1. Home
  2. Detail

@xjess.hughes: #fyp

Jessica
Jessica
Open In TikTok:
Region: TH
Sunday 08 November 2026 14:11:47 GMT
175
7
0
1

Music

Download

No Watermark .mp4 (0.86MB) No Watermark(HD) .mp4 (0.86MB) Watermark .mp4 (0MB) Music .mp3

Comments

There are no more comments for this video.
To see more videos from user @xjess.hughes, please go to the Tikwm homepage.

Other Videos

الفنان عبد الحليم حافظ يشارك الأستاذ طلال مداح أداء أغنية
الفنان عبد الحليم حافظ يشارك الأستاذ طلال مداح أداء أغنية "يا سارية خبريني. #أعظم_صوت_عربي #طلال_مداح #عبدالحليم_حافظ #fyp
Terlepas suka tidaknya kita dengan beliau,pantaskah beliau diperlakukan sperti itu? #jokowidodopresidenkita
Terlepas suka tidaknya kita dengan beliau,pantaskah beliau diperlakukan sperti itu? #jokowidodopresidenkita
What’s up… been a minute 🖤 #OOTD #chicoutfits #fall #fyp #outfits
What’s up… been a minute 🖤 #OOTD #chicoutfits #fall #fyp #outfits
Agnes Tachyon Teaches Why You Can’t Reach A Rainbow 😭🌈 #umamusume #umamusumeprettyderby #agnestachyon #learnontiktok #fyp
Agnes Tachyon Teaches Why You Can’t Reach A Rainbow 😭🌈 #umamusume #umamusumeprettyderby #agnestachyon #learnontiktok #fyp
Why AI automation isn't working for your business (build the system first) Why AI isn't working in your business, and how to build a system before you touch another tool. If you've tried every AI tool and nothing changed, you skipped the system. You know the cycle. A new AI agent drops, you lose a weekend to it, twelve automations later nothing in your business is different, then the next shiny tool comes out and you start over. Every tool needs the same thing to work: a business it can understand. If your process lives in your head, no AI can run it. I worked through this with a real estate agent in rentals. He had a dozen half-built AI projects and was answering renters at midnight. Here is how we fixed it: 1. Decide the one job. AI to do what? His answer was renters. Then we turned it into numbers: every renter answered in under 5 minutes, zero wrong prices, and he only touches the conversations that need him. 2. Map the conversations. We pulled two weeks of renter messages and sorted them. Seven in ten were the same four questions: is it available, are pets allowed, when can I see it, how do I apply. For each one he wrote down what he does today. That list was his system. 3. Split it into facts, rules and judgment. Facts go in one Google Sheet, one row per apartment, so the AI never finds the wrong version of a price. Rules go in one short document: how he talks, what he never promises, broken heaters go to maintenance, fair housing questions go to a person. Judgment stays with him: discounts, complaints, anything not in the sheet. 4. Human in the loop. The AI drafts a reply, flags it and asks him. He answers once, it goes into the sheet or the rules, and next time it knows. That's how the system grows. Two weeks in, renters got an answer in about 2 minutes and nine conversations out of ten never needed him. Most of that work had nothing to do with AI, it was his system organized so AI could use it. When the next tool comes out, he plugs the same system in within an afternoon. This is for business owners, and for anyone who builds AI automation for clients. Your assignment: write down the one job you'd hand to AI tomorrow, and what success looks like in numbers. That one line is your first system. #aiautomation #aiagents #n8n
Why AI automation isn't working for your business (build the system first) Why AI isn't working in your business, and how to build a system before you touch another tool. If you've tried every AI tool and nothing changed, you skipped the system. You know the cycle. A new AI agent drops, you lose a weekend to it, twelve automations later nothing in your business is different, then the next shiny tool comes out and you start over. Every tool needs the same thing to work: a business it can understand. If your process lives in your head, no AI can run it. I worked through this with a real estate agent in rentals. He had a dozen half-built AI projects and was answering renters at midnight. Here is how we fixed it: 1. Decide the one job. AI to do what? His answer was renters. Then we turned it into numbers: every renter answered in under 5 minutes, zero wrong prices, and he only touches the conversations that need him. 2. Map the conversations. We pulled two weeks of renter messages and sorted them. Seven in ten were the same four questions: is it available, are pets allowed, when can I see it, how do I apply. For each one he wrote down what he does today. That list was his system. 3. Split it into facts, rules and judgment. Facts go in one Google Sheet, one row per apartment, so the AI never finds the wrong version of a price. Rules go in one short document: how he talks, what he never promises, broken heaters go to maintenance, fair housing questions go to a person. Judgment stays with him: discounts, complaints, anything not in the sheet. 4. Human in the loop. The AI drafts a reply, flags it and asks him. He answers once, it goes into the sheet or the rules, and next time it knows. That's how the system grows. Two weeks in, renters got an answer in about 2 minutes and nine conversations out of ten never needed him. Most of that work had nothing to do with AI, it was his system organized so AI could use it. When the next tool comes out, he plugs the same system in within an afternoon. This is for business owners, and for anyone who builds AI automation for clients. Your assignment: write down the one job you'd hand to AI tomorrow, and what success looks like in numbers. That one line is your first system. #aiautomation #aiagents #n8n
cadillac juani bo hech saearaek naheshtotawa😍🇺🇸#cadillac #escalade #cadillacescalade #ahmad_raptor
cadillac juani bo hech saearaek naheshtotawa😍🇺🇸#cadillac #escalade #cadillacescalade #ahmad_raptor

About

Legal