About Us

About AI Guy in LA

AI Guy in LA is a hands-on AI project hub dedicated to building practical, real-world AI solutions—not demos, not theory-only experiments, but systems designed to work in production.

This platform documents the full journey of designing, testing, and deploying AI-powered tools, with a strong focus on automation, developer-ready frameworks, and real business use cases. Every project is built with the goal of solving tangible problems and reducing complexity for creators, developers, and organizations.

At its core, AI Guy in LA bridges the gap between AI theory and deployable solutions. The work shared here includes real experiments, technical breakdowns, and case studies drawn from hands-on development—covering everything from early prototypes to production-grade implementations.

A major focus of the platform is the development of AI agents using a practical Brain + Hands architecture. This approach separates decision-making and reasoning (the “brain”) from execution and system interaction (the “hands”), resulting in AI systems that are modular, auditable, and easier to scale.

In addition, the platform explores AI-powered WordPress development, showing how AI can be embedded into existing ecosystems through custom plugins, automation pipelines, and intelligent content workflows—without sacrificing security, performance, or maintainability.

Focus Areas

  • AI-powered WordPress plugins & integrations
    Building custom plugins that integrate AI capabilities directly into WordPress workflows.
  • Automation scripts and intelligent workflows
    Designing systems that reduce manual work through smart automation and event-driven logic.
  • Custom AI agents (Brain + Hands architecture)
    Developing structured AI agents that think, decide, and act in controlled, production-ready environments.
  • Applied AI for content, analytics, and productivity
    Using AI to enhance content creation, data analysis, and operational efficiency.

AI Guy in LA is an ongoing, evolving lab—focused on learning by building, improving through iteration, and sharing insights that help others move from ideas to working AI systems.