Tips, tutorials, and insights on prompt engineering for ChatGPT, Claude, Gemini, and more.
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A practical prompt engineering playbook for n8n workflows-how to ask for nodes, validate JSON, and build automations that don't fall apart.
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MCP shifts prompting from "stuff instructions + data" to "declare intent, let schemas + tools carry the weight"-and it changes how you debug, secure, and scale agents.
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A practical playbook for getting reliable, fluent, culturally appropriate LLM output when you don't prompt in English.
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A practical prompting workflow to clone your email voice with examples, constraints, and an iteration loop that keeps outputs human.
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A practical way to turn your best Claude instructions into reusable building blocks using Projects, Skills, and a few opinionated workflows.
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Twelve once-popular prompt tricks that now backfire on modern models-plus what to do instead.
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A practical prompt system for solo builders to ship faster: landing pages, idea validation, and crisp copy-without hiring a team.
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A practical way to prompt terminal-based coding agents: write less, specify more, and structure work around plans, constraints, and tool-safe execution.
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40 grounded stats on real AI usage in 2026-what people do with prompts at work, how agentic coding shows up on GitHub, and where misuse creeps in.
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A practical Midjourney v7 prompt syntax built around character/style references, plus a mental model for prompts that remain stable while you iterate.
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A pragmatic set of prompt patterns for building reliable, testable, and secure AI agents-grounded in real production lessons and current research.
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A practical, evidence-based look at what "system prompts" really contain, why you can't reliably see them, and how to prompt around them.