Voice Assistant & Chatbot Development
Service description
I design and build conversational products end to end: voice skills for Alexa and Google Assistant, IVR voice bots that answer real phone calls, and text chatbots that live on your site, in messengers or inside your support desk. My focus is not a novelty demo but a assistant that understands what people actually say, keeps the context of the conversation, and finishes the task the customer came for. Every project starts with the dialog itself, because a bot is only as good as the conversation it can hold.
Under the hood I handle the whole natural-language pipeline: intent recognition, entity extraction, slot filling, fallback handling and confidence thresholds, so the assistant asks a clarifying question instead of guessing wrong. I write dialog flows that branch gracefully, recover from misunderstandings, and hand off to a human when they should. On the voice side I care about prompts, barge-in, timeouts and speech recognition tuning; on the text side about tone, quick replies and rich cards. I connect all of it to your real systems — CRM, order database, knowledge base, booking or payment API — through clean webhooks, so answers are live rather than scripted.
You receive a working assistant, the trained model, the dialog documentation and a short guide for your team to extend intents later. I test with real user phrasings, measure recognition and completion rates, and iterate until the numbers are solid. Typical delivery runs about nine days depending on the number of intents and integrations.
— Voice skills for Alexa and Google Assistant
— IVR phone bots and text chatbots for web and messengers
— NLU: intents, entities, context and smart fallbacks
— Integration with CRM, databases and your internal APIs
Under the hood I handle the whole natural-language pipeline: intent recognition, entity extraction, slot filling, fallback handling and confidence thresholds, so the assistant asks a clarifying question instead of guessing wrong. I write dialog flows that branch gracefully, recover from misunderstandings, and hand off to a human when they should. On the voice side I care about prompts, barge-in, timeouts and speech recognition tuning; on the text side about tone, quick replies and rich cards. I connect all of it to your real systems — CRM, order database, knowledge base, booking or payment API — through clean webhooks, so answers are live rather than scripted.
You receive a working assistant, the trained model, the dialog documentation and a short guide for your team to extend intents later. I test with real user phrasings, measure recognition and completion rates, and iterate until the numbers are solid. Typical delivery runs about nine days depending on the number of intents and integrations.
— Voice skills for Alexa and Google Assistant
— IVR phone bots and text chatbots for web and messengers
— NLU: intents, entities, context and smart fallbacks
— Integration with CRM, databases and your internal APIs
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