20 Prompt Mistakes That Are Killing Your AI Results (And How to Fix Them!) – Part 1

Top 20 Prompt Mistakes That Are Ruining Your AI Results (And How to Fix Them) | ChatGPT Prompt Tips – Part 1

Struggling to get great results from ChatGPT, Claude, Gemini, or Leonardo AI? You're probably making one of these common AI prompt mistakes—but don’t worry, you're not alone!

In Part 1 of this 2-part series, we break down the top 10 beginner prompt mistakes that hurt your output—and show you how to fix them fast using simple, effective prompt engineering techniques.

✅ In this video, you'll learn:

How to write better prompts for ChatGPT and other AI tools

Why vague prompts don’t work—and what to say instead

The importance of roles, format, and word count

How to avoid overloading your prompts with too much info

Real-life examples that instantly improve AI results

???? Whether you're a content creator, marketer, student, or AI enthusiast—these tips will dramatically improve the quality of your AI responses.

???? Don’t miss Part 2, where we dive into the advanced mistakes that even experienced users make!

Timestamps:
0:00 – Intro
0:53 – Mistake #1: Being Too Vague
1:26 – Mistake #2: Skipping the Role Instruction
1:50 – Mistake #3: No Output Format
2:08 – Mistake #4: Overloading the Prompt
2:32 – Mistake #5: Too Much Information
2:47 – Mistake #6: No Audience Context
3:07 – Mistake #7: Generic Language
3:23 – Mistake #8: No Iteration
3:37 – Mistake #9: No Context in Follow-Ups
3:55 – Mistake #10: Prompting Like It’s Google

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