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 protocols like Anthropic's MCP and Google's A2A enable agents to discover and interact with each other, creating agent marketplaces and service networks in 2026.
How to A/B test AI agents in production: traffic splitting, evaluation metrics, statistical significance, prompt version comparison, and architecture experiments.
When fine-tuning beats prompting for AI agents: dataset creation from agent traces, SFT and DPO training approaches, evaluation methodology, and cost-benefit analysis for agentic fine-tuning.
Forward-looking analysis of the AI agent landscape in 2027 covering agent-to-agent economies, persistent agents, regulatory enforcement, hardware specialization, and AGI implications.
Implementing an agent gateway with API key management, per-agent rate limiting, intelligent request routing, audit logging, and cost tracking for enterprise AI systems.
Analysis of Google Cloud's 2026 AI agent trends report covering Gemini-powered agents, Google ADK, Vertex AI agent builder, and enterprise adoption patterns.
Build IT helpdesk AI agents with multi-agent architecture for triage, device, network, and security issues. RAG-powered knowledge base, automated ticket creation, routing, and escalation.
How to design tool functions that LLMs can use effectively with clear naming, enum parameters, structured responses, informative error messages, and documentation.
