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 comprehensive governance systems for autonomous AI agents including control plane dashboards, kill switches, audit trails, budget enforcement, and human escalation mechanisms with production-ready Python implementations.
Learn how to build an AI-enhanced RPA bot that goes beyond traditional rule-based automation. Covers decision-making, exception handling, legacy system integration, and patterns for robust desktop and web automation.
Build a production-grade price monitoring agent that scrapes multiple e-commerce sites, extracts prices with AI, detects changes, sends alerts, and maintains a historical price database for trend analysis.
Learn to build an AI agent for social media automation covering platform API integration versus browser automation, content scheduling, engagement monitoring, and rate limiting strategies.
Learn how to build AI agents with metacognitive capabilities — uncertainty estimation, confidence calibration, knowledge boundary detection, and know-when-to-ask patterns that make agents more reliable and honest.
Discover how plan-and-execute agent architectures split high-level reasoning from step-by-step execution, enabling robust replanning on failure and efficient handling of complex multi-step tasks.
Learn how to build AI agents that perform causal reasoning using causal graphs, interventions, and counterfactual analysis — moving beyond pattern matching to genuine understanding of cause and effect.
Master the technical details of resolution management, coordinate scaling, multi-monitor awareness, and viewport configuration for reliable Claude Computer Use agents across different display setups.
