Ever feel like ChatGPT is just a glorified "generic content generator"? You rewrite the prompt, make it longer, and add more instructions—but the answer just gets worse.
In this video, we’re breaking down the real reason AI is failing you. It’s not that the AI isn't smart enough; it’s that you’re asking it to make decisions you haven’t made yet.
Most people treat AI like a junior employee who needs a lecture. I’m going to show you why you should treat it like a contractor who needs a blueprint.
???? What You’ll Learn:
The "Decision Gap": Why more instructions actually lead to worse AI outputs.
The Contractor Mental Model: How to stop "explaining" and start "defining."
The 3 Pillars of Great AI Output: Examples, Constraints, and Decisions.
The "Reality Check" Question: One simple question to ask before you hit enter to guarantee a better result.
???? The Key Takeaway:
AI doesn’t need to know more; it needs you to decide more. When you stop asking AI to "think" and start asking it to "execute" on your decisions, the quality of your output will skyrocket.
???? Timestamps:
0:00 - Why your prompts are failing 0:45 - The real reason AI gives bad answers 1:30 - The Mental Model: Examples, Constraints, & Decisions 2:15 - How to perform a "Reality Check" on your prompts 3:00 - Before & After: How clear decisions change everything 3:45 - What "Training AI" actually means 4:20 - What’s coming next in the series
Next Steps: This is the first part of a series on mastering AI for your business. In the next video, I’ll show you exactly how to give AI examples it can learn from without making your prompts 10 pages long.
#ChatGPT #ArtificialIntelligence #PromptEngineering #AIBusinessStrategy #Productivity #AIWorkflow #TechTrends2026
In this video, we’re breaking down the real reason AI is failing you. It’s not that the AI isn't smart enough; it’s that you’re asking it to make decisions you haven’t made yet.
Most people treat AI like a junior employee who needs a lecture. I’m going to show you why you should treat it like a contractor who needs a blueprint.
???? What You’ll Learn:
The "Decision Gap": Why more instructions actually lead to worse AI outputs.
The Contractor Mental Model: How to stop "explaining" and start "defining."
The 3 Pillars of Great AI Output: Examples, Constraints, and Decisions.
The "Reality Check" Question: One simple question to ask before you hit enter to guarantee a better result.
???? The Key Takeaway:
AI doesn’t need to know more; it needs you to decide more. When you stop asking AI to "think" and start asking it to "execute" on your decisions, the quality of your output will skyrocket.
???? Timestamps:
0:00 - Why your prompts are failing 0:45 - The real reason AI gives bad answers 1:30 - The Mental Model: Examples, Constraints, & Decisions 2:15 - How to perform a "Reality Check" on your prompts 3:00 - Before & After: How clear decisions change everything 3:45 - What "Training AI" actually means 4:20 - What’s coming next in the series
Next Steps: This is the first part of a series on mastering AI for your business. In the next video, I’ll show you exactly how to give AI examples it can learn from without making your prompts 10 pages long.
#ChatGPT #ArtificialIntelligence #PromptEngineering #AIBusinessStrategy #Productivity #AIWorkflow #TechTrends2026
- Catégories
- prompts ia
- Mots-clés
- AI bad answers, ChatGPT bad responses, why AI gives generic answers


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