Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Build a complete call analytics pipeline that records calls, transcribes them, and extracts actionable insights using AI. Covers recording APIs, speaker diarization, sentiment analysis, and trend detection.
Build an AI-powered outbound calling system for appointment reminders and follow-ups. Covers call scheduling, personalization, voicemail detection, and TCPA compliance for automated outbound calls.
Build an AI phone screening agent that identifies callers, detects intent, filters spam, and routes calls by priority. Covers real-time caller analysis, blocklist management, and VIP routing patterns.
Learn how to add AI agents to conference calls as real-time participants. Covers conference bridge setup, live transcription, automatic note-taking, action item extraction, and post-meeting summaries.
Master DTMF tone detection and processing in AI voice agents. Learn to build hybrid voice-and-keypad interfaces, handle multi-digit input, implement timeouts, and create fallback paths for accessibility.
Build an intelligent voicemail system that transcribes messages, scores priority, extracts action items, and schedules callbacks automatically. Covers voicemail detection, message processing, and smart notifications.
Learn how to horizontally scale AI agent systems to handle thousands of concurrent sessions using stateless design, session affinity, load balancing, and auto-scaling strategies that maintain conversation coherence under heavy load.
Explore how to use message queues like RabbitMQ, Amazon SQS, and Apache Kafka to manage AI agent workloads with reliable delivery, backpressure handling, dead letter queues, and consumer scaling patterns.
