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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Learn how to build an AI agent that manages restaurant reservations, handles capacity logic, confirms and cancels bookings, and operates an intelligent waitlist with automatic promotion.
Create an AI agent that aggregates tracking data from multiple carriers, predicts ETAs, handles delivery exceptions, and provides real-time package status through a conversational interface.
Explore speculative execution techniques for AI agents including prediction models, cache warming, speculative tool calls, and rollback strategies that reduce perceived latency by pre-computing likely outcomes.
Understand why domain-specific vertical AI agents consistently outperform general-purpose solutions. Explore the competitive moats, specialization strategies, and real-world examples across legal, healthcare, finance, and software engineering.
Build a semantic search system that handles live document updates with queue-based ingestion, incremental vector indexing, and near-real-time search freshness without rebuilding the entire index.
Learn how to build a real-time orchestration dashboard for AI agent workflows. Covers UI components, status tracking, timeline views, error drill-down, and the backend API that powers it all.
Learn how to build an AI-powered answering service agent that handles inbound calls around the clock, takes messages, answers FAQs, and routes urgent calls — so small businesses never lose a lead to voicemail.
Understand how LLM watermarking techniques embed detectable signals in generated text, how detection algorithms work, and the implications for agent transparency, compliance, and content provenance.
