Mastering Google Gemini 3.1 Pro in 2026: Ultimate Prompting Strategies & Hidden Features

Link to our newsletter: https://bitbiased.ai/
You know that moment when you upload a massive 100-page document to an AI and it just… crashes?

I tested Gemini 3.1 Pro, and what happened honestly surprised me.

This model doesn’t just summarize long documents — it understands them. It handles up to 1 million tokens of context, generates complete applications in one response, creates animated SVG graphics from text prompts, and runs multi-step agent workflows without losing track.

In this video, I walk through real demos including:
• Analyzing a 150-page research report
• Generating a complete multi-file Python application
• Creating production-ready animated SVG graphics
• Designing a themed website from literature
• Running an agentic business trip automation

Timestamps:
00:00 – Gemini 3.1 Pro Overview
01:23 – What Makes Gemini 3.1 Pro Different?
03:20 – Key Features: 1M Context, Reasoning & Multimodal AI
06:32 – Ultimate Prompting Strategies (How To Use It Properly)
10:28 – Real-World AI Demos
10:44 – Demo 1: 150-Page Document Analysis
11:53 – Demo 2: Full Python App Generation
13:04 – Demo 3: Animated SVG Creation
14:07 – Demo 4: AI Website Design From Literature
15:05 – Demo 5: Agentic Automation Workflow
16:06 – Why Gemini 3.1 Pro Actually Matters

We’ll also cover:
What makes Gemini 3.1 Pro different
ARC-AGI-2 benchmark performance (77.1%)
1M token context explained
65K token output generation
Fine-grained thinking control (Low / Medium / High)
Multimodal capabilities (text, code, images, video, PDFs)
How to reduce hallucinations using structured prompting

If you’re a developer, researcher, designer, or just serious about AI tools — this model changes what’s actually possible.

Try it yourself via:
Google AI Studio
Gemini CLI
Vertex AI
NotebookLM

Drop a comment if you’re building something interesting with Gemini 3.1 Pro.

Subscribe for more deep dives into AI tools that actually matter.