AI in ContextLiveEpisode
AI Content Repurposing, Clearly Explained
AI in Context, episode 06: posts from things you already said. A live working session, recorded. “I would like to show you all of the steps.”
Chapters
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- 0:00Most AI content sucks because it's not human
- 2:43Everything from clipping to adding graphics
- 4:01What ends up performing is a whole idea
- 4:29I use FFmpeg locally on my computer
- 5:29The basic agent workflow
- 6:07Measurement and analytics
- 6:58I store all of that into convex
- 7:46The data over 47 days
- 11:17No impact on posting hours
- 12:12Correlation between volume and success
- 16:36Reactions are very important to me
- 17:50Discovery is through agents
- 19:28The quantity versus quality approach
- 20:15A very simple piece of content
- 21:47Scripts written by AI are often bad
- 23:49You have an opinion
- 28:09I wanted to talk cost
- 32:16I have specifically not made this an agent
- 33:10You should absolutely be experimenting a lot
- 34:54That transcript bank that you have
- 38:50Very strongly on the value side
- 43:14If I were to choose a single channel
- 44:53The biggest challenge is consistency
Lines worth keeping
Worth keeping
- 1:05“Most AI content sucks because it's not human and people don't care about stuff that's just AI slop.”
- 12:16“If you do more, you will succeed more.”
- 23:49“You have an opinion.”
- 4:15“You want to give people a whole idea, not a partial idea.”
- 22:06“What is working for me personally is recording my actual thoughts, like really just taking a video of me talking about my thoughts.”
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