The Key to Remarkable AI Output: It’s Your Input, Not the Model, Says Justin Oberman

In a recent LinkedIn post, Justin Oberman discusses a fundamental misconception many have about leveraging Artificial Intelligence for writing: the belief that more advanced AI models automatically yield superior results. Oberman, a long-time user of AI writing tools since 2018, argues that the sophistication of the AI model itself is secondary to the quality of the input provided by the user.

Oberman challenges the notion that newer, more complex AI models like Claude 5.1 inherently produce better writing than older, more primitive ones. He states:

“Better AI models don’t produce better writing. I know this because I’ve been using AI writing tools since Jarvis launched in 2018. And the dirty truth I’ve learned is you can get the same results out of a primitive AI model that you can get out of Claude 5.1.”

The core of Oberman’s argument is that the true differentiator in AI-assisted writing lies not in the technology, but in the human intellect guiding it. He points out that most individuals approach AI tools with a desire to increase speed, often by feeding the AI half-formed ideas and expecting it to complete the task effectively. This, according to Oberman, leads to generic or uninspired output.

The Deeper Input Required for Remarkable Output

Oberman contrasts this common approach with that of individuals who achieve exceptional results using AI. He observes that these users are not focused on accelerating their workflow but on deepening their engagement with the subject matter *before* interacting with the AI.

According to Justin Oberman, the individuals producing remarkable work with AI are investing time in:

• Forming well-considered opinions.
• Earning diverse perspectives.
• Developing specific points of view.

This pre-AI preparation, Oberman explains, is what imbues the final output with the user’s unique voice and intellect.

“They’re going deeper, particularly before they start. They are forming opinions, earning perspectives, developing specific points of view, and putting that into the model when they use it. And that’s why what comes out the other side looks like theirs.”

This emphasis on human input elevates the AI from a mere writing assistant to a tool that amplifies thoughtful human contribution. As Oberman puts it:

“So when you think about it, AI didn’t raise the bar for output. It raised the bar for input.”

A Framework for Enhancing AI Input

To address this challenge, Oberman has developed a framework for his clients, inspired by a journalistic technique. He calls this the “prior interview,” a method where individuals interview themselves before engaging with any external source or, in this context, the AI model.

While this self-interrogation process takes approximately seven minutes, Oberman stresses its significant value. He believes it is the most effective way to ensure that AI-assisted work retains the author’s distinct voice and perspective.

Oberman’s insights serve as a crucial reminder that while AI technology continues to advance, the quality of human thought and preparation remains the paramount factor in producing truly exceptional and original content.