# Writing Winning LinkedIn Content, Without AI — Kasey Brown & Michael (Social Media Examiner) ## 🗂️ Triage — annotated highlights surfaced > [!note]- Cross Reference > - **AI as sparring partner, not thought leader** — the same AI-as-editor discipline Kyle Balmer builds his pipeline around; reusable framing for any content workflow. #xref > - **Shares-to-impressions ratio** — a portable impact metric (not vanity views/likes) worth borrowing across platforms. #xref > - **Different beats better** — pattern-interrupt over polish; a differentiation-over-quality principle that generalizes past LinkedIn photos. #aphorisms ## 🧭 Bib capsule Kasey Brown & host Michael (Social Media Examiner), "Writing Winning LinkedIn Content, Without AI," 2026 — https://www.youtube.com/watch?v=rj3uH-dzLcg ## 🧠 Author's thesis (Adler Q1+Q2) Brown reframes LinkedIn growth as a three-stage attention funnel — Stop, Stay, Share — treating content strategy as applied psychology that corrects for a reader's default self-interest. In detail: win the scroll-stop with a pattern-interrupt photo and a first-two-lines hook that fires 2-3 of her "Five C's" (curiosity, contrast, contradiction, controversy, confusion); win the "See More" click with a third-line re-hook, varied sentence rhythm, and mobile-first editing at a 4th-7th-grade reading level; win the share by ending on a concrete, transferable takeaway. AI is deliberately confined to critique/editing, never drafting. Her evidentiary base is agency anecdote (a single selfie post reportedly out-drawing a professional photo 3,000 leads to 200) rather than controlled data, and the "you will win" and "income follows impact" claims are unfalsifiable as stated. ## 🧩 Key arguments - At least 90% of a post must serve what the reader gets, not what the creator wants to project — most creators fail by writing to sound smart. - AI belongs strictly in an editing/critique role (strip filler, grade the "stay" likelihood); using it to draft produces the uniform rhythm readers now flag as "AI wrote this." - Optimize for shares ÷ impressions, not views or likes — ~0.3% is solid, ~0.5%+ warrants reposting the identical post every 60-90 days. ## 🗒️ Notes — Literature atoms ### AI edits LinkedIn drafts, never writes them > [!quote] > I think of AI as like a sparring partner, a thought partner, not the thought leader. - **Where**: [00:31:03](https://www.youtube.com/watch?v=rj3uH-dzLcg&t=1863) - **Why**: Names AI's bounded role (filler removal, "stay" grading) and directly counters the "LinkedIn is AI slop" charge — reusable framing for AI-assisted content. ### Vertical pattern-interrupt photos beat polished headshots > [!quote] > We don't have to be better, we have to be different. - **Where**: [00:14:56](https://www.youtube.com/watch?v=rj3uH-dzLcg&t=896) - **Why**: Anchors the candid-selfie / vertical-orientation tactic in a broader differentiation-over-quality principle that applies well beyond photos. ### Shares-to-impressions ratio measures content impact > [!quote] > if somebody's reposting my work or sharing even an Instagram video with somebody, something in that piece of content must have been impactful, right, in some way. - **Where**: [00:40:39](https://www.youtube.com/watch?v=rj3uH-dzLcg&t=2439) - **Why**: Defines the core measurement heuristic (0.3% solid, 0.5%+ triggers a repost) — a portable performance metric for any platform. ## 🔖 Permanent candidates - AI as editor, not author, preserves a writer's voice signal — Reserving AI strictly for critique and trimming (never first-draft generation) is what keeps prose from acquiring the rhythmic tells readers now pattern-match as "AI wrote this"; holds where audiences actively scan for AI content and voice is part of the value. ## Links - [[DevRel MOC]] — home MOC; the Stop-Stay-Share structure and the shares/impressions metric are directly reusable for devrel/marketing posts promoting talks, docs, and releases. - [[AI & the Future of Knowledge Work MOC]] — the "AI as bounded editor" stance is a knowledge-work discipline question, not just a marketing tactic. - [[Building Your Brand in the Developer Community]] — extends the same personal-brand-building thread with a developer-community lens. - [[Shared AI Tools Homogenize Output While Feeling Original to Each User]] — evidence-for: keeping AI out of first-draft authorship protects the voice differences shared drafting tools tend to flatten. ## ✅ Processing checklist - [x] Claim atoms carried from deep-read analysis - [ ] Permanent candidates reviewed for promotion - [ ] Version History Diff check