Prompt to System Architecture: Chain of Draft
Prompt to System Architecture: Chain of Draft is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Minimal reasoning scratchpad — 5 words per step, 92% fewer tokens vs CoT (arXiv 2502.18600). Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (System & Base Contexts) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 466 |
| Source file | prompt-system-architecture-chain-of-draft.txt |
| Access tier | Free public (MIT) |
Pre-Filled Template
Chain of Draft (CoD) Prompting Technique Source: "Chain of Draft: Thinking Faster by Writing Less" — arXiv 2502.18600 (Feb 2025) ------------------------------------------------------------------ TECHNIQUE OVERVIEW: Chain of Draft constrains each reasoning step to ≤5 words, forcing minimal but essential intermediate thinking. On GSM8k math: 91% accuracy vs CoT's 95%, using only 7.6% of tokens. Latency reduction up to 76%. ------------------------------------------------------------------ BASIC SYSTEM PROMPT: Think step by step, but only keep a minimum draft for each thinking step, with 5 words at most. Return the answer after a #### separator. ------------------------------------------------------------------ EXTENDED SYSTEM PROMPT (for complex tasks): Think step by step. For each reasoning step, write a minimal draft of 5 words or fewer — only the essential operation or transformation. Do not explain; just note what you are doing. After all steps, write #### on its own line, then give the final answer. Example format: Step 1: [≤5 words] Step 2: [≤5 words] Step 3: [≤5 words] #### [Final answer here] ------------------------------------------------------------------ USAGE NOTES: - Best for: math word problems, logical reasoning, multi-step calculations - Not ideal for: creative writing, open-ended generation, tasks requiring explanation - Works with: GPT-4, Claude 3+, Gemini 1.5+ - Token savings: ~92% vs standard CoT; latency: up to 76% lower - Accuracy tradeoff: ~4% below CoT on math benchmarks — acceptable for most real-world use ------------------------------------------------------------------ FEW-SHOT EXAMPLE: User: "Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 balls. How many tennis balls does he have now?" Model: Step 1: 2 cans × 3 balls Step 2: 6 new balls Step 3: 5 + 6 = 11 #### 11
How to use this prompt
- Review the pre-filled example and source files above.
- Copy the template or download
prompt-system-architecture-chain-of-draft.txt, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to System Architecture: Chain of Draft?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-system-architecture-chain-of-draft.txt and paste it into your model, IDE or workflow tool. Prompt to System Architecture: Chain of Draft is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Prompt to System Architecture: Chain of Draft free?
Yes. Prompt to System Architecture: Chain of Draft is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to System Architecture: Chain of Draft need?
Prompt to System Architecture: Chain of Draft is a static blueprint with no dynamic variables. Copy it and use it as-is.