Emi Yakushev is a Product Marketing Specialist at CustomAI Studio, where she runs content and SEO — turning the firm's engineering work into plain-language explainers on agentic AI, AI agents, MCP, and the systems behind custom AI builds.
She writes the studio's case studies and technical articles and shapes its search and content strategy. Before CAIS, she was a marketing strategist at Zenna Consulting Group, where she ran SEO and content for client campaigns.
Harness engineering is how teams make AI agents reliable: the tools, enforced rules, verification loops and state that turn a model into a working system.
Agent skills are reusable instruction packs that teach an AI agent to do a task your way. What they are, how to build one, and why teams start a skill library.
The build vs buy AI decision, made practical: buy when the task is generic and low-risk, build when it is specific to your business, and use six questions to decide.
Prompt engineering is writing clear, specific instructions that get reliable results from AI models. Core techniques, a before-and-after example, and where it fits.
MCP, the Model Context Protocol, is the open standard that connects AI to your tools and data. What it is, why it exists, and why it matters for custom AI.
AI agents and agentic AI, explained without the hype: what an agent actually is, the parts that make one work, the autonomy spectrum, and what it means for your business.
A vector database lets AI search information by meaning, not keywords. What it is, how embeddings and similarity search work, and why it powers RAG.
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