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Prompt Engineering for Beginners
Kavya IyerSize Chart (Men)
TOPS + T-Shirt
| Size | Bust | Waist | Hips | US/CAN |
| XS | 32-33 | 24-25 | 35-36 | 0/1 |
| S | 34-35 | 26-27 | 37-38 | 3/5 |
| M | 36-37 | 28-29 | 39-40 | 7/9 |
| L | 38.5-40 | 30.5-32 | 41.5-43 | 11/13 |
| XL | 41 1/2 | 33 1/2 | 44 1/2 | 15 |
| 1X | 44-45.5 | 37-38.5 | 47-48.5 | 14/16 |
| 2X | 47-49 | 40-42 | 50-52 | 18/20 |
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|---|---|---|---|
| XS / 34 | 6 | 78-82 | 87-91 |
| S / 36 | 8 | 82-86 | 91-95 |
| M / 38 | 10 | 86-90 | 95-99 |
| L / 40 | 12 | 90-94 | 99-103 |
| XL / 42 | 14 | 90-98 | 103-107 |
Size Chart (Men)
Tops
| Size EU | Size UK | Chest | Waist | Hip |
|---|---|---|---|---|
| XS / 34 | 6 | 78-82 | 60-64 | 87-91 |
| S / 36 | 8 | 82-86 | 64-68 | 91-95 |
| M / 38 | 10 | 86-90 | 68-72 | 95-99 |
| L / 40 | 12 | 90-94 | 72-76 | 99-103 |
| XL / 42 | 14 | 90-98 | 76-80 | 103-107 |
Pants / Shorts / Skirts
| Size EU | Size UK | Waist | Hip |
|---|---|---|---|
| XS / 34 | 6 | 78-82 | 87-91 |
| S / 36 | 8 | 82-86 | 91-95 |
| M / 38 | 10 | 86-90 | 95-99 |
| L / 40 | 12 | 90-94 | 99-103 |
| XL / 42 | 14 | 90-98 | 103-107 |
Two people. Same AI tool. Wildly different results.
The difference is rarely the tool. The difference is how they ask. That difference has a name. It is called prompt engineering, and it is the subject of this book.
Across ten chapters and four appendices, this practical guide takes the reader from first principles to production-grade prompt systems, with worked examples and a 90-day practice plan.
WHAT YOU WILL LEARN
● Build the four blocks of a strong prompt.
● Apply five core design patterns to any task.
● Master few-shot and chain-of-thought techniques.
● Diagnose four common AI failure modes.
● Refine prompts through iterative cycles.
● Build a prompt library that compounds over time.
WHO THIS BOOK IS FOR
This book is for working professionals and students who have used AI tools casually and now want to use them seriously. It is especially useful for writers, analysts, developers, designers, educators, consultants, support leads, product managers, and team leads seeking better results from AI.
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