👑 Chain of Draft (CoD): The New King of Prompting Techniques

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) — a multi-step prompting technique that turns large language models into more deliberate, thoughtful writers.

🧠 What Is Chain of Draft (CoD)?

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

Rather than immediately jumping to the final output, CoD encourages the model to simulate a thoughtful writing process — just like how humans draft, review, and revise content.

🚀 How It Works

1. Generate Drafts: The model creates 2–3 different responses to a single prompt.
2. Critique/Reflect: The model compares the drafts and evaluates their strengths and weaknesses.
3. Compose Final: Based on reflection, it composes an optimized final answer.

💡 Why CoD Beats Traditional Prompting

• Reduces hallucination by forcing critical thinking and comparison.
• Boosts creativity — multiple drafts means more angles and expressions.
• Improves factual accuracy through self-evaluation.
• Encourages reasoning without requiring task-specific chains.

🆚 CoD vs CoT vs ReAct