The Letaido Blog
For marketers who want to use AI to automate their work, grow their business, and stay at the absolute bleeding edge of what AI can do.
Microsoft is building a Copilot super app, OpenAI cut GPT-5.6 prices, and Nvidia may backstop up to $250B of OpenAI infrastructure.
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Opus 5, Gemini updates, and a $5B AMD-Anthropic deal headline the product and money side. OpenAI’s sandbox escape raises the policy temperature.
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Google’s flagship model is delayed. Moonshot and Nvidia pushed new model plans. Anthropic, Databricks, and Reflection kept the money flowing.
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Prompt engineering shapes the input. Context engineering controls everything the model sees. Here's what the difference means for AI that actually works at scale.
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A system prompt sets the rules every AI response follows. Learn what one is, how it works, and how to write one that actually controls AI output.
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Prompt chaining splits complex AI tasks into focused steps so each output feeds the next. Learn how it works, when to use it, and how to build a chain.
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Zero-shot prompting means getting useful AI output with no examples. Learn how it works, when to use it, and how to write better zero-shot prompts.
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Few-shot prompting means showing AI a few examples before your real request. Here's how it works and how to use it in real marketing tasks.
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Learn what chain-of-thought prompting is, why it works, and how to write CoT prompts for real marketing and SEO tasks — with copy-paste templates.
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Prompt engineering isn't just for developers. Learn what it is, the techniques that matter, and get copy-paste templates for common marketing tasks.
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