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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How AI agents interact with databases safely using read-only tools for queries, write-through validation layers, and event-driven updates via message queues.
Practical ROI frameworks for AI agents including time saved, cost per interaction, process acceleration, and revenue impact calculations with real formulas and benchmarks.
Current state of AI agent safety research covering alignment techniques, sandbox environments, constitutional AI applied to agents, and red-teaming methodologies.
Build a three-agent data pipeline with ingestion, transformation, and analysis agents that process data from APIs, CSVs, and databases using Python.
When to use stateful agents with session history versus stateless agents with external state. Covers hybrid approaches and state externalization patterns.
Navigate the current regulatory landscape for AI agents including EU AI Act enforcement, NIST Agent Standards Initiative, and practical compliance requirements for developers.
How to run AI agents on edge devices using NVIDIA Nemotron, Meta Llama, GGUF quantization, local inference servers, and offline-capable agent architectures.
Why enterprises are shifting from generalist chatbots to domain-specific AI agents with deep functional expertise, with examples from healthcare, finance, legal, and manufacturing.
