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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Complete testing guide for AI agents covering mocking LLM responses for unit tests, integration testing with tool calls, and end-to-end evaluation with golden datasets.
Head-to-head comparison of ElevenLabs Conversational AI and OpenAI Realtime API for building voice agents: latency, voice quality, pricing, languages, and function calling.
Step-by-step tutorial on building an MCP server in TypeScript, registering tools and resources, handling requests, and connecting to Claude and other LLM clients.
Comprehensive guide to NIST's new standards for autonomous AI systems covering security requirements, interoperability, international alignment, and practical compliance steps.
Technical comparison of GPT-5.4 Mini (fast, cost-efficient, 2x faster) vs GPT-5.4 Thinking (deep reasoning) for different AI agent use cases with benchmarks and decision framework.
Technical analysis of NVIDIA's Vera CPU designed for agentic AI workloads — why the CPU is the bottleneck, how Vera's architecture addresses it, and what it means for agent performance.
Technical exploration of adaptive thinking in Claude 4.6 — how the model dynamically adjusts reasoning depth, its impact on agent architectures, and practical implementation patterns.
AutoGen deep dive covering conversable agents, group chat patterns, code execution sandboxing, human proxy agents, and custom agent types for production multi-agent systems.
