@mccordparry: And then it was October.. Utah 📍 Shot on DJI mini 5 pro @DJI Official @Construct Build.Co #Dji #CityTasteTest #djimini5pro #autumn

McCord182

Open In TikTok:

Region: US

Thursday 08 October 2026 03:20:05 GMT

4598

600

10

19

Music

Download

No Watermark .mp4 (3.99MB) No Watermark(HD) .mp4 (3.14MB) Watermark .mp4 (3.63MB) Music .mp3

Comments

ch593 :

ur state is out of this world

2026-10-25 00:58:41

3

Kalogerasedits :

So pretty

2026-10-10 16:39:01

2

skeeterpeter :

those colors are amazing

2026-10-25 04:57:40

0

taylar :

I want to go

2026-10-08 05:41:38

1

Michelle Moore :

2026-10-25 04:04:09

0

Dean😎 :

🥰🥰🥰

2026-10-08 05:22:14

0

#AmariNextChapterEra :

I hope your success gets so loud your fears don't know where to hide. I hope love finds you, peace keeps you, and courage leads you. I hope the right people cheer for you, the right doors open for you, and you never apologize for taking up space in your own beautiful life.

2026-10-25 04:56:14

0

💐💕May Harper🩷💐 :

Jesus loves you

2026-10-25 01:11:58

0

To see more videos from user @mccordparry, please go to the Tikwm homepage.

Other Videos

#ايه_ياتري_ياهل_تري #شاديه #explore #تصميم_فيديوهات🎶🎤🎬 #الشعب_الصيني_ماله_حل😂😂

#ايه_ياتري_ياهل_تري #شاديه #explore #تصميم_فيديوهات🎶🎤🎬 #الشعب_الصيني_ماله_حل😂😂

#firmantuhan #renunganhariankristen #saatteduh #kasihkarunia #injil

#firmantuhan #renunganhariankristen #saatteduh #kasihkarunia #injil

Sports schools tier list! Who belongs where? #CollegeFootball #cbb #collegesports #ncaa

Sports schools tier list! Who belongs where? #CollegeFootball #cbb #collegesports #ncaa

Is this controversial??

Is this controversial??

AI can already cut, caption and format a clip for you. Free GitHub skills teach Claude the editing part in minutes. So why isn't everyone going viral off podcast clips? Because editing was never the hard part. Choosing the moment is. AI does not know which 47 seconds out of a two hour conversation deserve to become the clip. No context. No content intelligence. Here is how you build that layer. Scrape the latest 100 clips from the biggest podcast short form accounts. Steven Bartlett, Chris Williamson, Alex Hormozi, anyone running serious long form volume. Capture views, post date, duration, transcript, text overlay and format. Then scrape their original long form episodes and pull the complete transcripts with timestamps. The timestamps are non negotiable. They are what lets Claude match every clip back to the exact episode and the exact moment it came from. Now you reverse engineer the decision. Why those 47 seconds. Where the clip starts. What context got removed. Whether the payoff moved forward. What spoken hook, text overlay and format they used. And how it performed against that account's normal clips. Run enough of these and the patterns surface. Turn the patterns into a Claude skill that understands how the best podcast teams select and package their clips. Then hand it any new timestamped transcript. It returns the strongest moments, exact timestamps, hook options, text overlays, formats and editing instructions. The editing skill does the easy part. None of this needs new software. The tools exist. The clipping skills exist. The data is public. Nobody is assembling it into an intelligence layer. Impossible to fail does not mean every clip goes viral. It means every clip starts with real evidence, and every result makes the next selection smarter. Build the selection layer first. The edit is the easy bit.

AI can already cut, caption and format a clip for you. Free GitHub skills teach Claude the editing part in minutes. So why isn't everyone going viral off podcast clips? Because editing was never the hard part. Choosing the moment is. AI does not know which 47 seconds out of a two hour conversation deserve to become the clip. No context. No content intelligence. Here is how you build that layer. Scrape the latest 100 clips from the biggest podcast short form accounts. Steven Bartlett, Chris Williamson, Alex Hormozi, anyone running serious long form volume. Capture views, post date, duration, transcript, text overlay and format. Then scrape their original long form episodes and pull the complete transcripts with timestamps. The timestamps are non negotiable. They are what lets Claude match every clip back to the exact episode and the exact moment it came from. Now you reverse engineer the decision. Why those 47 seconds. Where the clip starts. What context got removed. Whether the payoff moved forward. What spoken hook, text overlay and format they used. And how it performed against that account's normal clips. Run enough of these and the patterns surface. Turn the patterns into a Claude skill that understands how the best podcast teams select and package their clips. Then hand it any new timestamped transcript. It returns the strongest moments, exact timestamps, hook options, text overlays, formats and editing instructions. The editing skill does the easy part. None of this needs new software. The tools exist. The clipping skills exist. The data is public. Nobody is assembling it into an intelligence layer. Impossible to fail does not mean every clip goes viral. It means every clip starts with real evidence, and every result makes the next selection smarter. Build the selection layer first. The edit is the easy bit.

About

Robot
API

Legal

Privacy Policy