--- title: Prompt Engineering Tutorial - Master LLM Responses description: A comprehensive walkthrough of prompt engineering techniques for getting better results from LLMs. Covers the fundamentals of how LLMs work as text prediction... canonical: https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Prompt Engineering Tutorial - Master LLM Responses | daily.dev og:description: A comprehensive walkthrough of prompt engineering techniques for getting better results from LLMs. Covers the fundamentals of how LLMs work as text prediction... og:url: https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh og:image: https://api.daily.dev/og/posts/B9gp93VjH.png og:image:alt: Prompt Engineering Tutorial - Master LLM Responses og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Prompt Engineering Tutorial - Master LLM Responses **[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 37 min read · 2 upvotes · 0 comments ## Summary A comprehensive walkthrough of prompt engineering techniques for getting better results from LLMs. Covers the fundamentals of how LLMs work as text prediction models, then walks through practical techniques including role/audience/tone/format specification, few-shot prompting, chain-of-thought reasoning, structured JSON output, constraints and negative instructions, iterative refinement, and interview-style prompting. Advanced topics include system vs user prompts, prompt chaining, self-evaluation, and temperature parameters. Practical examples are demonstrated live in ChatGPT throughout. Also promotes using voice dictation (Whisper Flow) to write faster, more detailed prompts. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#chatgpt](https://daily.dev/tags/chatgpt), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering) [View this post on daily.dev](https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Prompt Engineering Tutorial - Master LLM Responses","url":"https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh"},"datePublished":"2026-03-11T15:08:38.851Z","dateModified":"2026-03-15T03:40:27.459Z","description":"A comprehensive walkthrough of prompt engineering techniques for getting better results from LLMs. Covers the fundamentals of how LLMs work as text prediction...","image":"https://i.ytimg.com/vi/2BpCk4d2Cc0/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/2BpCk4d2Cc0/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Tech With Tim","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Tech With Tim","logo":"https://media.daily.dev/image/upload/s--6vVIDfU0--/f_auto/v1711726146/logos/TechWithTim","url":"https://daily.dev/sources/TechWithTim"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/prompt-engineering-tutorial---master-llm-responses-b9gp93vjh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,chatgpt,llm,prompt-engineering","timeRequired":"PT37M","video":{"@type":"VideoObject","name":"Prompt Engineering Tutorial - Master LLM Responses","description":"A comprehensive walkthrough of prompt engineering techniques for getting better results from LLMs. Covers the fundamentals of how LLMs work as text prediction...","thumbnailUrl":"https://i.ytimg.com/vi/2BpCk4d2Cc0/sddefault.jpg","uploadDate":"2026-03-11T15:08:38.851Z","duration":"PT37M","url":"https://api.daily.dev/r/B9gp93VjH","embedUrl":"https://www.youtube.com/embed/2BpCk4d2Cc0"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tech With Tim","item":"https://daily.dev/sources/TechWithTim"},{"@type":"ListItem","position":3,"name":"Prompt Engineering Tutorial - Master LLM Responses"}]} ```