We Write LinkedIn Content With AI. Here Is Why It Doesn't Sound Like It.

We write LinkedIn content with AI. We say so openly, because the interesting question was never whether AI wrote something. The interesting question is why most AI writing sounds like a press release and ours does not.

The answer is not a secret prompt. There is no magic sentence you can type into a model that makes it write like a person. The answer is a system: five specific things, each one unglamorous on its own, that together produce writing a real professional is glad to put their name on.

Here they are.

1. We ban words in code. A fixed list of LinkedIn buzzwords that are always cringe gets checked mechanically on every piece before it can ship. Not a person skimming for vibes. Software that never gets tired.
2. We learn who you actually are, and we keep learning. It starts with your intake answers and real writing samples, goes deeper with a written interview about your story, the moments and specifics only you know, and stays current because you can email us ideas and recent wins any time. Voice is not captured once. It is tuned continuously.
3. You grade every post, and your grades train the next batch. Every post we send carries a 1 to 5 rating. Those ratings feed straight back into how we write the following week. You are the final critic, and the system learns your taste.
4. We built a real LinkedIn knowledge base. Specific, current guidance on what actually works here, formats, structure, cadence, how the feed rewards things, is built into every draft. The writing is native to LinkedIn, not generic web copy dropped onto the platform.
5. Several independent AI models check each other. One model drafts. A different model, from a different company, reviews it. A third votes. Different models catch different problems, so no single model's blind spots reach you.

Each of these deserves its own post, and each will get one. Today, the first: the banned words.

The list

Every piece we produce passes a mechanical check against a closed, fixed list before it can ship. If a banned term survives drafting and review, the piece is blocked or repaired. It is never sent as written.

The banned words: "leverage," "game-changer," "seamless," "cutting-edge," "innovative," "transformative," "synergy," "unlock," "empower," "thought leader," "delve," "tapestry," "harness," "elevate," "paradigm," "revolutionize," "seasoned," "impactful," "savvy," "rockstar," "ninja," "guru."

The banned phrases: "passionate about," "results-driven," "proven track record," "proven leader," "proven expert," "deep expertise," "a testament to."

What we refused to ban

The hard part of building this list was not what went on it. It was what we left off.

We refused to ban "proven." We refused to ban "expertise," "expert," "journey," "dynamic," and "landscape." Those are ordinary English words. Ban "expertise" and the writing gets worse, not better, because the writer starts contorting sentences to avoid normal language. The tell was never the word. The tell is a word doing no work.

So the discipline is a short list. Ban only what is always cringe. Keep everything else. A long list is easy. A short list takes editorial judgment.

The check knows a buzzword from a name

Some banned words are also real company names. Someone who works at Empower Retirement keeps their employer's name. A firm called Paradigm stays Paradigm. A company named Harness stays Harness. The check is smart enough to tell the difference: the word used as a name survives, and the same word used as fluffy description gets cut.

When one slips through anyway

Models miss things. Reviewers miss things. So when a single banned word survives review, the system rewrites just that phrase into plain language, then checks the entire piece again. Only if something still survives does a human get asked to look. The common case fixes itself. The rare case gets eyes.

One thing you can do today

You do not need our system to run the cheapest version of this check. Open your last three posts. Search them for "leverage," "passionate about," and "thought leader." Replace each hit with what you actually meant, in words you would say across a table. Then stop. Leave "expertise" alone. Leave "proven" alone. Cutting the worst offenders makes writing sound human. Cutting ordinary words makes it sound frightened.

That is one of five. Next up: how we learn your voice, and why we never stop.