電多半撐不住 所以很多人還是會改用Rumpad這種雲端GPU服務 即便這樣它還是很有吸引力 跟一些舊方法比起來Pixel 3D 在不少案例裡更能保住原本的視覺感 特別是風格化物件、創意道具這種 某些成果甚至已經逼近Triple這類很強的商用工具 但它不是沒有缺點 因為它太努力忠於圖片 所以有些時候反而不太擅長把整個立體形狀想清楚 你轉的角度背面可能出現怪東西 硬邊很多結構很明確的物件 像武器或機械裝備也可能做得不太穩 所以如果你是做概念發想、關卡、草稿、背景道具、風格化環境的人 這工具會很省事 但如果你要直接拿去做超精細成品 後面通常還是得整理、修模 另外它現在比較像是開放點研究用途 能不能商用、範圍還不明朗 接案的人或新創團隊要特別注意 實際流程上很多人會先在Rumpod開環境 用SH連進去 再配Coco這類寫程式助理幫你處理 以前光安裝就能把人搞到想睡 現在多一個AI助理幫你處理 門檻低不少 工具你可以寄Pixel 3D、Trailiser Direct 3D、RunPod 檢查成果可以進Blender 第三個我覺得超階地氣 有人直接叫Coco去試五種副業 看看到底能不能真的賺到錢 這一段很有意思 因為它不是在吹AI什麼都行 而是很老實的測 哪些事Coco真的有幫上忙 哪些地方還是要靠人 哪些案子現在做了大概也只會撞牆 這五種副業分別是Amazon KDP Airbooks 社群Teracell 也就是可滑動的圖卡設計 用CocoDesign做Pitch Deck提案簡報 Coco.Hicks View做AIUGC Ads 也就是AI生成的擬支援廣告 還有用Coco自動化支援Instagram爆款內容 先講Amazon KDP Airbooks 很多人以為出電子書最難的是寫字 其實最難的是找題目 科爾在這裡先幫忙找主題 查資料整理架構 後來把題目縮到更具體的方向後 內容品質其實不錯 但現實很直接 上架之後銷量是零 這就提醒我們 AI可以幫你把內容做出來 不代表市場需求會自己冒出來 第二個是Caresol圖卡設計 Cloud很適合吃進BRAND背景 需求跟內容架構 先吐出一版像樣草稿 但還沒有到可以直接交客戶 還是要有人修 第三個是提案簡報 大公司的成就、客戶、服務、定位、品牌色 丟給Cloud Design 它會先幫你整理結構、寫文案 再做出一版很像樣的視覺草稿 照片、logo、排版細修還是要人收尾 但第一版已經很有用 第四個是Claude 搭Hicksfield 做AIUGC Ads 直面上很吸引人 因為電商品牌很需要廣告素材 但真的做下去問題就來了 畫面太假、動作不自然、可性感不夠 這種東西你不太敢交給客戶 第五個反而是最成功的 是用Claude做Instagram內容研究跟腳本發想 還會去找近期健康研究 抓出睡眠、走路、糖分、體重這些主題 再整理成有機會打中的內容方向 最後寫出腳本 結果其中一支內容表現不錯 後面還真的談到月顧問合作 這整組測試最值得記的判準很簡單 最能賺的往往是AI先做研究 整理第一版再由真人收尾 最容易翻車的則是最後成品 要超像真人超有信任感 但現在AI還穿不起來的暗形 所以Claude不會自動替你印鈔票了 但他很適合幫你把接案流程 內容工作前面的路先鋪好 工具可以記Claude、Claude Design、Hitsfield、Amazon KDP 還有Claude Stop App 搭配一样AI操作電腦的流程 第四個 繼續講Claude 但方向換成個人做事效率 你就是把它做成一套你自己的個人系統 這題超多人有感 你在走路、通勤、剛開完會的時候 腦中明明有事情 但只要記入流程一麻煩 研究懶了 結果代辦沒記好 提醒散一地 日記寫一半 行程也沒整合 這套做法想解的就是 先把記下來這件事變得超輕鬆 再讓AI幫你整理後面那一大坨 流程其實很直白 有人在外面想到事 就先用Telegram丟語音Whisper幫你轉文字 AI幫你判斷就是 代辦、日記、提醒還是某個習慣紀錄 再讓進Superbase 等你回到電腦打開控制台 就能直接看到今天該做什麼 整套工具包含 Cold Code Chat GPT Superbase Versel Telegram Buffader Whisper Google Calendar 外加一個自己的網頁控制台 這跟一般代辦清單最大的差別 不只是畫面 而是底下那層記憶是你自己的 資料存在Superbase 這種你能控制的資料庫裡 不是被某個聊天機器人的黑核記憶所住 白話一點就是你的生活資料還在你手上 在這個案例裡 首頁會把重要任務形成習慣財物狀況放在一起看 你可以把它想成自己的生活控制台 像原本散在各個地方的資訊被拉近同一個地方 今天最重要的幾件事直接浮出來 我自己覺得最聰明的是日記記憶最快 很多人日記寫完就放著了 但如果這些內容也進到記憶系統裡 久了之後 AI就能幫你看出一些你平常不一定注意到的模式 比如你一周後回頭看 它可能提醒你哪種會議最好神 或者要睡不夠 工作效率跟運動完成率就一起往下掉 這時候日記就不只是抒發 而是真的能回頭幫你調整生活 當然它不是一件完成的夢幻工具 前面要先在Codecide把介面想清楚 再丟給Codecode實作 接著設Superbase 接Telegram 串Bowfather 用Whisper做轉路 中間還要一直除錯 所以它很有價值 但建置成本也真的不低 如果你一直覺得現成工具 怎麼用都卡 這條路會很值得參考 真正值錢的不只是漂亮界面 原則上 內存你自己擁有的記憶系統 最後第五個 來點創作者會很愛的 就是用AID成本做3D卡通動畫 連對白跟對嘴都一起處理 這題超常見 很多人想做動畫短片 但一想到建模、分鏡、角色、配音、剪輯 就先累一半 反而流程又貴又花時間 對新手或小團隊真的很硬 這套流程的核心工具不複雜 RGBT負責想故事 補分鏡寫提示 Google Flow AI負負責深圖跟深影片 最後再丢進Tapcut、Filmore 或Insert這種剪輯工具 把片段接起來 第一步是先把模糊想法 拆成能做的場景 比如你只知道自己想做一支 可愛的咖啡約會動畫 但根本還沒有每一幕要發生什麼 這時ChatGPT可以先幫你把故事、畫面、動作、對白都整理出來 第二步最關鍵是讓角色不要每一幕都變樣 這其實是很多AI動畫最容易翻車的地方 這套做法的技巧是 Flow AI在做下一幕時 會盡量拿前一幕圖片當參考 因為一旦角色外觀比較穩 你的作品就不會像一堆隨機圖片硬湊在一起 而開始有點像真的動畫序列 第三步是把圖變成有對白、會動、會對嘴的短片 這裡ChatGPT會再幫你把需求整理成比較清楚的提示 包含角色要說什麼 鏡頭怎麼帶、場景要有什麼動作 再交給Google Flow AI去轉成影片片段 這整套最吸引人的地方就是成本低很多 對剛起步的人來說 你不用一開始就砸大錢 也不用先學一整套專業動畫軟體 不過它比較適合做短片、系列內容 或先做出能發布的雛形 不是直接做出專業長片 最後剪輯還是很重要 你還是得自己看片段順不順、銜接怪不怪、節奏有沒有拖 但跟以前比 現在你真的可以用快很多的速度 把一個腦中小故事做成看得見的作品 商業方向也很清楚 第一種是做固定角色的系列故事 慢慢養自己的YouTube頻道 第二種是接教育、社群或娛樂短片的案子 第三種更有意思是做一個可以長期經營的虛擬角色賬號 因為當角色被記住之後 它就不只是一支影片 而是可以一直重複利用的角色資產 如果你是個源創作者、小型團隊或做教育內容的人 這條路會讓你比較敢開始試 工具有ChatGPT、Google Flow AI 最後再接CapCut、Phil Moray或InShot 今天這五套流程、方向真的差很多 但共通點、很好記、好用的AI 不是只負責讓你挖一下 而是真的能把那些重複、卡住、切來切去的麻煩式拿掉 從Hermesagen搭ClarCode的接力助理 到Pixel 3 D幫你把2 D圖更像樣的變成3 D從Clar幫你驗證副驗哪裡能賺 哪裡會翻車 到自己做一套個人系統把資料抓回手上 再到用ChatGPT 跟Google Flow AI低成本做動畫 重點都一樣 AI最有價值的地方 還是在真實使用情境裡幫你少浪費力氣 掌摸魚跟上AI 記得訂閱、AI熱搜報 如果今天的內容讓你有點收穫 那就幫我到Apple Podcast 留個五星好評吧 FB、IG、Threads,So AI熱搜報就找得到我了 今天的AI熱搜報就報到這 我要去睡午覺了 我們明天見 掰掰 聊天啊 Mia Mia Mia Mia