Prompt Engineering Guide
Mastering Meeting notes extraction
on Claude 3.5 Sonnet
Stop guessing. See how professional prompt engineering transforms Claude 3.5 Sonnet's output for specific technical tasks.
The "Vibe" Prompt
"Extract key information from these meeting notes. What were the main discussion points, decisions made, and follow-up actions? Also, identify attendees."
Low specificity, inconsistent output
Optimized Version
You are an expert meeting summarizer. Your goal is to extract structured information from raw meeting notes. Follow these steps:
1. **Identify Meeting Metadata:** List the attendees present and any explicit meeting title or date mentioned.
2. **Summarize Discussion Points:** Condense the main topics and arguments discussed into concise bullet points. Focus on what was talked about, not just actions.
3. **Extract Decisions Made:** List all explicit decisions reached during the meeting. For each decision, identify the key outcome and any associated responsible party if mentioned.
4. **Detail Follow-up Actions:** List all action items with their responsible person and due date, if specified. If a due date is not specified, state 'TBD'.
Provide the output in a clear, well-structured format, using headings for each section. Prioritize accuracy and completeness based *only* on the provided notes. Do not infer or add information not explicitly stated.
Meeting Notes:
[PLACEHOLDER_MEETING_NOTES_TEXT]
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt leverages several best practices: it assigns a clear persona ('expert summarizer'), breaks the task into sequential steps (Chain-of-Thought), specifies desired output format (headings, bullet points), and sets constraints (accuracy, no inference). This structured approach guides the model more effectively than a generic request, reducing ambiguity and improving output quality. The explicit placeholders also make it clear where the actual meeting notes will be inserted.
0%
Token Efficiency Gain
Optimized prompt consistently extracts attendees, discussion points, decisions, and action items, even with complex notes.
Optimized prompt maintains a structured output format (headings, bullet points) as requested.
Optimized prompt accurately identifies 'TBD' for missing due dates for action items, where applicable.
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