Quick Start: Build Your First 5 Prompts in 15 Minutes

You are an expert analyst specializing in extracting actionable insights.

Your task: Summarize the following content using this exact structure:

**Main Point (1 sentence):**
[The single most important insight]

**Key Findings (3-5 bullet points):**
- [Finding 1 with specific data/evidence]
- [Finding 2 with specific data/evidence]
- [Finding 3 with specific data/evidence]

**Action Items (2-3 items):**
- [Concrete next step 1]
- [Concrete next step 2]

**Critical Gaps:**
[What's missing or unexplained]

Content to analyze:
"""
[PASTE YOUR CONTENT HERE]
"""

You are an economics research assistant specialized in systematic literature reviews.

Extract the following information from the academic paper below. Use "NOT STATED" if information is not present.

**RESEARCH QUESTION:**
[State the main research question in one sentence]

**METHODOLOGY:**
Type: [Quantitative/Qualitative/Mixed/Theoretical]
Data: [Sample size, time period, sources]
Methods: [Regression, case study, etc.]

**KEY FINDINGS:**
1. [Finding with statistical evidence if provided]
2. [Finding with statistical evidence if provided]
3. [Finding with statistical evidence if provided]

**LIMITATIONS:**
- [Limitation 1]
- [Limitation 2]

**RELEVANCE TO: [YOUR RESEARCH TOPIC]**
[2-3 sentences on how this relates to your work]

**CITATION:**
[Format as APA]

Paper content:
"""
[PASTE PAPER ABSTRACT OR FULL TEXT]
"""

You are a senior software engineer conducting a thorough code review.

Analyze the code below and provide feedback in this structure:

**BUGS & ERRORS:**
- [Issue 1: Description, Line number, Severity (Critical/Major/Minor)]
- [Issue 2: Description, Line number, Severity]

**SECURITY CONCERNS:**
- [Security issue 1 with explanation]
- [Security issue 2 with explanation]

**PERFORMANCE ISSUES:**
- [Performance concern 1]
- [Performance concern 2]

**BEST PRACTICE VIOLATIONS:**
- [Anti-pattern 1 with better approach]
- [Anti-pattern 2 with better approach]

**POSITIVE ASPECTS:**
- [Good practice 1]
- [Good practice 2]

**PRIORITY FIXES (Top 3):**
1. [Most critical fix with suggested code]
2. [Second priority fix with suggested code]
3. [Third priority fix with suggested code]

Code to review:
```[LANGUAGE]
[PASTE CODE HERE]

**Test It Now:**

1. Find any code snippet (from your project, GitHub, or a tutorial)
2. Paste into the prompt
3. Replace `[LANGUAGE]` with the programming language
4. Run the review

**Expected Output:**

Structured feedback you can immediately action, prioritized by severity.

<Callout type="info">

**What This Does:**

**Senior role** elevates quality of suggestions. **Categorized feedback** (bugs vs security vs performance) enables prioritization. **Severity levels** help triage. **Positive aspects** balances criticism with recognition. **Concrete fixes** provide actionable solutions.

</Callout>

**Verification Checklist:**

Issues categorized correctly. Severity ratings make sense. Suggested fixes are syntactically valid. Positive aspects are genuine (not just filler).

</Step>

<Step>

### Step 4: Business Data Synthesizer

**Why this matters:** Customer interviews, survey responses, and feedback contain gold—but extracting themes manually takes hours.

**The Prompt:**

```text
You are a qualitative research analyst specializing in thematic analysis.

Analyze the following data and extract actionable themes:

**MAJOR THEMES (3-5 themes):**
For each theme:
- Theme Name: [Clear, descriptive name]
- Frequency: [How many sources mention this]
- Evidence: [Direct quotes from at least 2 sources]
- Implication: [What this means for our business]

**SENTIMENT BREAKDOWN:**
- Positive: [% and key points]
- Neutral: [% and key points]
- Negative: [% and key points]

**SURPRISING INSIGHTS:**
[2-3 unexpected findings that contradict assumptions]

**RECOMMENDED ACTIONS:**
1. [Immediate action based on strongest theme]
2. [Secondary action based on second theme]
3. [Long-term initiative based on patterns]

Data sources to analyze:
"""
[PASTE CUSTOMER FEEDBACK, INTERVIEW TRANSCRIPTS, SURVEY RESPONSES]
"""

You are a data formatting specialist. Convert the following information into the exact structure specified.

Output format: [JSON / CSV / Markdown Table / YAML]

Required fields:
[Specify exactly what fields you need]

Quality requirements:
- All fields must be populated (use null if not available)
- Follow exact naming conventions
- Validate data types (strings quoted, numbers unquoted, etc.)
- No additional commentary outside the formatted output

Source data:
"""
[PASTE UNSTRUCTURED DATA]
"""

Return ONLY the formatted output, nothing else.

You are a data formatting specialist. Convert the following information into the exact structure specified.

Output format: JSON

Required fields:
{
  "title": "string",
  "authors": ["array", "of", "strings"],
  "year": number,
  "findings": ["array", "of", "key", "findings"],
  "methodology": "string",
  "citations": number
}

Quality requirements:
- All fields must be populated (use null if not available)
- Follow exact naming conventions
- Validate data types (strings quoted, numbers unquoted, etc.)
- No additional commentary outside the formatted output

Source data:
"""
The Impact of AI on Labor Markets by Smith, J. and Chen, L. published in 2023 found that AI adoption increased productivity by 15% but reduced routine job roles by 8%. The study used regression analysis on data from 500 companies. It has been cited 42 times.
"""

Return ONLY the formatted output, nothing else.

{
  "title": "The Impact of AI on Labor Markets",
  "authors": ["Smith, J.", "Chen, L."],
  "year": 2023,
  "findings": [
    "AI adoption increased productivity by 15%",
    "Reduced routine job roles by 8%"
  ],
  "methodology": "Regression analysis on data from 500 companies",
  "citations": 42
}