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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Architectural comparison of multi-agent topologies including flat, hierarchical, and mesh designs with performance trade-offs, decision frameworks, and migration strategies.
Practical cost reduction strategies for AI agents including semantic caching, intelligent model routing, prompt optimization, and batch processing to cut LLM API spend.
Comprehensive guide to semantic search for AI agents covering embedding model selection, document chunking strategies, and retrieval optimization techniques for production systems.
Build IT helpdesk AI agents with multi-agent architecture for triage, device, network, and security issues. RAG-powered knowledge base, automated ticket creation, routing, and escalation.
Agent-specific prompt engineering techniques: crafting effective system prompts, writing clear tool descriptions for function calling, and few-shot examples that improve complex task performance.
Analysis of Google Cloud's 2026 AI agent trends report covering Gemini-powered agents, Google ADK, Vertex AI agent builder, and enterprise adoption patterns.
How to design tool functions that LLMs can use effectively with clear naming, enum parameters, structured responses, informative error messages, and documentation.
Technical comparison of RPA and AI agents covering rule-based vs reasoning architectures, when to use each, migration strategies, and hybrid automation approaches.
