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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A systematic framework for reviewing AI agent architectures, identifying common anti-patterns, and making concrete improvement recommendations that increase reliability and reduce cost.
A curated guide to the best newsletters, conferences, communities, research papers, and experimentation habits for keeping your agentic AI skills sharp as the field evolves rapidly.
How to transition from building agents alone to leading a team of AI engineers, covering team structure, project planning, code review practices, and knowledge sharing for agentic AI projects.
How to build a consulting business around agentic AI development, including service packaging, pricing strategies, client management, project delivery, and building case studies that win new business.
Prepare for AI agent system design interviews with common problem types, structured answer frameworks, evaluation criteria interviewers use, and trade-off discussion patterns.
An analysis of emerging patterns in agentic AI and the skills that will remain valuable as the field evolves, with practical advice on where to invest your learning time for long-term career resilience.
A practical guide to running open-source language models on your own hardware using Ollama, vLLM, and llama.cpp, covering installation, model management, API compatibility, and performance optimization.
Practical techniques to reduce voice AI agent latency below 500ms — covering streaming STT, early TTS start, connection reuse, speculative generation, and end-to-end pipeline optimization strategies.
