Google just launched Gemini 3 Pro, and I immediately tested it across real workflows —from reading the official release, to exploring what developers are building in AI Studio,all the way to connecting Gemini 3 Pro inside n8n for actual automation tasks.
If you're working with AI automations, agents, workflows, or long-context documents,this breakdown will be extremely useful.
🔥 What’s Inside the Video
1. Quick Rundown of the Official Gemini 3 Pro Release
- New multimodal capabilities
- Deep Think / upgraded reasoning
- 1M context window
- Agentic execution improvements
- Updated model family (Flash, Flash Thinking, Pro, Pro Thinking)
I walk through the blog quickly and highlight only the parts that actually matter.
2. What Developers Are Building in AI Studio
We take a look at real examples created with Gemini 3 Pro:
- Auto-generated UI
- Fully coded apps
- Mini games
- Interactive tools
- Multimodal workflows
Some of the demos coming out of AI Studio are genuinely crazy — definitely worth seeing.
3. Connecting Gemini 3 Pro to n8n for Real Automations
This is the fun part.
I built two real n8n workflows to test Gemini 3 Pro in scenarios you’ll likely use:
✅ Image Analysis Workflow
We send the same image to multiple models and compare the reasoning quality.
✅ Long-Context PDF Reasoning
I feed an entire 50+ page financial report into the modeland use n8n Evaluations to measure correctness across 10 detailed questions.
You’ll see the accuracy scores, token usage, and actual reasoning outputs.
Perfect for anyone automating document workflows.
📹 Watch the full video:
💬 Discussion
Have you tried Gemini 3 Pro yet?What are you planning to build with it?
Share your thoughts below — let’s compare results.