Adrian Westmere is an AI systems writer with 8 years (since 2017) of experience focusing on AI agents, workflow automation, and large language model applications. He helps developers and technical teams understand how modern AI systems operate in real-world environments.
His work focuses on agentic workflows and AI orchestration, including multi-agent systems, conversational AI assistants, AI SDR platforms, prompt engineering, and retrieval-augmented generation (RAG). Adrian explains how AI agents process context, interact with APIs, and automate complex workflows.
He frequently writes about LLM infrastructure, automation strategy, and AI deployment, helping readers evaluate tools based on practical functionality rather than hype. His approach emphasizes scalability, usability, and clear implementation guidance.
Specialization: AI agents · Agentic workflows · LLMs · Prompt engineering · AI automation
Education: BS Computer Science, Georgia Institute of Technology, 2012 · AI Engineering Certification, DeepLearning.AI, 2021