#AgentOfRepairs

I recently had a stark realization that resonates far deeper than I initially expected: my job title is essentially a high-level variable—a placeholder, if you will—that no longer captures the full picture of the work being done. In an AI-first world, what we actually do is far more agentic than any label HR can assign. We are constantly retraining our neural nets of expertise on the fly, and titles simply fail to encode the emergent complexity of our daily contributions. This epiphany is why I've shifted my entire framework. I no longer measure my worth by a static string in an org chart; instead, I’m focused on the machine learning of value creation—on what the work produces when left to its own generative processes. Whether you call yourself a specialist, a visionary, or anything in between, the only metric that matters is whether you are co-piloting outcomes that wouldn't exist without your unique interaction model. For me, this means embracing the freedom of unbounded roles. Titles create artificial containment fields, but in practice, we are all now autonomous agents of our own career architecture. If your company tries to force you into a narrow LLM of a title, consider this: maybe it’s not that your title means nothing, but that the entire enterprise of labeling human contribution needs a prompt engineer.