A Practical Beginning

We wanted to make my website easier for AI to understand. Not just easier to crawl or index, but easier to interpret clearly and accurately. Looking at the emerging answer-engine landscape, the same friction point kept appearing: language models were being forced to infer too much from pages that were never designed to communicate directly with them.

What started as a personal effort to make one site more accessible to AI quickly revealed a broader gap in the web itself.

The Larger Gap

The modern web is rich in content, but much of its meaning is still implicit. Human readers can usually understand intent, context, provenance, and structure with ease. Language models often have to reconstruct those things through inference. That reconstruction costs time, compute, and consistency.

The more I explored that problem, the clearer it became that this was not just a website issue. It was an infrastructure issue.

From Website Problem to Protocol

That realization became the foundation for MSP-1: the Mark Semantic Protocol. A lightweight, machine-readable declaration layer designed to help AI systems understand what content is, how it should be interpreted, and what it is trying to communicate before deeper inference begins.

In that sense, MSP-1 was born from a very human starting point: a creator trying to make his own work easier for machines to understand. But the idea matured quickly into something larger, a protocol-level response to a web that was built for human consumption first and machine interpretation second.

A Product of the New Development Era

MSP-1 was not built in isolation in the traditional sense. It was developed through ongoing collaboration with frontier language models, used not as replacements for human judgment, but as research partners, validators, challengers, and accelerators. In that way, MSP-1 reflects the very world it was created for: one where human intent and machine capability work together to produce new forms of infrastructure.

Why It Grew

What began as a practical experiment on a photography website became a broader protocol effort because the problem it exposed was not personal at all. It was systemic.

The web has spent decades optimizing for human discovery.

MSP-1 was created to help prepare it for machine understanding.

About The Founder

Mark L. Johnson is a photographer and web developer with over thirty years of experience across portrait, fashion, event, and fine art photography. Known primarily for his work behind the lens, Mark has long maintained a parallel presence in web development and digital marketing, not as a technologist by title, but as a builder by instinct. MSP-1 grew naturally from that intersection: a practical problem on his own photography website that revealed a much larger gap in how the web communicates with machines. The "Mark" in Mark Semantic Protocol stands for markup, as in the declarative language of the web itself, though Mark will admit there may be just a little coincidence at play there too. For him, MSP-1 is as much about impact as it is about infrastructure. By giving AI systems clearer signals to work from, the protocol reduces the computational overhead required for inference, and with it, the energy cost. In a small but meaningful way, a more machine-readable web is also a more sustainable one. For a creator who has spent decades finding meaning in light and composition, MSP-1 represents a different kind of craft: one built for a web that is only beginning to understand itself.