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 production FAQ agent that retrieves answers from knowledge bases using semantic search, applies confidence thresholds to avoid hallucination, and tracks unanswered questions to improve coverage over time.
Implement real-time sentiment analysis that detects frustrated or angry customers during support interactions and triggers automatic escalation to senior agents before the situation deteriorates.
Build an AI agent that looks up order status in real time, formats tracking updates conversationally, sends proactive notifications, and integrates with shipping carrier APIs for end-to-end visibility.
Build an AI agent that handles returns and refunds by enforcing company policies, managing approval workflows, processing partial refunds, and handling exceptions with proper escalation for edge cases.
Learn how to build a knowledge base management system that ingests content, tracks freshness, detects gaps, and ensures your support AI agent always provides accurate and current answers.
Implement seamless human handoff in AI support systems with intelligent escalation triggers, full context transfer, agent assist mode, and routing logic that preserves conversation continuity.
Learn how to measure AI support agent effectiveness using CSAT scores, resolution rates, containment rates, and improvement loops that drive measurable gains in customer satisfaction.
Build a multi-language AI support agent with automatic language detection, real-time translation, culturally adapted responses, and quality assurance pipelines that maintain accuracy across all supported languages.
