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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Master cross-application automation with Microsoft UFO by building workflows that transfer data between Excel, Outlook, browsers, and desktop applications through coordinated multi-app sequences.
Build a multi-agent debate system where pro and con agents construct opposing arguments while a judge agent evaluates quality, driving convergence toward more accurate and nuanced answers.
Learn the most effective document chunking methods for RAG pipelines including fixed-size, semantic, and recursive splitting, with guidance on overlap, chunk sizes, and markdown-aware strategies.
Learn how to securely manage OpenAI API keys using environment variables, key rotation, organization and project keys, proxy patterns, and secrets management.
Implement blue-green deployment strategies for AI agent services to achieve zero-downtime updates, safe model swaps, traffic splitting, and instant rollback for prompt and model changes.
Master OpenAI's JSON mode and structured outputs to extract reliable, schema-validated data from LLMs with guaranteed format compliance and Pydantic integration.
Understand what Retrieval-Augmented Generation is, why it exists, how the core architecture works, and when to choose RAG over fine-tuning for grounding LLM responses in your own data.
Learn systematic approaches to profile AI agent latency, identify bottlenecks in multi-step pipelines, and apply targeted optimizations using timing decorators, flame charts, and parallel execution patterns.
