{"id":131,"date":"2025-08-20T06:14:37","date_gmt":"2025-08-20T06:14:37","guid":{"rendered":"https:\/\/hattussa.com\/blog\/?p=131"},"modified":"2025-12-16T13:28:51","modified_gmt":"2025-12-16T13:28:51","slug":"cod-prompting-techniques","status":"publish","type":"post","link":"https:\/\/hattussa.com\/blog\/cod-prompting-techniques\/","title":{"rendered":"CoD: Prompting Techniques"},"content":{"rendered":"

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Table of contents<\/div>\n
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  • \ud83d\udc51 Chain of Draft (CoD): The New King of Prompting Techniques<\/li>\n
  • \ud83e\udde0 What Is Chain of Draft (CoD)?<\/li>\n
  • \ud83d\ude80 How It Works<\/li>\n
  • \ud83d\udca1 Why CoD Beats Traditional Prompting<\/li>\n
  • \ud83c\udd9a CoD vs CoT vs ReAct<\/li>\n<\/ul><\/div>\n

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    \ud83d\udc51 Chain of Draft (CoD): The New King of Prompting Techniques<\/h1>\n

    As prompt engineering continues to evolve, a new paradigm is emerging that could outshine familiar strategies like Chain-of-Thought (CoT) and ReAct. Introducing Chain of Draft (CoD)<\/strong> \u2014 a multi-step prompting technique that turns large language models into more deliberate, thoughtful writers.<\/p>\n

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    \ud83e\udde0 What Is Chain of Draft (CoD)?<\/h2>\n

    Chain of Draft is a prompting method where the AI model is instructed to generate multiple drafts<\/strong> of a response, reflect on them<\/strong>, and then produce a refined, high-quality final answer.<\/p>\n

    Rather than immediately jumping to the final output, CoD encourages the model to simulate a thoughtful writing process<\/em> \u2014 just like how humans draft, review, and revise content.<\/p>\n<\/section>\n

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    \ud83d\ude80 How It Works<\/h2>\n
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    1. Generate Drafts:<\/strong> The model creates 2\u20133 different responses to a single prompt.<\/li>\n
    2. Critique\/Reflect:<\/strong> The model compares the drafts and evaluates their strengths and weaknesses.<\/li>\n
    3. Compose Final:<\/strong> Based on reflection, it composes an optimized final answer.<\/li>\n<\/ol>\n<\/section>\n
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      \ud83d\udca1 Why CoD Beats Traditional Prompting<\/h2>\n
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      • Reduces hallucination<\/strong> by forcing critical thinking and comparison.<\/li>\n
      • Boosts creativity<\/strong> \u2014 multiple drafts means more angles and expressions.<\/li>\n
      • Improves factual accuracy<\/strong> through self-evaluation.<\/li>\n
      • Encourages reasoning<\/strong> without requiring task-specific chains.<\/li>\n<\/ul>\n<\/section>\n
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        \ud83c\udd9a CoD vs CoT vs ReAct<\/h2>\n\n\n\n\n\n\n\n
        Technique<\/th>\nFocus<\/th>\nStrength<\/th>\nLimitation<\/th>\n<\/tr>\n<\/thead>\n
        Chain of Thought (CoT)<\/td>\nStep-by-step reasoning<\/td>\nGood for logic\/math<\/td>\nMay miss nuance or creativity<\/td>\n<\/tr>\n
        ReAct<\/td>\nReasoning + action (e.g., tools)<\/td>\nInteracts with environments<\/td>\nComplex, needs plugins<\/td>\n<\/tr>\n
        Chain of Draft (CoD)<\/strong><\/td>\nDrafting & self-reflection<\/td>\nVersatile, thoughtful output<\/strong><\/td>\nLonger inference time<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section><\/div>\n


        \n \n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"\n

        As prompt engineering continues to evolve, a new paradigm is emerging that could outshine familiar strategies like Chain-of-Thought (CoT) and ReAct. Introducing Chain of Draft (CoD)<\/strong> \u2014 a multi-step prompting technique that turns large language models into more deliberate, thoughtful writers.<\/p \n\n","protected":false},"author":1,"featured_media":132,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/posts\/131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/comments?post=131"}],"version-history":[{"count":4,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/posts\/131\/revisions"}],"predecessor-version":[{"id":328,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/posts\/131\/revisions\/328"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/media\/132"}],"wp:attachment":[{"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/media?parent=131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/categories?post=131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hattussa.com\/blog\/wp-json\/wp\/v2\/tags?post=131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}