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 with human approval gates for sensitive actions, including notification systems, configurable timeout handling, delegation chains, and audit logging for compliance.
Learn how to schedule AI agent tasks with cron expressions, implement idempotent recurring analyses, prevent overlapping runs, and build periodic reporting pipelines that run reliably in production.
Master retry strategies, compensation logic, idempotency keys, and dead letter handling to build resilient agent workflows that recover gracefully from partial failures.
Create a multi-stage content publishing agent that drafts articles, routes them through AI reviewer agents, tracks versions, manages edits, and publishes to a CMS via API.
Implement fan-out fan-in patterns for AI agents to distribute work across parallel sub-tasks, aggregate results, handle partial failures gracefully, and enforce timeouts on straggler tasks.
Build a research synthesis agent that collects data from diverse sources in parallel, resolves conflicting information, and produces coherent analytical summaries using structured prompting.
Learn how to design a comprehensive evaluation framework for AI agents covering metric selection, dataset creation, and automated scoring pipelines that scale across dozens of agent capabilities.
A practical guide to defining, measuring, and improving task completion rate for AI agents, including handling partial completions, multi-step tasks, and ambiguous success criteria.
