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.
A real-world, repeatable 4-stage diagnostic that uses Claude to triage post-update traffic drops — intent match, E-E-A-T gaps, content quality vs. the SERP, and internal linking. Includes the prioritization matrix, the actual prompt, and a worked example from a December 2025 hit.
Train a Custom GPT on your brand guidelines doc, paste any draft, and get a line-by-line compliance score with violations flagged before anything ships. The 30-minute build.
A working pipeline for dubbing paid-media video ads into 29 languages with ElevenLabs' Dubbing API — voice cloning, translation QA, and the lip-sync trap I learned the hard way.
Stand up an Airtable base fed by GA4, ad spend, email and CRM, a Claude prompt that answers natural-language questions about it, and a Slack slash command so any teammate can ask 'what's our blended CAC by channel this month' and get a chart back. Full hour-by-hour build, with the prompt, the schema, and the four gotchas that will eat your weekend if you skip them.
A battle-tested 5-email cart abandonment sequence with exact send times, subject lines, body copy, and the AI prompts that generated them — plus what to fix by hand.
Wire a Slack slash command to an n8n workflow that fans out to Perplexity for cited research, hands the result to Claude for a 3-paragraph rewrite, and posts it back into the same channel — full JSON, prompts, and the dispatch_failed trap included.
A 6-step workflow that uses Apify to scrape 50 competitor product pages into a Google Sheet, has Claude flag any price change above 5%, and posts a Slack alert with the diff. 90-minute setup, ~$0.10 per daily run.
How a single 5-minute source video becomes 50–80 ad variants per week — the HeyGen pipeline I ran with three clients in 2025, the numbers, the disclosure rules, and where it falls short.
A copy-paste AI prompt that turns 90 days of Klaviyo events into 25 high-conversion micro-segments — grouped by lifecycle, behavior, predictive signals, channel, and strategic niche. With the actual segment definitions you can paste into Klaviyo today.
One morning, five dashboards requested, zero patience. I wrote 10 base SQL queries against the GA4 BigQuery export, fed them to Claude with a Looker Studio schema, and shipped 10 working dashboards before close of day. Here are the SQL, the prompt, and the traps I hit.
