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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Production resilience patterns for AI agents: circuit breakers for LLM APIs, exponential backoff with jitter, fallback models, and graceful degradation strategies.
Technical guide to GPT-5.4's computer use capabilities for building AI agents that interact with desktop UIs, browser automation, and real-world application workflows.
Analysis of Gartner's prediction that 40% of enterprise apps will embed AI agents by late 2026, with a practical implementation guide covering governance, risk management, and architecture.
Architectural comparison of multi-agent topologies including flat, hierarchical, and mesh designs with performance trade-offs, decision frameworks, and migration strategies.
How to design tool functions that LLMs can use effectively with clear naming, enum parameters, structured responses, informative error messages, and documentation.
Navigate the current regulatory landscape for AI agents including EU AI Act enforcement, NIST Agent Standards Initiative, and practical compliance requirements for developers.
Managing context in long-running AI agents: conversation summarization, selective pruning, sliding window approaches, and when to leverage 1M token context versus optimization strategies.
How AI sales agents automate BDR workflows with inbound lead qualification, outbound batch calling campaigns, real-time transcription, lead scoring, and CRM integration patterns.
