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Beyond the AI Chatbot Hype: Why We Built a Hybrid Agent Instead of Buying One
How-ToMachine Learning

Beyond the AI Chatbot Hype: Why We Built a Hybrid Agent Instead of Buying One

via Dev.toSergey1mo ago

The honest story of evaluating the chatbot market, rejecting every SaaS option, and building a hybrid rule-based + AI system that costs $50/month instead of $1,500+. A Brief History of Terrible Chatbots Website chatbots have been promising to revolutionize customer service since 2016, when Facebook opened the Messenger Platform and 100,000 bots appeared overnight. Most were garbage — rigid button menus pretending to be conversations. Press 1 for support. Press 2 to speak to a human. Press 3 to give up. The next wave (2018–2022) brought NLU frameworks like Dialogflow, Rasa, and IBM Watson. These could actually understand natural language — sort of. They required training on hundreds of labeled examples, constant retraining as language drifted, and a dedicated ML engineer to maintain them. Gartner noted that 70% of these projects failed, not because the technology was bad, but because organizations underestimated the ongoing work. Then 2023 happened. ChatGPT showed the world what LLMs co

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