Gemini 3 + Gamma + n8n is absolutely WILD
This combo is absolutely insane for turning meetings into professional decks automatically.
No manual notes. No "I'll send that over later." No remembering who needs what.
Just AI tools working together like a professional operations team.
Here's how it works:
→ Meeting ends, n8n trigger fires and pulls Fireflies transcript
→ Gemini 3 analyzes everything and creates professional presentation structure
→ Gamma API generates designer-quality deck with interactive link + PDF
→ Slack sends you preview with Approve/Reject buttons
→ Hit Approve, system emails deck to ALL participants with action items
→ They get PDF attachment + Gamma link before you even close Zoom
Perfect for founders and sales teams who want to look impossibly organized.
The power is in the combo:
n8n = zero-click automation that runs itself
Gemini = extracts what matters, structures it professionally
Gamma = designer-quality decks that look like you hired a team
While others are scrambling to remember action items, your deck is already in their inbox.
Close deals faster.
Look impossibly organized.
Never miss follow-up again.
Like, RT + reply with "GAMMA" and I'll DM the complete system
(Must be following so I can DM)
Skip this and keep manually building slide decks at 11pm.
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.
नेपालमा खेल्ने तास बनाउन सके पनि ठुलै ब्यापार हुने रहेछ. गत आर्थिक बर्षमा २३ करोड ५४ लख ९३ हजार रुपैंयाको खेल्ने तास विदेश बाट आएको रहेछ. श्रोत-अर्थ मन्त्रालय भन्सार विभागको रिपोर्ट https://t.co/yIypOG4gRk अब बहादुर नेपालीहरु यस्तो काममा लाग्ने कि लम्पसार पर्ने ? लौ त साहस गरौ
प्राप्त १५१ पुस्तकबाट मदन पुरस्कार २०७६ का लागि ७ पुस्तक छनौट भएका छन्।
जोकरको बन्दुक: विमल निभा
धर्सैधर्साको चक्रव्यूह: तीर्थ श्रेष्ठ
परित्यक्ता: भुवन ढुङ्गाना
महारसनिघण्टु (१–३): योगी धर्ममहारस
महारानी: चन्द्रप्रकाश बानियाँ
मोहपथ: ललित बिष्ट
यात्रामा: शारदा शर्मा
@MadanPuraskar
🙏नेपाली बृहत् शब्दकोशको Android: https://t.co/aNfPTZMrJX, iPhone: ६४ हजार नेपाली शब्दहरुको अर्थ सहितको एप आज प्रधानमन्त्री केपी शर्मा ओलीद्वारा सार्वजनिक गरिएको छ। हरेकले आफ्नो मोबाइलमा यो एप डाउनलोड गरेर उपयोग गर्न सक्नुहुनेछ धन्यवाद प्रज्ञा प्रतिस्ठान र संलग्न प्राबिधिकहरुलाई
I reverse-engineered the register file in the Intel 8086 microprocessor. Each register cell is static, based on two inverters in a loop. Some registers are multi-ported, more complexity than I expected in a 42-year-old processor.
https://t.co/qDxgIhtnXQ
Tough day for us at Twitter. We all feel terrible this happened.
We’re diagnosing and will share everything we can when we have a more complete understanding of exactly what happened.
💙 to our teammates working hard to make this right.
The HEY stack:
- Vanilla Ruby on Rails on the backend, running on edge
- Stimulus, Turbolinks, Trix + NEW MAGIC on the front end
- MySQL for DB (Vitess for sharding)
- Redis for short-lived data + caching
- ElasticSearch for indexing
- AWS/K8S
"Know him as the man in black, bustin' his ass
In the boots and the buckle and the hat
Come on make some noise
For the one and only real McCoys
Long live the cowboys...."
https://t.co/EP50ouW5X2
“Farmer’s son becomes doctor….. makes family proud”. This sounds like the kind of achievement that every Indian would be proud to cheer on. Sadly, this story has a sad ending.