Free AI prompt library
Library of 29 free AI prompts for ChatGPT, Claude and Gemini. Sorted by category, one-click copy, no signup required.
Looking for free AI prompts that actually work? Our library gathers 29 prompts tested and optimized for ChatGPT, Claude and Gemini. Everything is 100% free — no signup, no copy limit.
Every prompt is sorted by category (writing, productivity, marketing, code, education…) and comes with concrete examples. You save time by reaching for proven formulations instead of trial-and-error each time.
100% free
No paywall, no mandatory signup to copy a prompt.
Multi-AI
Every prompt works with ChatGPT, Claude, Gemini and Mistral.
Categorized
Filter by topic, difficulty and use case.
Bilingual
Available in French and English, tailored to each audience.
Showing 13-24 of 29 prompts
Sales forecasting with forecasting models
Build a sales forecasting model with method comparison, scenarios, and confidence intervals.
Customer comment sentiment analysis
Automatic sentiment analysis of customer comments with theme extraction, trends, and product recommendations.
NPS and customer satisfaction analysis
Complete NPS analysis with segmentation, verbatim analysis, and customer satisfaction improvement plan.
A/B test results interpretation
Rigorous statistical analysis of A/B test results with bias verification and deployment recommendation.
Conversion funnel analysis
Exhaustive conversion funnel analysis with friction point identification and A/B test recommendations.
Cohort analysis and customer retention
Complete cohort analysis to measure and understand customer retention with aha moment identification.
Web analytics metrics analysis
Comprehensive web analytics metrics analysis to understand visitor behavior and identify optimization areas.
Advanced Excel formulas for data analysis
Provides advanced Excel formulas tailored to specific analysis problems with explanations and variants.
Automated weekly report generation
Design an automated weekly reporting system with intelligent comments and contextual alerts.
Anomaly detection in data
Detect anomalies and outliers in a dataset with multiple statistical methods and severity scoring.
Customer segmentation by clustering
Segment a customer base into homogeneous groups via RFM and K-means with personalized marketing strategies per segment.
Correlation analysis between variables
Analyze correlations between dataset variables with business interpretation and heatmap visualization.