@gamingguru218: පාතලා සිද්ධි ☠ #GamingGuru218 #gtav #GTA5 #viral #fyp

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🎮Gaming guru🎮
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Wednesday 11 November 2026 15:09:02 GMT
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alex1m196
❸.❷❾ ✘☘☎ :
මොකද බන්.ගෙම් එක..pc එකක්ද
2026-11-12 03:51:45
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duminduprabuddha2008
මදාවි පාරාදීසය 🏄‍♂️ :
Game name
2026-11-12 01:44:46
2
_tishan76
Tιʂԋαɳ 🖤 :
Mod eka denoko😞
2026-11-12 01:21:49
3
nipun__21
👀🕊 :
Rp da mee
2026-11-12 02:48:02
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najanrock
"ɴᴀᴊᴀɴ"😈🫂 :
link eka dannako
2026-11-12 03:42:05
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ya_si_ru1234
Y̶A̶S̶I̶R̶U̶😈 :
😮‍💨
2026-11-12 01:42:52
1
dincoconcretework
The Mix :
kohomada mn camera eka angel vena's kale
2026-11-12 03:58:27
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saduka.harsha1
𝙎𝘼𝘿𝙐 👀🔥🌀 :
2026-11-12 01:20:29
1
patiya_awa_bn
PATiya_awa :
2026-11-11 20:19:43
2
aakalanka0808
@么 𝐀𝐊𝐈 𝐎𝐅𝐅𝐈𝐂𝐈𝐀𝐋🇲🇾 :
😁
2026-11-12 03:57:37
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k_kasun
K.S.Kasun :
Yako ctb ekakuth giya
2026-11-12 01:12:24
1
sanuj..0
:~•ZEUS•~: :
@ISU KAVIYA 💫 😅
2026-11-12 01:37:44
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kaviya_0211
𝙺𝐀𝚅𝐈𝚈𝐀 :
@Gi_Ha_N 🇧🇷
2026-11-12 03:10:28
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dee.._420
ᦔꫀꫀకꫝꪖꪶꪖ :
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2026-11-11 15:12:22
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naveendevinda999
NaveenDew🛸 :
❤️‍🔥
2026-11-11 15:27:28
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dulshan.maduranga1
𝗗𝘂_𝗹𝗮 "🫀🇱🇰🇧🇭 :
@GaYaNtHa DiLsHaN 👁️‍🗨️💞
2026-11-12 03:07:01
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kaushalya.rg
@𝒦 :
😎😎
2026-11-11 15:18:11
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vihaga6283
vihaga :
🥰🥰🥰
2026-11-12 04:21:18
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Other Videos

Why most first AI projects fail in the first month (and how to build one that lasts) Why most first AI projects fail, and how to build AI automation for a small business that lasts. MIT looked at hundreds of company AI projects last year, and 95 percent made no measurable difference to the bottom line. This isn't only a beginner problem. Meet Maya, who runs a small online candle shop. She watched a few videos, got excited, and spent three weekends building four AI things: an AI agent that answers every customer email, plus automations for orders, reviews and social posts. Week one felt like magic. Week four, she turned it all off. Here is the autopsy, cause by cause, so yours makes it: 1. She started with the coolest idea, not the biggest pain. Social posts were fun to build, but her real time sink was customer email: about 40 a day, mostly
Why most first AI projects fail in the first month (and how to build one that lasts) Why most first AI projects fail, and how to build AI automation for a small business that lasts. MIT looked at hundreds of company AI projects last year, and 95 percent made no measurable difference to the bottom line. This isn't only a beginner problem. Meet Maya, who runs a small online candle shop. She watched a few videos, got excited, and spent three weekends building four AI things: an AI agent that answers every customer email, plus automations for orders, reviews and social posts. Week one felt like magic. Week four, she turned it all off. Here is the autopsy, cause by cause, so yours makes it: 1. She started with the coolest idea, not the biggest pain. Social posts were fun to build, but her real time sink was customer email: about 40 a day, mostly "where's my order". The fix: track your week first. The job you do most, the same way every time, is your first AI workflow. 2. She never measured the before. When it felt like it wasn't working, she couldn't prove it either way. The fix: write down one number on day one. For Maya it was 11 hours a week on email. 3. The AI didn't know her business. Nobody gave it her return policy, so it made one up: 30 days, when her real policy is 14. The fix is a briefing: your policies, prices, shipping times and tone in plain files the AI reads before every reply, so it looks things up instead of guessing. 4. No human in the loop. This is the one that actually killed it. At 2 in the morning the AI promised next-day delivery on a custom order that takes a week, and one angry review ended her trust in all of it. The fix: start with drafts and approve every reply for the first two weeks. Once an email type has been right 100 times in a row, let that type go out on its own. 5. She built four things at once. When something broke, she couldn't tell which one. The fix: one build at a time, tested on 50 of your real past emails before it ever touches a live customer. So she rebuilt it: one job (customer email), one number (11 hours a week), a briefing with her real policies, drafts she approves, tested on 50 old emails first. A month later it answers most "where's my order" emails on its own and she's down to 2 hours a week. Then she built the next one. The AI was never the problem. The way she built it was. This applies to any small business that wants to use AI to automate customer emails: online shops, service businesses, agencies, solo founders. #aiautomation #aiagents #aiemployee #learnai #ai

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