Browse Comments — LLM coded
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Nice automation. How do you prevent losing your authenticity and credibility with your followers if AI is doing all of this for you and you no longer personally contribute? And what value do social media platforms still have if AI agents start posting and replying?
Great job! Now I'm waiting for somebody to build an AI system that consumes LinkedIn posts, so we all don't have to watch all these AI-generated posts. Just imagine how much time that would free up, what efficiency!
Going from one sentence to a fully published video is wild. The fact that this runs on 17 specialized skills and handles everything autonomously shows how far agentic workflows have come. Great build.
Frankly speaking I'm really frustrated by the amount of AI-generated content on YT. It is kinda clickbait, you start watching, after a minute or two realizes it is AI and then you stop watching. Simply because of poor quality, glitches and generic inaccurate video of no value.
Most people don’t actually need “autonomous agents,” they need reliable content systems that don’t break when the input changes or the platform shifts. I see this a lot while building Collio AI
Enrique Marq, I really appreciate the engineering and the idea behind this, it’s impressive work. I do wonder, though: what’s the end goal when this level of automation is applied to social media, which originally existed for human expression and connection? If our social presence is generated by AI, posts written in our “voice,” scripts authored by systems trained to sound like us, what are we actually doing when we “connect” online? At that point, it feels less like people sharing genuine thoughts and reactions, and more like AI systems interacting with each other on our behalf. If everyone is doing this, what’s the point of socializing at all? Part of the value of connection is the time, effort, and intent behind it. Writing something yourself, crafting a thoughtful message, spending attention, that effort is a signal that the people you’re talking to matter. It’s a bit like a handwritten note or choosing a meaningful gift. The effort itself carries meaning. If we outsource that entirely, we may gain efficiency, but we lose the original purpose: the human care behind the act.
I looked at the comments section here to check how many people tolerate and appreciate being told what to do and how to do it without experimentation and data about real results. And I’ll say this again: Ai doesn’t belong on LinkedIn. 90% of automation connection with the LinkedIn app is being either PUNISHED by the algorithm or BANNING accounts. If not today, then “tomorrow”. Not to mention Ai is thinking for all of us, based on everything it learned about each one of us. And it is using average fractions of the internet. If you saw who was feeding Ai you wouldn’t use it for a shortcut
Impressive level of automation, but the real question is elsewhere: where does human value sit in the loop? If everything becomes generation + distribution, differentiation won’t be production anymore but framing, ideas, and editorial intent. That’s where the human layer becomes critical again.