I'm a SaaS founder, and in the live chat, I often find myself replying to the same questions over and over.
The AI Chatbot would be able to replace a human for most of the users' questions, and you'll be able to step into the conversation if needed (also later via email).
Userdesk currently supports training a Chatbot using Notion, the sitemap.xml of a website, and PDF files.
How do you differentiate to chatbase, sitegpt, and all the other providers out there? I am also building algomo, a customer service automation platform and wonder how you are thinking about the problem of competition
At the moment the main diversification is about using Notion as the data for training (along with sitemap.xml and PDFs).
I'll probably get a better idea by talking to the users.
Competition is high, but I think there's a space for every product, and if those already present are successful, it means that the product is already validated.
I'm kinda curious how you back yourself from hallucinations or uncontrolled behaviour of your chatbots ? Do you use some kind of SLA ?
Anyway good work !
It's important to reduce hallucinations, and with a good prompt it's possible to reduce them.
You basically tell the LLM to avoid answering if the context is not enough.
So, most of the time the Chatbot will correctly reply, and that's already a big advantage.
With Userdesk you can supervise the conversations, and the Chat widget automatically asks for the email of the user, so you can always provide support via the live chat or email later on.
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[ 4.5 ms ] story [ 27.1 ms ] threadI'm a SaaS founder, and in the live chat, I often find myself replying to the same questions over and over.
The AI Chatbot would be able to replace a human for most of the users' questions, and you'll be able to step into the conversation if needed (also later via email).
Userdesk currently supports training a Chatbot using Notion, the sitemap.xml of a website, and PDF files.
I'd really love to get your feedback
At the moment the main diversification is about using Notion as the data for training (along with sitemap.xml and PDFs).
I'll probably get a better idea by talking to the users.
Competition is high, but I think there's a space for every product, and if those already present are successful, it means that the product is already validated.
It's important to reduce hallucinations, and with a good prompt it's possible to reduce them.
You basically tell the LLM to avoid answering if the context is not enough.
So, most of the time the Chatbot will correctly reply, and that's already a big advantage.
With Userdesk you can supervise the conversations, and the Chat widget automatically asks for the email of the user, so you can always provide support via the live chat or email later on.