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@quckhnh0071: chưa có lục nghề nha ae #slingshot #trendingtiktok #xuhuongtiktok #DIY #ilovetiktok
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Region: VN
Saturday 17 October 2026 07:10:33 GMT
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Comments
z :
leyendas
2026-11-12 04:30:23
11
Let her go :
2026-11-11 12:39:00
30
Đen đá ít đường :
đi máy hơi lố tay
2026-10-17 11:14:29
3
★彡ابو ايات彡★ :
2026-11-11 20:30:55
2
natan🪱 :
2026-11-11 15:55:43
1
MeeR 💞 :
2026-11-11 12:25:37
3
1 % :
2026-11-11 14:59:53
2
Jesús :
2026-11-12 03:55:54
0
sakibul ❤️🩹 :
bg"vh,hfcx"
2026-11-04 01:59:37
1
yasin :
2026-11-11 14:37:01
1
Zephyr౨ৎ :
càng làm cangd gớm
2026-10-18 05:29:53
2
N.H.Đăng :
cho e đi ah
2026-10-29 16:23:04
1
bánh mì 0 :
Thua
2026-11-12 02:15:17
0
✨𝓢𝓽𝓮𝓵𝓵𝓪𝓻 𝓢𝓱𝓪𝓭𝓸𝔀 ✨ :
@メ𝓦𝓪𝓵𝓵𝓮𝓽メ
2026-11-11 07:48:10
2
Chamroeun phearom :
😁😁
2026-10-18 05:27:32
1
To see more videos from user @quckhnh0071, please go to the Tikwm homepage.
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I’m really happy that those of you who wanted to see how I create these animations finally got to see the process:) Sorry if everything looks a little messy this time. I was in a hurry and working in conditions I’m not quite used to. Tomorrow I’ll post a scanned version of this animation in higher resolution! Hope is a fascinating part of being human. From an evolutionary perspective, our ability to imagine a better future helps us keep going, adapt, and find solutions even when things seem impossible. In a way, hope is something we all share. We all hope for something, whether it’s something that could change our entire lives or just make tomorrow a little better. And perhaps that’s what makes hope so beautiful. We don’t need to know that something good will happen to believe that it might. For example, I hope you’ll enjoy this video :) #hope #animation #art #edit #watercolor
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AI automations never clicked because nobody explained fields Everyone teaches what an automation is. Almost nobody explains what's actually moving inside one — and that missing piece is exactly why AI automations feel like fog until they suddenly click. This video is the deep, slow explanation of that piece: fields and mapping. The mental model: every automation is an envelope riding a conveyor belt of machines. Each machine opens it, reads what it needs, adds its own labeled pages, and passes it on. Followed through one real envelope — a wedding photographer's contact form: The form creates the envelope — labeled pages: NAME (Sarah), EMAIL, MESSAGE ("do you shoot weddings in October?"). Mapping — building means pointing labels into boxes: the TO box gets whatever's on the EMAIL page, "Dear {NAME}". Every email that's ever greeted you by name did exactly this. The AI step is just another machine — pages in, pages out. The pro move: make it answer in labeled pages, not a paragraph — CATEGORY: wedding inquiry, URGENCY: high, DRAFT: the reply in your voice. Now its thinking is mappable. AI output plugs into anything — body → DRAFT, CRM tag → CATEGORY. Apps can't tell your typing from AI's thinking. Once it's a field, it's a field. Branching — the URGENCY page splits the line: high → your phone buzzes, low → morning summary. The AI's judgment becomes a switch other machines obey. You're on the belt too — the approval step pauses everything and waits for your tap; your yes is just another field. Ten seconds of judgment instead of an evening of typing. Plus the one habit that teaches this faster than any tutorial: run one real thing through a flow, then click each step and read the envelope — what came in, what got added. That's also what debugging actually is. Want to build the skill end to end — AI from scratch, automations, agents, AI employees? I put together seven courses that take you there. It's all in my profile. #automation #aiautomation #aiagents #professorglitch
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