How I Built a Fully Autonomous AI Chatting System for Fanvue — Runs 24/7, Zero VAs

makes sense, free trials attract exactly the guy who wants the gf experience for $0. that ladder is basically what good human chatters call spend mapping, interesting to see it works automated too. How do you tag whale potential early - explicit signals in what they say (job, lifestyle) or purely from behavior like tip speed and first PPV reaction?
Yes, they just cancel right away, with a bs reason to justify their cheap behavior. And only whales are going to spend rent money on your models.
 
wait so the AI actually sounds human? no one complained about detection? thats the most impressive part tbh
Yeah but you need to do back and forth feedback to have it chat properly. After that, yeah no one complains.
 
Really interesting setup . The chatting side makes sense now, but I'm more curious about the traffic part.

Are your Fanvue subs mainly coming from IG, X or Threads? And roughly how many accounts/posts are you running per model to keep a steady flow of new subs?

Also are you doing everything organic or using paid traffic anywhere?
 
Really interesting setup . The chatting side makes sense now, but I'm more curious about the traffic part.

Are your Fanvue subs mainly coming from IG, X or Threads? And roughly how many accounts/posts are you running per model to keep a steady flow of new subs?

Also are you doing everything organic or using paid traffic anywhere?
only thing that matters for real money is virality. I can tell you how many ig or x accounts I'm running, but really what's gonna carry my income is 1 account that's doing millions of views per month, so focus on making viral videos.
 
This configuration is truly impressive and offers significant cost optimization. Reducing reliance on VAs saves a great deal of time, effort, and personnel costs. If the system is operating stably, this is a direction worth pursuing further.
 
AI Chatter closing $500 PPV messages.
 

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As someone using hermes agent automation I'm impressed with the workflow using n8n. Understanding the problem and domain expertise for this case being the guy that can train humans is the sauce. Tools are the last part.
 
I'd love to see examples of the chat quality. Lots of industry standard tools have AI chatting built in nowadays, but the problem is it actually loses money because, while cheaper than a human chatter, it can't make nearly the same sales.
 
I'd love to see examples of the chat quality. Lots of industry standard tools have AI chatting built in nowadays, but the problem is it actually loses money because, while cheaper than a human chatter, it can't make nearly the same sales.
It needs back and forth learning as I said above, you need to read the chats yourself and see where it fucjs up and teach it how to reply. After a month or so it will be really good.
 
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