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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Build an AI agent that tracks Individualized Education Program goals, manages accommodation compliance, generates progress reports, and coordinates the special education team.
Discover how to apply chaos engineering to AI agent systems by designing controlled failure experiments, measuring blast radius, defining steady state, and building confidence in agent resilience under real-world conditions.
Master capacity planning for AI agent systems by learning demand forecasting, resource modeling, headroom calculation, and scaling trigger design to keep your agents performant under growing workloads.
Build self-healing AI agent infrastructure with health checks, automated recovery procedures, restart policies, and intelligent scaling rules that keep your agents running without manual intervention.
Learn how to create effective operational runbooks for AI agent systems, covering runbook design principles, step-by-step troubleshooting procedures, automation opportunities, and knowledge transfer practices.
Design effective on-call systems for AI agents with PagerDuty setup, rotation design, escalation policies, alert routing, and post-incident review processes tailored to the unique demands of autonomous agent systems.
Define and measure Service Level Agreements for AI agent systems with practical guidance on SLA definition, measurement methodology, automated reporting, and penalty handling for production agent deployments.
Implement canary deployments for AI agent systems with traffic splitting, health checking, automated rollback, and progressive delivery strategies that catch regressions before they affect all users.
