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The Future of AI Prompting: 5 Context Levels

The Future of AI Prompting: 5 Context Levels

Tiago ForteGrade B-· AI prompting

Here is exactly what makes this video win, decoded into reusable templates you can apply to your own niche: the title formula, the thumbnail recipe, the hook, the script structure, and the description pattern.

Title
Future-Focused Number List

43 chars · has a number · trigger: curiosity

Title verbatim
"The Future of AI Prompting: 5 Context Levels"
Thumbnail

subject center · emotion: joy · face large · complementary · arrow/circle · number visible · palette: Neutral grays and whites (background, creator's shirt). Yellow labels create primary pop and draw immediate attention. AI tool icons add secondary color accents (orange, green, black). High contrast between text containers and background ensures readability at small scale.

On-thumbnail text
"level 1 level 5 [task]+[context]" (5 words)
Hook
Pattern interrupt

device: open_loop

First 30 seconds
What if you could get better results from AI with a simple prompt like this than with a complex prompt like that? Well, the reality is you can because getting the most out of AI is no longer about better prompting. The secret lies in giving it better context. But what does that actually mean? And how can you use it to transform your AI from a forgetful assistant to your most valuable team member? Let's start with the foundation of it all. Every AI that you work with, every LLM has read
Short script
Tutorial collapsed
Hook
What if you could get better results from AI with a simple prompt like this than with a complex prompt like that? Well, the reality is you can because getting the most out of AI is no longer about better prompting.
Long script
Tutorial

11 retention devices · 5 chapters · 1 CTAs

Cold open, first 30s
What if you could get better results from AI with a simple prompt like this than with a complex prompt like that? Well, the reality is you can because getting the most out of AI is no longer about better prompting. The secret lies in giving it better context. But what does that actually mean? And how can you use it to transform your AI from a forgetful assistant to your most valuable team member?
See the full decode
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