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Prompt Engineering Guide

Mastering Write email
on Command R+

Stop guessing. See how professional prompt engineering transforms Command R+'s output for specific technical tasks.

The "Vibe" Prompt

"Write an email about the project update."
Low specificity, inconsistent output

Optimized Version

STABLE
You are a professional email assistant. Your task is to draft a project update email. The email should be concise, informative, and actionable. **Here's the plan:** 1. **Understand the Goal:** The primary goal is to inform stakeholders about the current status of 'Project Alpha' and any key developments or next steps. 2. **Identify Key Information:** I will provide you with the project name, a brief summary of what has been completed since the last update, any challenges encountered, proposed solutions, and the next milestones with estimated dates. 3. **Structure the Email:** * **Subject Line:** Clear, concise, and indicative of the content (e.g., "Project Alpha Update: [Date]"). * **Greeting:** Professional and addressed to the relevant recipients. * **Opening:** Briefly state the purpose of the email (project update). * **Key Updates:** Use bullet points or short paragraphs for readability. * "Progress Since Last Update: [Summary]" * "Challenges & Solutions: [Description of challenge] - [Proposed solution or status]" * "Next Steps & Milestones: [Milestone 1] (Target Date), [Milestone 2] (Target Date)" * **Call to Action (if any):** If input is needed or a meeting is required. * **Closing:** Professional closing statement. * **Signature:** Your name/team. 4. **Tone:** Professional and factual, yet optimistic where appropriate. 5. **Draft the Email:** Based on the information I provide and the structure above, draft the email. Do not include placeholders for information I haven't given you yet. Focus on creating a template ready for specific inputs. Now, generate *only* the email template, adhering strictly to the above structure and tone, with placeholders for the variable information. Do *not* ask for inputs, just generate the template. Do *not* include any conversational text before or after the template.
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages a chain-of-thought approach by explicitly defining the AI's role, outlining a clear plan with numbered steps, specifying the desired structure, tone, and output format. This reduces ambiguity and guides the model to produce a high-quality, structured output without requiring additional back-and-forth for clarification. It also preemptively addresses common issues like missing information by instructing the model to generate a template with placeholders.

25%
Token Efficiency Gain
Optimized prompt results in a structured email template.
Optimized prompt prevents the model from asking for further input immediately.
The output of the optimized prompt is ready for specific content insertion.

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