I was nodding along the entire time I read this incredible post from a talented LinkedIn creator. We have all experienced the exact same frustration. You sit down to draft an email or a post, and you spend ten minutes loading up a prompt with a massive list of strict restrictions. You tell the AI to avoid corporate buzzwords. You tell it not to sound robotic. You explicitly ban certain cliché phrases. And yet, after all that effort, the output still sounds completely artificial.
The original poster pointed out exactly why this happens, and it completely shifted how I view AI writing! Most people treat their prompts like a strict terms and conditions document. They provide a massive list of what the model should not do, but they offer absolutely no examples, no distinct voice, and no baseline reference point.
The problem with negative constraints
This industry pro explained that rules only tell a language model what to avoid. They do not show the system what it should actually do. If you just give an AI thirty negative constraints, you are going to get generic, safe, and incredibly boring text. The model gets paralyzed by the restrictions. The creator of this method shared a dramatic shift in their team’s workflow after watching this scenario play out constantly.
Instead of writing endless negative rules, this savvy professional started giving the AI a reference file. Large language models operate much more effectively when they have concrete, positive examples to analyze. By feeding the system actual writing that you are proud of, the model reads the text and organically picks up your sentence rhythm, your specific vocabulary, and how you naturally open and close your thoughts.
The reference file process
Let us look at the exact build this post’s author shared for creating a reference document that actually works. This process replaces lengthy restriction lists with a simple, repeatable framework.
- Curate your top ten to fifteen writing samples. Gather real social media posts, actual emails, and successful conversation threads that you are genuinely proud of. The rationale here is that the AI needs high-quality data to accurately mimic your specific style. By providing a diverse set of your absolute best work, you give the model a rich, varied dataset of your structural habits. Do not include boring corporate memos if you want a punchy, conversational output.
- Compile everything into a single master document. Take all those individual pieces of writing and paste them into one clean text file or document. Keeping everything in one centralized place makes it incredibly easy to upload to your AI tool of choice. You will not have to hunt down multiple files or copy and paste from a dozen different tabs every time you start a new chat session.
- Annotate each sample with a one-line note. Above each piece of writing in your master document, add a quick label explaining exactly why it worked well. For example, you might write, “High engagement, conversational tone,” or “Short sentences, strong opening.” This gives the AI crucial context. It helps the model understand not just how you write, but the specific intent, audience, and mechanics behind your most successful pieces of content.
- Define your voice in plain language at the top. Add a short section right at the beginning of the document describing your personal writing style. Keep this brief, using five or six sentences maximum. A concise, explicit description acts as a guiding anchor for the AI. It perfectly combines your stated stylistic preferences with the practical, real-world examples that follow directly below it.
- Upload and issue the golden instruction. Every time you start a new writing session, upload this master file. Tell the model to study it carefully before writing anything, and specifically ask it to ask clarifying questions before it starts. Then, use this exact line shared by the original poster: “Apply everything you learn as a writing rulebook.” Asking the AI to study the file and ask questions forces it to analyze the data deeply before generating any text. The specific prompt solidifies your reference document as the absolute standard for that entire chat session.
The shift here is about moving entirely from restriction to inspiration. Before this method, you might spend ten minutes writing restrictions into every single prompt and still end up getting generic, unusable output. After adopting this creator’s system, it takes thirty seconds to upload one file, and your very first draft actually sounds like you.
I am definitely adopting this reference file method for my own daily workflow. It makes so much logical sense to train the AI on positive examples rather than constantly boxing it in with negative constraints. Make sure to check out the original LinkedIn post for the full breakdown and to see more of this talented creator’s brilliant insights on working smarter.