Инстаграм: Alexa hairstylist:
"Постоје ствари које се не заборављају...
Знам како изгледа одрастати уз самохрану мајку. Ја и моја сестра смо та деца. Моја мама је изгубила мужа са само 38 година, али никада није изгубила снагу да се бори за нас!
Зато данас желим да дам мали део себе онима којима је потребно.
Позивам све самохране мајке које имају дечаке, шишање је потпуно БЕСПЛАТНО, без икакве надокнаде.
Ако ово видиш, а знаш некога коме би значило МОЛИМ ТЕ подели.
Нек ова порука стигне до оних којима је потребна.
Ја ћу дати своје руке и срце.
Ви помозите да дођу до мене."
Gemini 3 has a capability most people don't even know exists.
it's not the 1M tokens.
it's not the multimodal processing.
it's something else entirely.
And it's the reason I built 3,000+ prompts specifically for Gemini 3.
Everyone talks about Gemini's specs:
→ 1 million token context
→ Native multimodal inputs
→ Deep Think mode
→ Agentic workflows
But they're missing what happens when you combine these features.
The secret is persistent systems thinking.
Gemini 3 doesn't just process large contexts.
It maintains coherent reasoning ACROSS those contexts while simultaneously:
- Analyzing images
- Reading documents
- Planning multi-step workflows
- Adapting based on previous outputs
This creates emergent capabilities that don't exist in other models.
I built 3,000+ prompts that exploit this.
Each prompt is built around this core insight:
Gemini 3's real power isn't WHAT it can process.
It's HOW it connects everything together.
The library includes:
✓ 3,000+ production-ready prompts
✓ Organized by difficulty (beginner → advanced)
✓ Real use cases for each prompt
Like, RT + reply "GEMINI" and I'll DM you the guide.
(Must be following so I can DM)
Skip this and keep wondering why your Gemini results feel the same as ChatGPT.
Or grab the library and start using the capability everyone's missing.