Magic Inspector

Maker

📌

Hi Makers, I'm Kevin, CEO and co-founder of tryalfred.chat During our startup journey, Aurélien and I have spend so much time chatting with our customers that we noticed three things: - most questions can be answered automatically - all AI based chatbot are providing a bad experience to their users - existing solutions pricing are misaligned with their customers So we decided to build our own version of it. Our pricing is based on resolutions, so you only pay if our tool works. We provide the following features: ✅ Train it on multiple sources (Websites, Documents, Q&A...) ✅ Collect emails ✅ AI resolution (closes conversation based on sentiment analysis) ✅ Feedback loop (to improve AI responses) ✅ Human handoff with a realtime inbox ❤️ Built with love, by startupers, for statupers ❤️ Can't wait for having your feedback :)

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1yr ago

the_web_scaler

@kevin_piacentini Hey! just had a chat with Alfred, works Smooth! I'm sure anyone looking at Fred will love him. Btw, any plans to market him well? I'd like to help Alfred become a brand :)

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1yr ago

Alexis Raimbault

Digital Pets

Great tool, looks very useful, will definitely try it on on a few projects!

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1yr ago

Kristoffer Bindesbøll

Tradervoice.io

Congratulations on the launch @kevin_piacentini and Aurélien! Seems like the whole idea and also the impression I get from checking out Alfred, is to increase the value of AI chatbot solutions. We are going to need a feature like this on our site, and I will definitely talk to my two partners about using Alfred. I believe we can save huge amounts of time, letting Alfred handle our users questions, letting us focus on our product development. Thanks to the team for providing Alfred. All the best. Kristoffer Bindesbøll

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1yr ago

Kevin Piacentini

Magic Inspector

Maker

@kristoffer_bindesboll Thanks for this supportive feedback. Can't wait to onboard you guys :)

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1yr ago

Daxeel Soni

Token Around

Hey Team Alfred Chat, a big congrats on your launch! 🎉 It's awesome to see AI making customer support more seamless and accessible around the clock. One suggestion: it'd be cool to see some case studies or examples of Alfred handling complex queries. How does Alfred continue to learn from customer interactions?

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1yr ago

Kevin Piacentini

Magic Inspector

Maker

@daxeelsoni Thanks for your support and for your suggestion, very helpful! We'll start writing content and customer studies for sure :) Regarding self improvement that's a complex topic that we're actively solving. At the moment we're still improving our core retrieval algorithms on a macro level by analysing the resolution rate across all our users. We're also making it easier for customer support teams to add more content and fill the gap when customers ask questions and the AI cannot find the right response.

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1yr ago

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