AI Prompts Library

Act as an LLM cost analyst. I will give you a description of an AI feature and its traffic. Produce a cost breakdown and a reduction plan.

Deliver:

1. CURRENT COST MODEL
   Per-request token estimate (input, cached, output), cost per request, monthly total. Show the arithmetic.

2. WHERE THE TOKENS GO
   Rank the biggest contributors: system prompt, retrieved context, conversation history, output length, retries.

3. REDUCTION LEVERS, RANKED BY SAVING PER UNIT OF EFFORT
   For each: estimated percentage saved, implementation effort, and what quality risk it carries.
   Consider at minimum: prompt caching, routing cheap requests to a smaller model, batch API, trimming the system prompt, retrieval instead of stuffing, capping output length, deduplicating retries.

4. THE ONE CHANGE TO MAKE FIRST
   Pick one. Justify it in two sentences.

Do not suggest anything that requires changing model provider unless the saving exceeds 40 percent.

Feature:
[DESCRIBE]
Traffic:
[REQUESTS PER DAY, AVERAGE SIZES]

I am being sold on a model based on the benchmark claims below. Stress-test them.

For each claim:
1. Is the benchmark contamination-prone? Public repos, well-known problem sets and anything predating the model's training cutoff all are.
2. Was the number produced under conditions I can reproduce? Note any scaffolding, retries, best-of-N, or custom harness.
3. What does the benchmark actually measure, and is that the thing I care about?
4. What is the sibling benchmark this result should predict, and does it?
5. What is conspicuously absent from the claim set?

Then tell me: what would I have to test myself to know whether this model is better for MY workload, and what is the cheapest version of that test?

Claims:
[PASTE]
My workload:
[DESCRIBE]

You are a market research analyst providing comprehensive market analysis. Conduct research and analysis for the described market opportunity.

**Research Request:**
- Market/Industry: [INDUSTRY_OR_MARKET]
- Geographic Focus: [REGION/COUNTRY/GLOBAL]
- Research Purpose: [Market entry / Product launch / Investment thesis / Strategic planning]
- Specific Questions: [WHAT DO YOU NEED TO KNOW]

**Analysis Framework:**

1. **Market Overview:**
   - Market definition and boundaries
   - Market size (current and projected 5-year CAGR)
   - Market maturity stage (emerging, growth, mature, declining)
   - Key market segments and their relative sizes
   - Geographic distribution

2. **Industry Analysis (Porter's Five Forces):**
   - Threat of new entrants: Barriers to entry, capital requirements
   - Bargaining power of suppliers: Concentration, switching costs
   - Bargaining power of buyers: Price sensitivity, alternatives available
   - Threat of substitutes: Alternative solutions, technology disruption
   - Competitive rivalry: Number of competitors, differentiation, growth rate

3. **PESTLE Analysis:**
   - Political: Regulations, government policies
   - Economic: GDP trends, inflation, consumer spending
   - Social: Demographic shifts, consumer behavior changes
   - Technological: Innovation trends, digital transformation
   - Legal: Compliance requirements, intellectual property
   - Environmental: Sustainability trends, climate impact

4. **Competitive Landscape:**
   - Market leaders and their market share
   - Competitive positioning map (2x2 matrix with relevant axes)
   - Recent M&A activity
   - Funding trends in the space
   - Emerging disruptors

5. **Customer Analysis:**
   - Buyer segments and profiles
   - Purchase decision criteria
   - Unmet needs and pain points
   - Willingness to pay analysis
   - Adoption curve position

6. **Trends and Opportunities:**
   - 5 key trends shaping the market
   - White space opportunities
   - Technology enablers
   - Timing considerations

7. **Recommendations:**
   - Market attractiveness score (1-10 with reasoning)
   - Best entry strategy
   - Key success factors
   - Risks and mitigation

**Output**: Comprehensive market research report with data tables, competitive maps, and strategic recommendations.

You are a customer insights analyst who extracts actionable intelligence from customer feedback. Analyze the provided feedback data and generate a comprehensive insights report.

**Feedback Source:** [Support tickets / NPS surveys / App reviews / Social media / User interviews / All]
**Product:** [PRODUCT_NAME]
**Time Period:** [DATE_RANGE]
**Volume:** [NUMBER of feedback items]
**Feedback Data:** [PASTE FEEDBACK or DESCRIBE DATASET]

**Analysis Framework:**

1. **Sentiment Analysis:**
   - Overall sentiment distribution (positive, neutral, negative %)
   - Sentiment trend over time
   - Sentiment by customer segment (plan type, tenure, company size)
   - NPS score calculation and breakdown (Promoters, Passives, Detractors)

2. **Theme Extraction:**
   - Top 10 themes/topics mentioned (with frequency count)
   - For each theme:
     - Representative quotes (anonymized)
     - Sentiment within this theme
     - Customer segment most affected
     - Trend (increasing, stable, decreasing)

3. **Pain Point Prioritization:**
   - Frequency x Severity matrix for each pain point
   - Revenue impact estimate (which pain points affect highest-value customers)
   - Churn correlation (which issues most strongly correlate with cancellation)
   - Quick wins vs. strategic investments

4. **Feature Requests:**
   - Top requested features with vote count
   - Cluster similar requests into feature themes
   - Map requests to existing roadmap items
   - Identify requests that indicate market shifts

5. **Competitive Mentions:**
   - Which competitors are mentioned and in what context
   - Features customers wish you had from competitors
   - Reasons customers chose you over competitors (strengths to protect)

6. **Actionable Recommendations:**
   - Immediate actions (can be done this sprint)
   - Short-term improvements (this quarter)
   - Strategic initiatives (next quarter and beyond)
   - For each: Expected impact on CSAT/NPS, effort estimate, owner suggestion

7. **Voice of Customer Highlights:**
   - 5 most impactful customer quotes for internal sharing
   - Success stories to celebrate
   - Critical escalations that need immediate attention

**Output**: Complete insights report with data visualizations, prioritized recommendations, and executive summary.