@nguyenvanhieu0312: Hẹn trạng r tới ngày mang đến ghép thì họ né.mang ra hội thì gặp phải đội bạn bảo cũng kết mang đi hội ế ghép gà mình thì bạn lại ứ chịu đá giá nào cũng k chơi. Chán quá ae ạ🙃🙃🙃 coi như bắn chân# vần độ tới đi đá vậy 🥰#gà #VietNamToiYeu #gà_chọi_việt_nam #thomo #tôiyeudongvat #chiếnke #gàthomo

Nguyễn văn Hiếu
Nguyễn văn Hiếu
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Region: VN
Friday 28 April 2023 10:15:37 GMT
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hoangquybonsai
Quý chân dài :
Gà trạng bn b ơi
2023-04-28 14:39:04
1
haihiep1102
Hải ka ka :
Gà mình ở đâu vậy bạn
2023-04-29 03:39:30
0
hunghoahong53
Hùng Hoa Hồng :
anh gà mình bán k
2023-04-28 14:49:09
1
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The entire roadmap to learn AI, in one video Everything I know, in the order that actually works. Seven stops — and at every one: what you learn, how long it takes, and what you can BUILD the day you finish it. 1 — FOUNDATIONS (one focused day). What this technology actually is, and the difference between a chat, an automation, and an agent. Basic, and it's what makes everything after it click instead of feeling like magic. 2 — CONTEXT. Your world written into plain files: what your business does, who your customers are, how you talk. That's your second brain. → An AI that answers about YOUR business instead of the average one. 3 — PROCESS MAPPING (a week). Draw the map before you build: what happens first, where a decision gets made, where it ends. Almost everyone skips this, which is why they spend months building the wrong system beautifully. 4 — AUTOMATIONS (first one: an afternoon). Work that fires on its own. Lead comes in → sheet updates → message goes out → follow-up waits two days and checks. → A flow that handles something you do by hand every week. 5 — AI INSIDE THE AUTOMATION. The intelligence takes the step that needed a person: reads the email, decides what it is, pulls the details, sends it down the right path. → A system that makes the call, then acts on it. 6 — AGENTS. AI with a goal and a loop: plan, do, check, fix, again — until it's finished. And here you gain the judgment that separates operators from hobbyists: when plain automation is enough, when to add AI, when a job needs a full agent. 7 — AI EMPLOYEES + THE COMMAND CENTER. An agent that STAYS: memory so corrections stick, skills written once, working in your real accounts behind guardrails where risky moves wait for your yes — all run from one board. → A workforce. Alongside it all: building your own tools. Describe what you wish existed and build it. Your ideas turn into products. Two to three months of focused learning and this stuff is genuinely running parts of your work. #aiautomation #aiemployee #aiagent
The entire roadmap to learn AI, in one video Everything I know, in the order that actually works. Seven stops — and at every one: what you learn, how long it takes, and what you can BUILD the day you finish it. 1 — FOUNDATIONS (one focused day). What this technology actually is, and the difference between a chat, an automation, and an agent. Basic, and it's what makes everything after it click instead of feeling like magic. 2 — CONTEXT. Your world written into plain files: what your business does, who your customers are, how you talk. That's your second brain. → An AI that answers about YOUR business instead of the average one. 3 — PROCESS MAPPING (a week). Draw the map before you build: what happens first, where a decision gets made, where it ends. Almost everyone skips this, which is why they spend months building the wrong system beautifully. 4 — AUTOMATIONS (first one: an afternoon). Work that fires on its own. Lead comes in → sheet updates → message goes out → follow-up waits two days and checks. → A flow that handles something you do by hand every week. 5 — AI INSIDE THE AUTOMATION. The intelligence takes the step that needed a person: reads the email, decides what it is, pulls the details, sends it down the right path. → A system that makes the call, then acts on it. 6 — AGENTS. AI with a goal and a loop: plan, do, check, fix, again — until it's finished. And here you gain the judgment that separates operators from hobbyists: when plain automation is enough, when to add AI, when a job needs a full agent. 7 — AI EMPLOYEES + THE COMMAND CENTER. An agent that STAYS: memory so corrections stick, skills written once, working in your real accounts behind guardrails where risky moves wait for your yes — all run from one board. → A workforce. Alongside it all: building your own tools. Describe what you wish existed and build it. Your ideas turn into products. Two to three months of focused learning and this stuff is genuinely running parts of your work. #aiautomation #aiemployee #aiagent

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