Building software, automating workflows, and turning ideas into completed projects
I’ve always enjoyed figuring out how things work, whether that’s building a website, creating an animation, developing an interactive experience, or finding a better way to handle a complicated production workflow.
Agentic AI takes that curiosity in a new direction.
Unlike traditional conversational AI, which primarily helps generate ideas and information, agentic AI can take a more active role in completing tasks. I’ve been exploring how AI agents can interact with software, work through multistep processes, assist with development, and help turn ideas into functioning digital projects.
I’m particularly interested in AI-assisted software development, computer-use agents, and workflow automation. These tools create opportunities to build websites, develop applications, organize production tasks, and connect different parts of a creative or technical process without having to do every individual step manually.
My background in HTML, CSS, WordPress, UI design, motion graphics, and digital production gives me a useful foundation for working with these systems. I understand the importance of thoughtful design, clear requirements, testing, troubleshooting, and making sure the final result actually works.
What excites me most is the ability to move beyond simply asking AI for suggestions and start collaborating with it to accomplish something.
Of course, that doesn’t mean handing over the keys and hoping for the best. Good results still require direction, judgment, and plenty of checking along the way.
But having an AI assistant that can help build things instead of just talking about them? That’s a pretty interesting development. MCP is the way to be!