--- title: "#prompt articles | Hashnode" description: "Explore 217 articles tagged #prompt on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/prompt" --- Tag # #prompt 217 posts · 20 followers [Vrushika D](https://hashnode.com/@vrushika) · [Oct 29](https://hashnode.com/posts/prompt-injection-through-qr-linked-content-testing-the-security-of-ai-powered-applications/6ae3329f94e379ad7dd05e81) ### [Prompt Injection Through QR-Linked Content: Testing the Security of AI-Powered Applications](https://digitalqr.hashnode.dev/prompt-injection-through-qr-linked-content-testing-the-security-of-ai-powered-applications?utm_source=hashnode&utm_medium=feed) QR codes have made it easier than ever to access websites, documents and online services. A quick scan can take users to almost any kind of digital content. But what happens when an AI application rea 7 min read · [digitalqr.hashnode.dev](https://digitalqr.hashnode.dev/prompt-injection-through-qr-linked-content-testing-the-security-of-ai-powered-applications?utm_source=hashnode&utm_medium=feed) [Powerduck](https://hashnode.com/@powerduck) · [Oct 25](https://hashnode.com/posts/long-agent-session-anchored-wrong-assumption/6ade4a14de77788c63f76dec) ### [After three hours the agent defended the wrong model it invented, because the session remembered the assumption better than the facts](https://blogs.powerduck.com/long-agent-session-anchored-wrong-assumption?utm_source=hashnode&utm_medium=feed) Long chat history anchors on the first plausible model the agent invents, and late corrections read as exceptions instead of a rewrite. The session keeps defending the early guess. Keep a verified-facts brief at the top and re-derive from source files rather than trusting session memory. 4 min read · [blogs.powerduck.com](https://blogs.powerduck.com/long-agent-session-anchored-wrong-assumption?utm_source=hashnode&utm_medium=feed) [ccprompt](https://hashnode.com/@ccprompt) · [Sep 29](https://hashnode.com/posts/the-ai-art-prompt-formula-7-layers-that-make-your-images-look-professional/6abbf4f86c9b389412690b45) ### [The AI Art Prompt Formula: 7 Layers That Make Your Images Look Professional](https://ccprompt.hashnode.dev/the-ai-art-prompt-formula-7-layers-that-make-your-images-look-professional?utm_source=hashnode&utm_medium=feed) Stop generic AI art. Master the 7-layer prompt formula — subject, style, lighting, composition, color, texture — with 10 examples. 16 min read · [ccprompt.hashnode.dev](https://ccprompt.hashnode.dev/the-ai-art-prompt-formula-7-layers-that-make-your-images-look-professional?utm_source=hashnode&utm_medium=feed) [Shraddha bhat](https://hashnode.com/@shraddhabhat1909) · [Sep 26](https://hashnode.com/posts/co-star-a-deep-dive-into-the-prompt-framework-that-fixes-vague-ai-outputs/6ab76234d0b7440d6704a9b5) ### [CO-STAR: A Deep Dive Into the Prompt Framework That Fixes Vague AI Outputs](https://aiinsights1909.hashnode.dev/co-star-a-deep-dive-into-the-prompt-framework-that-fixes-vague-ai-outputs?utm_source=hashnode&utm_medium=feed) A practical breakdown of Context, Objective, Style, Tone, Audience, and Response — with worked examples, common mistakes, and how it compares to RISEN and CRAFT 10 min read · [aiinsights1909.hashnode.dev](https://aiinsights1909.hashnode.dev/co-star-a-deep-dive-into-the-prompt-framework-that-fixes-vague-ai-outputs?utm_source=hashnode&utm_medium=feed) [aiglelevant](https://hashnode.com/@aiglelevant) · [Sep 14](https://hashnode.com/posts/so-what-even-is-rag/6aa8354c425415d62be2cbfa) ### [So, What Even Is RAG?](https://aiglelevant.hashnode.dev/so-what-even-is-rag?utm_source=hashnode&utm_medium=feed) RAG sounds complicated as hell. It’s not. Here’s how LLMs find the right info, use it, and stop making shit up. 5 min read · [aiglelevant.hashnode.dev](https://aiglelevant.hashnode.dev/so-what-even-is-rag?utm_source=hashnode&utm_medium=feed) [Sunney Sood](https://hashnode.com/@sunnsood) · [Sep 11](https://hashnode.com/posts/how-large-language-models-actually-work-from-your-prompt-to-every-word-they-write/6aa45643c22712d0ba8b153e) ### [How Large Language Models Actually Work: From Your Prompt to Every Word They Write](https://sunneysood.hashnode.dev/how-large-language-models-actually-work-from-your-prompt-to-every-word-they-write?utm_source=hashnode&utm_medium=feed) A complete, plain-English mental model — from tokens to attention to the exact moment ChatGPT picks its next word. When you type a question into ChatGPT and an answer appears a few seconds later, it 26 min read · [sunneysood.hashnode.dev](https://sunneysood.hashnode.dev/how-large-language-models-actually-work-from-your-prompt-to-every-word-they-write?utm_source=hashnode&utm_medium=feed) [Christian Johannsen](https://hashnode.com/@cjohannsen) · [Sep 10](https://hashnode.com/posts/permissions-vs-policies-in-llm-systems-what-matters-where/6aa2d6ca02629ff0ef91bd19) ### [Permissions vs. Policies in LLM Systems: What Matters Where](https://breakglass.hashnode.dev/permissions-vs-policies-in-llm-systems-what-matters-where?utm_source=hashnode&utm_medium=feed) Permissions set what an LLM agent can do. Policies decide what it should do. Why system prompts aren't security controls, and where each belongs. 7 min read · [breakglass.hashnode.dev](https://breakglass.hashnode.dev/permissions-vs-policies-in-llm-systems-what-matters-where?utm_source=hashnode&utm_medium=feed) [Sundarapandy](https://hashnode.com/@sundarapandy) · [Sep 4](https://hashnode.com/posts/prompt-engineering-designing-effective-llm-prompts/6a9aa747f9dad01130db78d4) ### [Prompt Engineering: Designing Effective LLM Prompts](https://ai-tech-insights.hashnode.dev/prompt-engineering-designing-effective-llm-prompts?utm_source=hashnode&utm_medium=feed) Learn effective LLM prompt engineering with practical techniques for context, constraints, examples, output formats, security, and reliable AI systems 2 min read · [ai-tech-insights.hashnode.dev](https://ai-tech-insights.hashnode.dev/prompt-engineering-designing-effective-llm-prompts?utm_source=hashnode&utm_medium=feed) [8](https://hashnode.com/posts/prompt-engineering-designing-effective-llm-prompts/6a9aa747f9dad01130db78d4) [PRANAV THAWAIT](https://hashnode.com/@pranavthawait) · [Jul 23](https://hashnode.com/posts/compile-once-run-anywhere-supporting-multiple-llm-providers/6a61d33012afaa3cafb5702a) ### [Compile Once, Run Anywhere: Supporting Multiple LLM Providers](https://omnikon.hashnode.dev/compile-once-run-anywhere-supporting-multiple-llm-providers?utm_source=hashnode&utm_medium=feed) PromptForge: Type-Safe Prompt Engineering with TypeScript 4 min read · [omnikon.hashnode.dev](https://omnikon.hashnode.dev/compile-once-run-anywhere-supporting-multiple-llm-providers?utm_source=hashnode&utm_medium=feed) [PRANAV THAWAIT](https://hashnode.com/@pranavthawait) · [Jul 21](https://hashnode.com/posts/prompt-composition-reusing-prompts-like-components/6a5f4b1e74e374acc6c4489a) ### [Prompt Composition: Reusing Prompts Like Components](https://omnikon.hashnode.dev/prompt-composition-reusing-prompts-like-components?utm_source=hashnode&utm_medium=feed) PromptForge: Type-Safe Prompt Engineering with TypeScript 4 min read · [omnikon.hashnode.dev](https://omnikon.hashnode.dev/prompt-composition-reusing-prompts-like-components?utm_source=hashnode&utm_medium=feed)