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 ServiceNow's Now Assist and AI agents automate IT service management, HR service delivery, and customer service workflows with enterprise-grade reliability.
Practical strategies for reducing LLM token costs in agentic systems including compact prompts, tool result summarization, selective context, and model tiering approaches.
How IQVIA built and deployed 150+ AI agents for clinical trial site selection, regulatory compliance, and drug discovery — with enterprise architecture lessons.
Deep dive into NVIDIA OpenShell's policy-based security model for autonomous AI agents — network guardrails, filesystem isolation, privacy controls, and production deployment patterns.
Deep dive into Claude Sonnet 4.6 for coding and agentic tasks — $3/$15 pricing, 64K output tokens, benchmark results, and when to choose Sonnet over Opus for production agents.
Complete tutorial on the OpenAI Agents SDK covering agent creation, tool definitions, handoff patterns between specialist agents, and input/output guardrails for safe AI systems.
Technical comparison of NVIDIA's NemoClaw enterprise platform vs OpenClaw open-source for AI agent deployment — covering security, policy enforcement, and architecture tradeoffs.
Data-driven analysis of enterprise AI agent adoption showing 327% increase in multi-agent systems, the shift to domain-specific agents, and measurable business results in 2026.
