Deep technical guides for building, scaling, and operating AI voice agents — OpenAI Realtime API, Twilio, multi-agent architectures, observability, and reliability patterns.
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How to architect multi-language AI voice agents — language detection, voice selection, accent handling, and per-language prompt tuning.
Architecture patterns for scaling AI voice agents to 1000+ concurrent calls — horizontal scaling, connection pooling, and queue management.
Production reliability patterns for AI voice agents — multi-region failover, circuit breakers, graceful degradation.
A developer guide to building multi-agent voice systems with the OpenAI Agents SDK — triage, handoffs, shared state, and tool calling.
Deep dive into the real-time STT → LLM → TTS pipeline that powers modern AI voice agents — latency, streaming, and error recovery.
Complete setup guide for connecting Twilio to an AI voice agent — SIP trunking, webhooks, streaming, and production hardening.
Build a post-call analytics pipeline with GPT-4o-mini — sentiment, intent, lead scoring, satisfaction, and escalation detection.
A full technical walkthrough of how modern AI voice agents work — speech-to-text, LLM orchestration, TTS, tool calling, and sub-second latency.
