This post was written by a human: The evolving significance of AI use disclosure.

“This post was written by a human.”

Admittedly, typing the line inspires a mildly bewildered smile. Prior to recent advancements in artificial intelligence, it’s a statement I’d not considered making outside the routine click or tap of a CAPTCHA checkbox verifying, “I am not a robot.”

In a world where AI is rapidly replacing a subset of human efforts, claims to humanity take on new meaning. Markers of human ingenuity become particularly valuable, signifying invested energy and time—a commitment to accountability and purpose.

In creative work, specifically, claiming one’s humanity today can act as a sort of “I was here” insignia, speaking to our innate desire to express and be seen.

Redefining the value of presence.

Even as a shamelessly bullish technology enthusiast, I maintain a belief in the unique value of ideas put to words, for people, by people. There is immeasurable beauty in our capacity for presence through the creation and presentation of art in every form.

Now, more than ever, we stand to benefit from remembering these perspectives are not mutually exclusive; we need not choose between a pro-AI stance and one honoring the import of human-executed content.

We can choose to apply AI when and where it makes sense, and leave the rest to hype.

The limitations of AI.

Today’s generative AI tools can be constructive collaborators, reducing the time required to move from blank slate to v1. But the in-draft state of the content returned by these tools cannot be understated—models can and will hallucinate, reproducing errors present in training data, and even constructing unforeseen flaws by way of incorrect model assumptions. 

At a more evocative level, AI outputs often fail to capture the sense of personality embodied in human-crafted content.

Maybe, that’s okay, even welcome.

In this construct, AI offers us an opportunity to re-estimate the worth of our most precious human resources—our energy and time. When we’re intentional and transparent about the use of AI, we don’t need to ensure outputs are error-free or fully traverse the uncanny valley to realize value in generative offerings.

Realizing value, setting standards.

As a collective of people working toward a shared purpose, we’re committed to AI use disclosure. We believe it’s important to delineate between what is human or machine made, and hold a standard for work we will and will not support with generative AI.

On the Syncretic platform, LLMs can be used to create new Forms with preferred fields and layouts, fill Forms drawing from documents or existing Forms, and generate draft Workflows working from data captured in our onboarding process. The input and guidance of Syncretic users is still essential, and they’re empowered to filter and apply attention in ways that facilitate focus.

In our day-to-day work as a team, we employ LLM-driven tools to take on efforts that don’t require the presentation of perspective—for example, analyzing development reports and legal documents for key concepts or phrases. In these use cases, AI functionally reduces our need to parse a mess of data, so we can focus on work that stands to benefit from human presence.

Parsing data versus sharing perspectives.

It’s why this post was written by a human. Ultimately, the content we publish is a bid for your attention, community, and connection. When you’re willing to share these personal resources with our team, you deserve to be met in kind with deliberately crafted multimedia that reflects the people and personalities behind our company.

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Syncretic • \sin-KRET-ik\ • mixing different cultures, philosophies, or ideas—into something new.

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