How We Built a Production Voice AI Agent in Under 8 Weeks (With Twilio + Anthropic Claude)

Earlier this year, we shipped Loquent — a production conversational AI platform that handles real phone calls, books appointments, processes patient follow-ups, and verifies insurance — completely ...

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How We Built a Production Voice AI Agent in Under 8 Weeks (With Twilio + Anthropic Claude)

Source: DEV Community

Earlier this year, we shipped Loquent — a production conversational AI platform that handles real phone calls, books appointments, processes patient follow-ups, and verifies insurance — completely autonomously, 24/7. We built it in under 8 weeks. This isn't a tutorial about building a toy chatbot. This is a breakdown of what it actually takes to get voice AI into production — the architecture decisions, the hard lessons, and the specific stack we used. The Problem We Were Solving Healthcare and dental clinics miss a massive percentage of inbound calls. Front desks get overwhelmed during peak hours. Patients call after hours and get voicemail. Appointments slip through. The ask: build an AI system that could handle inbound and outbound calls — booking appointments, confirming details, following up with patients, verifying insurance — without a human in the loop. Not a demo. Not a prototype. Production. Real patients. Real clinics. Real calls. The Stack Before diving into architecture, h

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