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Introduction: Why Your Old Marketing Metrics Are Already Obsolete Your CMO is still obsessing over click-through rates and impressions. Meanwhile, your customers are asking ChatGPT which product to buy. This isn’t hyperbole.
You’ve probably had this experience: you ask AI to write something, and it’s… fine. Generic. Bland. Not quite what you had in mind. So you try again with a slightly different prompt. Same problem. You tweak the wording a third time.
Anthropic documents context rot, sentence-level citations and a quote-first pattern, and publishes no error rate. Four reasons long documents go wrong and six documented controls.
Ten fixes drawn from Google's own Gemini documentation - five in the Gemini app, five in the API - plus the three problems no setting or prompt can fix.
How to use Claude for email marketing end to end: brief, copy, HTML build, dark-mode and Outlook checks, then ESP import. The Claude-only workflow, one campaign at a time.
Learn how to use ChatGPT to write an email step by step: basic prompts, brand voice rules, and a reusable project setup that keeps every draft on-brand.
Why AI landing pages all look the same, and four ways to break out of the slop: design systems, skills, illustrations, and visual attachments.
17 ChatGPT email prompts: one system prompt, 8 campaign prompts, 6 refinement prompts, plus an audit prompt. Generate emails that don't break in Outlook.
Stop AI-generated email HTML breaking in Outlook. 8 rules — table layout, inline CSS, VML buttons, dark mode — to encode in your prompt before you send.
The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself.
Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights.
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