About the service
I develop conversational products end-to-end: voice skills for Alexa and Google Assistant, IVR bots that actually answer phone calls, and text chatbots for websites, messengers, and support services. My goal is not a flashy demo, but an assistant that understands what the person is actually saying, maintains conversation context, and gets the client to the result they need. Every project starts with working through the actual dialogue, because a bot is only as good as the live conversation it can conduct.
Inside I cover the entire language processing pipeline: intent recognition, entity extraction, slot filling, handling misunderstood phrases, and confidence thresholds — so the assistant asks a clarifying question rather than guessing. I write scenarios that branch cleanly, recover from misunderstandings, and hand off to a live operator at the right time. In the voice part, tone, interruptions, timeouts, and speech recognition tuning matter; in the text part — tone, quick replies, and cards. I connect all of this to your real systems — CRM, order database, knowledge base, booking or payment API — through clean webhooks, so responses are live, not pre-recorded.
You get a working assistant, a trained model, dialogue documentation, and a short guide for your team to add more intents later. I test on real user formulations, measure recognition accuracy and the share of completed scenarios, and refine until the numbers are solid. Typical timeframe is about nine days depending on the number of intents and integrations.
— Voice skills for Alexa and Google Assistant
— IVR bots for telephony and chatbots for websites and messengers
— NLU: intents, entities, context, and smart fallbacks
— Integration with CRM, databases, and your internal APIs
Inside I cover the entire language processing pipeline: intent recognition, entity extraction, slot filling, handling misunderstood phrases, and confidence thresholds — so the assistant asks a clarifying question rather than guessing. I write scenarios that branch cleanly, recover from misunderstandings, and hand off to a live operator at the right time. In the voice part, tone, interruptions, timeouts, and speech recognition tuning matter; in the text part — tone, quick replies, and cards. I connect all of this to your real systems — CRM, order database, knowledge base, booking or payment API — through clean webhooks, so responses are live, not pre-recorded.
You get a working assistant, a trained model, dialogue documentation, and a short guide for your team to add more intents later. I test on real user formulations, measure recognition accuracy and the share of completed scenarios, and refine until the numbers are solid. Typical timeframe is about nine days depending on the number of intents and integrations.
— Voice skills for Alexa and Google Assistant
— IVR bots for telephony and chatbots for websites and messengers
— NLU: intents, entities, context, and smart fallbacks
— Integration with CRM, databases, and your internal APIs
