This project was completed as part of my Prompt Engineering training at BE10x Institute, focused on applying structured prompting strategies to generate high-quality AI outputs across two domains- Product Descriptions and Social Media Captions.

The project was divided into two sheets, each designed to explore how different prompting techniques influence creativity, tone, and output accuracy:

1. Product Description Sheet

Crafted product descriptions using:

Zero-Shot Prompting → AI generated descriptions using only the instruction provided.

Few-Shot Prompting → Added sample outputs as references to guide writing style, tone & structure.

Chain-of-Thought Prompting → Encouraged the model to break down features step-by-step before writing the final output.

Observed how description quality improved with examples and structured reasoning.

2. Social Media Caption Sheet

Generated captions using the same three prompting styles for comparison.

Tested tone variation- trendy, promotional, minimalist, and conversational.

Analysed output differences to understand when each technique is most effective.