A production 3-model content pipeline where each AI does only what it is actually best at: ChatGPT drafts, Claude reviews, GPT-Image generates visuals. The actual hand-off prompts, the JSON contract between stages, the $0.41 / 18-minute cost and timing comparison vs single-model, and the model-identity-confusion failure mode that cost me a published post.
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.
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.
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.
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 real client case where DALL·E 3 composites replaced a planned lifestyle photoshoot, the prompt pattern that makes product-lifestyle scenes look believable, and the four situations where the studio still wins.
A hands-on breakdown of using Runway Gen-3 Alpha for flash-sale video ads under 48-hour deadlines — the four generation patterns that actually deliver, the five failure modes I keep hitting, and the production workflow that got 9 usable clips in 6 hours for $137.
A practitioner's playbook for turning a product spec into ready-to-run Sora video ads — the 6-line brief, the 3-shot story, the prompt skeleton, and the physics rules you can't break.
A practical 7-step workflow for using Midjourney to build a 10-slide Instagram carousel that reads as one brand — reference image set, fixed prompt prefix, variable suffix, type system, grid, and the quality gate.
AI outputs all sound the same by default. A proper AI style guide — with voice dimensions, do/don't examples, and custom instructions — is how you make ChatGPT, Claude, and Gemini actually sound like you. Here's the exact 5-part template and workflow I use with every client.
A practitioner's reference to the twelve question types that cover 95% of survey needs — when to use each, common traps, a comparison table, and one AI prompt that turns a bad question into three better ones.
