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Content repurposing / AI workflows

Source-backed creator statements and evidence excerpts related to Content repurposing / AI workflows.

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A small amount of expert input can be turned into many high-quality assets — blog posts, social posts, videos, images — when the workflow is designed correctly.

@@tjrobertson52 · asserts

re a business owner, you're the expert in something and you likely already have a lot of data or some kind of internal knowledge base. The input we use are these videos that I record while walking my dog or more often the transcript from these videos. But one of the first things we do in working as clients is identify that input and gather everything we c...

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Will AI Replace Content Creators? No way. Algorithms favor quality and AI can help you create...

@@tjrobertson52 · 2025-11-22

So I hope businesses get recommended by large language models primarily by creating a large amount of content. And one question that naturally comes up a lot is, is there any point in making content when AI is going to start pumping out a ton of content? And my answer is unequivocally yes. I really think it's the best time to be creating content. So I'd l...

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Evidence Passages

So I hope businesses get recommended by large language models primarily by creating a large amount of content. And one question that naturally comes up a lot is, is there any point in making content when AI is going to start pumping out a ton of content? And my answer is unequivocally yes. I really think it's the best time to be creating content. So I'd like to explain why. The fear, of course, is that your content is gonna be lost in an ocean of content created by AI. The primary reason this isn't the case is t...
re a business owner, you're the expert in something and you likely already have a lot of data or some kind of internal knowledge base. The input we use are these videos that I record while walking my dog or more often the transcript from these videos. But one of the first things we do in working as clients is identify that input and gather everything we can gathering case studies, anything you've written on the past, any kind of knowledge base and we're also gonna interview you to get all the information we can....
e so than it already is today. And when people go to a large language model to ask for recommendations, which they surely will, that large language model is gonna be searching through all that content, or at least the content that's high enough quality to be surfaced. So my advice is to start thinking about how you can make sure more of that content recommends you than your competitors.