Many companies use this style of "support" in place of employing real people and don't provide a method to escalate to a real human.
Many companies use this style of "support" in place of employing real people and don't provide a method to escalate to a real human. What guard do I have, as a consumer, against trash like that? What makes yours unique? When I call for support I expect to receive support. I have never ever had an AI or robot support assistant that actually provides the help that I need when I call. How do you address the possibility of LLM generating absolutely false information? Do you actively tell the user where they can contact a real human to provide feedback about the terrible customer support response that your product will undoubtedly provide? Or is this just another dumpster fire of "it sounds like you're having trouble with our product. here's our FAQ..."? Does your product integrate with internal company APIs? How do you deal with the risk of customers abusing that?
Posted by inetknght on Jun 14, 2024, 5:02 PM
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- Compose support in WSLc
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Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
support (Other)
some bike vendor told me that the biggest problem with regular to ebike conversion was that regular bike frames were not strong enough to...
I think of this as the kiosk economy.
What a goofy comment.
There's lots of evidence for positive influences of Caffeine on the body (some negative as well), especially the brain.
Compose support in WSLc
[RFC] Roadmap to v2.0
[Feature]: Add TurboQuant Support for KV Cache Quantization
Support for AGENTS.md and .agents/skills/, the community has been asking since August 2025
Many companies use this style of "support" in place of employing real people and don't provide a method to escalate to a real human.
Many companies use this style of "support" in place of employing real people and don't provide a method to escalate to a real human. What guard do I have, as a consumer, against trash like that? What makes yours unique? When I call for support I expect to receive support. I have never ever had an AI or robot support assistant that actually provides the help that I need when I call. How do you address the possibility of LLM generating absolutely false information? Do you actively tell the user where they can contact a real human to provide feedback about the terrible customer support response that your product will undoubtedly provide? Or is this just another dumpster fire of "it sounds like you're having trouble with our product. here's our FAQ..."? Does your product integrate with internal company APIs? How do you deal with the risk of customers abusing that?
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