An n8n + Claude Haiku 4.5 agent that watches 9 subreddits, scores every post on a 3-axis rubric (intent, urgency, fit), and posts a top-5 daily digest to Slack — with the verbatim Claude prompt, the 9-sub shortlist, the cost math, and the week-2 finding that pruned it down to 4 subs for a +120% signal lift.
A 24-message winback matrix — 4 segments × 6 emails — for buyers who haven't purchased in 60-90+ days. Includes the Klaviyo segment conditions, the cadence, the Claude copy prompt, and the $48,200 case study.
A test-matrix methodology for cross-channel paid media — 5 channels × 4 audiences × 2-3 creative concepts, structured in a spreadsheet, with minimum spend math, Day 7 vs Day 14 kill rules, and a $90k B2B SaaS case study where a founder LinkedIn video beat every paid creative on cold prospect.
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 4-step workflow that turns a B2B SaaS sitemap into a hub map, pillar/spoke gap list, and an internal-link scoring matrix — using Claude's long context. The actual prompts, the actual JSON, the actual 60-day result.
Self-hosting a 70B model sounds reckless for a marketing team. For 90% of teams it is. But there are 4 specific jobs — bulk ticket classification, private competitive intel, overnight SEO meta-generation, PII-redacted list cleaning — where the math flips and a single A100 + Ollama pays for itself in 4-7 months. Hardware reality, Docker compose, real throughput, and the 4 prompts.
A production n8n workflow that pulls decaying posts from GSC (Google Search Console, 谷歌站长工具), drafts a refresh brief, has ChatGPT write the update, validates the new draft, and ships it to the CMS — all in one loop. The full node map, the three prompts, the four validation gates, and the three failure modes that have actually cost me a post.
Most teams look at a funnel chart, see a drop, and start guessing. This is the 7-step diagnostic I run whenever a funnel underperforms — built around GA4 Funnel Exploration plus a Claude prompt that does the cross-segmentation in minutes. By step 7 you'll have a testable hypothesis, not a vibe.
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.
A Nov-Dec-Jan deliverability playbook for the 2025-2026 winter window: the November 2025 Gmail enforcement shift to permanent 550 rejections, the three-provider authentication floor (Gmail + Yahoo + Outlook), the monthly cadence for hardening, surviving, and rebuilding, and the mistakes that quietly cost senders their lists.
A pre-flight editorial check on twelve client RSAs found that 43 of 60 submitted headlines had at least one red flag. Here is the five-bucket taxonomy of what Google's review actually catches, and why your Ad Strength is stuck at Average.
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.
