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.
Generate 100 paid-social ad variants per hour on a local M-series Mac via Ollama + Llama 3.3 70B, then run a second pass that scores each variant 0-100 on hook, value clarity, and CTA specificity. The full prompt pair, the Python wrapper, and the math that makes $0 marginal cost win over GPT-4o at any team size.
A production pipeline that takes a 'demo request' email, qualifies it against an ICP rubric, enriches from LinkedIn, books a Cal.com slot in the prospect's timezone, and sends a personalized prep doc 24h before the call — all before a human touches the lead. The full Make scenario, the actual Operator instruction set, the ICP rubric, the prep doc prompt, and the three failure modes that have actually cost me time. ⚠️ Operator UI may shift; the framework stays.
Most marketing teams learn their CAC doubled on Tuesday by reading the Monday dashboard next week. The 90-day pipeline that catches it within hours: GA4 + Meta + Google Ads into a Sheet, nightly Gemini call with a 14-day baseline and a name-the-cause prompt, red/yellow severity to Slack. Includes the actual prompt, the n8n JSON, and a real Tuesday alert.
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.
Most lead scoring projects die in week three. The 30-minute version that actually ships: 5 dimensions, a one-paragraph rubric, and one =AI() formula in Google Sheets powered by Gemini. Sales filters by green, you re-score weekly.
A time-blocked 6-hour workflow that builds 75 fully-formed Meta ads in a single day — 3 hooks, 5 visuals, 5 CTAs — uploads them as one Advantage+ campaign, and lets Meta's algorithm kill 60-65 of them in 72 hours so you can read the winners in one week instead of one quarter.
Hundreds of sites already mention your brand by name. Almost none of them link to you. I pull 200 unlinked mentions a week from Ahrefs Content Explorer, let Claude triage + draft a personalized 3-sentence email for each, and ship 40 new backlinks a month without writing a single new piece of content.
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 6-week, 8,400-email field test of running a privacy-respecting local-LLM email triage layer on Apple Silicon — Apple Mail → AppleScript → Ollama-served Mistral 7B or Llama 3.1 8B — with a 4-bucket rubric, real hardware benchmarks, and a 92% accuracy figure you can reproduce.
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.
