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Prompt Engineering Guide

Mastering Meeting notes extraction
on Mixtral 8x22B

Stop guessing. See how professional prompt engineering transforms Mixtral 8x22B's output for specific technical tasks.

The "Vibe" Prompt

"Extract the key points, decisions, and action items from these meeting notes. Give me a summary."
Low specificity, inconsistent output

Optimized Version

STABLE
You are an expert meeting assistant tasked with meticulously extracting critical information from provided meeting notes. Your goal is to provide a structured, concise, and highly accurate summary. First, carefully read through the entire meeting transcript/notes. Next, identify and categorize the following specific elements: 1. **Key Discussion Points:** What were the main topics discussed and the core arguments or information shared for each? 2. **Decisions Made:** What explicit decisions were reached during the meeting? Include who is responsible if stated, and any associated deadlines. 3. **Action Items:** What specific tasks need to be completed, by whom, and by when? Be precise. 4. **Open Questions/Future Discussions:** What items were raised but not fully resolved, or explicitly set aside for future follow-up? Constraint Checklist & Confidence Score: 1. Extracts ONLY Key Discussion Points? 2. Extracts ONLY Decisions Made? 3. Extracts ONLY Action Items? 4. Extracts ONLY Open Questions/Future Discussions? 5. Output is structured and concise? Confidence Score: [1-5]: Meeting Notes: """ [INSERT MEETING NOTES HERE] """ Provide the extracted information formatted as follows: ### Meeting Summary #### 1. Key Discussion Points: - [Point 1] - Details: [Relevant details] - [Point 2] - Details: [Relevant details] #### 2. Decisions Made: - [Decision 1: concise statement of decision] (Responsible: [Name], Deadline: [Date/N/A]) - [Decision 2: concise statement of decision] (Responsible: [Name], Deadline: [Date/N/A]) #### 3. Action Items: - [Action 1: task description] (Assigned to: [Name], Due: [Date/N/A]) - [Action 2: task description] (Assigned to: [Name], Due: [Date/N/A]) #### 4. Open Questions/Future Discussions: - [Question/Topic 1] - [Question/Topic 2]
Structured, task-focused, reduced hallucinations

Engineering Rationale

The 'optimized_prompt' works by providing explicit, step-by-step instructions that guide the model through a chain-of-thought process. It first establishes the model's persona (expert meeting assistant), then outlines specific identification and categorization tasks. The prompt defines what constitutes each category, reducing ambiguity. The 'Constraint Checklist & Confidence Score' encourages self-correction and qualitative assessment by the model, mimicking human review. Finally, the strict output format template ensures consistency, readability, and ease of parsing, making it less likely for the model to 'hallucinate' or deviate from the desired structure. This structured approach significantly improves accuracy, completeness, and consistency compared to the vague 'vibe_prompt' which leaves too much to the model's interpretation.

0%
Token Efficiency Gain
The optimized prompt consistently extracts information into the specified categories (Key Discussion Points, Decisions Made, Action Items, Open Questions/Future Discussions).
The optimized prompt's output format strictly adheres to the provided markdown structure.
The optimized prompt demonstrates a higher accuracy in identifying specific responsibilities and deadlines for decisions and action items compared to the naive prompt.

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