A 0-100 pre-publish scorecard that scores any post on E-E-A-T, Depth, Freshness, and Structure (25 each), with a single Claude prompt that does all four in one pass plus a remediation list. The 75/100 + no-dimension-below-16 publish gate, the batch-of-10 audit workflow, and the hard reason a rubric beats vibes-based editing when you have 200+ posts and staff turnover.
Most LinkedIn polls are engagement bait — votes roll in, authority stays at zero. The fix: 20 polls across 4 categories that surface buyer signals, validate positioning, and feed next month's content. Pricing anchors, stack discovery, painpoint priority, belief tests — plus the Claude prompt and the 2-week rule I never break.
The 'X vs Y' format everyone uses is broken — both tools get 4.5/5, the writer hedges every claim, nobody trusts it, nobody clicks. Here's the five-section opinionated format that converted at 6.4x the rate of a balanced version, with the weighting table and the confession section that earn it.
A single-subreddit Claude agent that reads EVERY new post in r/YourNiche, scores it on a DM-worthiness rubric (intent weighted 2x, threshold 24), and emails 1-3 a day worth a personal DM — with the rubric, the workflow, the etiquette rules that keep your account from being shadowbanned, and a case study: an SEO consultant ran this 90 days, sent 180 DMs at a 38% reply rate, closed 6 engagements at $4k-$12k for $46k of pipeline on a $14/month stack.
Hand 100 viral posts to NotebookLM, get a niche-specific hook taxonomy back. The 10% frequency floor rule, the exact grounding prompt, and the 8 patterns extracted from a real B2B AI tooling corpus.
A 1-hour batch workflow to ship a 3-bullet TL;DR box to 50 old posts using sitemap scraping, a strict Claude rubric, and a JSON paste-in. The highest-leverage content refresh you can ship this week.
Most 'translated' content fails in China not because of vocabulary — it fails because the examples don't translate. A 4-step EN-to-zh pipeline that turns an English pillar post into a zh version that reads like it was written there, with the actual prompt, a swaps table, and a before/after.
A three-stage pipeline — Claude writes a 30-row CSV, Canva Bulk Create pours it into one template, a PDF-capable scheduler queues a month of carousels in under 90 minutes.
Stop proofreading your own drafts in silence. Paste your draft into NotebookLM, generate an Audio Overview, and let two AI hosts read it back. You'll hear the awkward transitions, the parts that explain too much, and the claims that don't land — things your eyes always skip. A 6-minute, free self-editing loop that catches what re-reading misses.
A 4-signal audit, a 50-page triage, and one Claude formula dragged down a Google Sheet — the boring spreadsheet work produced a 38% revenue lift, not the AI.
12 binary rules — headline clarity, intro hook, source citation, claim substantiation, length fit, internal links, and more — Claude scores any draft 0-100 with a per-rule breakdown. Ship only above 75. The exact prompt, the threshold logic, and the honest caveat.
I cut my own LinkedIn posting schedule to once a week and filled the other four slots with substantive comments on other people's posts — profile views up 47% in a month, two DMs into booked calls. The full Perplexity-research / ChatGPT-draft / human-edit loop, the contrarian-first prompt, the Friday tracking ritual, and the rules that keep it from going spammy.
