For the past few years, the narrative around AI has been dominated by the "Black Box"—massive, monolithic models that live in the cloud, gatekept by APIs, and disconnected from our actual workflows.

But as someone building at the intersection of history and engineering, I see a shift happening. We are moving away from the monolith and toward Modularity .

The Shift to Agentic Architecture

The real breakthrough isn’t just a "smarter" LLM; it’s the ability to wrap that intelligence in a framework that can act. Using** p-agent** as an orchestrator allows us to treat the LLM as just one component of a larger machine.

When you pair this with the Model Context Protocol (MCP) , you solve the biggest hurdle in AI: Context .…