Certainly seems to lend itself to automation way more than actual opinions. Set a bunch of measurable conditions tied to generic article prompts that relate to that condition (“late viewership surge” in this case or similar? Didn’t read it lol), and then just run a routine that watches the metrics for all big IPs, checking each for your list of conditions, and let it fire away.
Devil is in the details and I’m not claiming that’s an afternoon’s worth of work for something convincing/ sophisticated, but what I’m describing is ultimately just quantifiable inputs and outputs with some “LLM window dressing” so it feels natural to readers. And of course the articles end up feeling thin and cheap as a result.
Edit: I should add, this is just in reference to discussion on metric-centric articles in general, not the one in the OP (which doesn’t look AI-y at a glance)
Certainly seems to lend itself to automation way more than actual opinions. Set a bunch of measurable conditions tied to generic article prompts that relate to that condition (“late viewership surge” in this case or similar? Didn’t read it lol), and then just run a routine that watches the metrics for all big IPs, checking each for your list of conditions, and let it fire away.
Devil is in the details and I’m not claiming that’s an afternoon’s worth of work for something convincing/ sophisticated, but what I’m describing is ultimately just quantifiable inputs and outputs with some “LLM window dressing” so it feels natural to readers. And of course the articles end up feeling thin and cheap as a result.
Edit: I should add, this is just in reference to discussion on metric-centric articles in general, not the one in the OP (which doesn’t look AI-y at a glance)