The World’s Best AI Model just Dropped: Gemini 3, by Google

Hey builders,

Gemini 3, Google’s new AI model, just dropped. It's rewriting the rules of what's possible with AI.

Google calls this their "next step toward AGI," and so far from our testing, they're really not exaggerating.

At Ghost Team, we spent the last 24 hours stress-testing this model. We built full games in single prompts, cloned entire platforms, and created complex simulations that would've taken weeks to code manually.

The results were genuinely shocking.

This isn't incremental progress - it's a fundamental shift in how software gets built.

Here's what we're covering today:

→ Why this matters
→ Model capabilities that will change how you work
→ Best use cases with real examples
→ Power prompts - tested and proven to unlock Gemini 3's full potential
→ Tips that'll save you hours of trial and error

Let's dive in.

Why this matters

Gemini 3 Pro is officially the most powerful AI model in the world by benchmark performance, surpassing GPT-5.1 and Claude Sonnet 4.5 across major evaluations.

This creates major opportunities to change how you work:

Significant ‘Vibe Coding’ improvements

Go from natural language prompt to fully functional app in way fewer steps. You’ll experience fewer multi-step iterations or complex technical specs.

I’ll show you some examples further down but if you use Google’s AI Studio (or Gemini 3 in any of your favourite no-code tools e.g. Loveable / Replit), you’re going to get better results then you ever have before.

We’re moving closer and closer for people to be able to Vibe Code actually deployable code.

Agentic capabilities at scale

The model can break down complex tasks, operate autonomously across editors and terminals, and handle multi-step workflows that previously required human oversight.

Gemini 3 Pro scores 54.2% on Terminal-Bench 2.0 - the highest score achieved by any model for operating a computer via terminal.

On top of that, Google just released Antigravity, which is their our next generation agentic IDE (Integrated Development Environment), now powered by Gemini 3:

For those that are non-technical, this is the same type of tool as Cursor, a platform that launched in 2023 and is reported to cross $1B in annualised revenue in 2025.

This is a big deal as it means developers and vibe coders can now use Antigravity and Gemini 3 together, keeping more people in the Google ecosystem.

Multimodal reasoning breakthrough

Gemini 3 combines state-of-the-art reasoning with deep vision and spatial understanding, opening entirely new use cases.

We’ll cover some of these examples below.

What you can actually build (real examples)

Here’s some of the things we’ve built and the best we’ve seen from others in the last 24 hours:

1. Instant game development

Create complete, playable games from a single prompt.

Example: "Gemini Runner" - a fully functional endless runner game with physics, scoring, and progressive difficulty.

See it in action.

2. Complex simulations and physics engines

Gemini 3 can build working simulations of real-world systems with accurate physics.

Examples we built:

• Working nuclear power plant simulation

• Golden Gate Bridge structural simulation

• 3D Rubik's cube with real physics

3. UI cloning and enhancement

Upload any screenshot or URL and get a pixel-perfect clone with added functionality.

Example: I replicated the Financial Times website in seconds, then you can add custom features via follow-up prompts.

4. Multimodal content transformation

Feed Gemini anything (images, PDFs, napkin sketches, scribbles) and transform it into interactive applications.

Example: A napkin sketch becomes a fully functional website with backend logic and AI workflows.

Watch the demo.

7. Sports and video analysis

Analyze long-form video content for performance insights.

Example: Upload a sports performance video and get a detailed audit identifying technical issues with specific drills to fix them.

The 1M token context window means you can process hours of footage or thousands of pages of documentation.

Watch the demo.

8. Dynamic search experiences

Get visual layouts with interactive tools and simulations generated for your specific question.

Example: Ask about the physics of the three-body problem and receive an interactive simulation explaining the concept.

View example

9. AI-powered travel planning

Receive immersive, magazine-style layouts with interactive modules.

Example: "Plan a 3-day trip to Rome" generates an explorable itinerary with photos, recommendations, and customizable options.

See it live

10. Complex task automation with Gemini Agent

Break down multi-step tasks like booking services or organizing your inbox into actionable steps.

Example: "Organize my inbox" - Gemini prioritizes emails, drafts replies, and archives messages based on importance.

Learn more

Power prompts: Get the most out of Gemini 3

Based on extensive testing and Google's official documentation, here are the most effective prompt strategies:

1. The Ultra-Specific Vibe Coding Prompt

For building complete applications:

Create a [type of application] that [core functionality].

Include:
- [Specific feature 1]
- [Specific feature 2]
- [Specific feature 3]

Design requirements:
- [Visual style/aesthetic]
- [Color scheme or brand guidelines]
- [Layout preferences]

Technical requirements:
- [Framework preferences if any]
- [Performance considerations]
- [Responsive design needs]

Make it production-ready with proper error handling and edge case management.

Example:

Create an interactive portfolio website with smooth animations.

Include:
- Hero section with animated gradient background
- Project gallery with hover effects and modal popups
- Contact form with email validation
- Smooth scroll navigation

Design requirements:
- Modern, minimalist aesthetic
- Dark mode with accent colors (electric blue #00D4FF)
- Mobile-first responsive design

Make it production-ready with proper error handling and edge case management.

2. The Multimodal Transformation Prompt

For converting images/sketches into apps:

[Upload image/sketch/PDF]

Transform this into a fully functional [type of application] with:
- [Key functionality derived from the visual]
- [Additional features to add]
- [Style/aesthetic improvements]

Keep the core concept but make it [production-ready/more interactive/more visually polished].

3. The Clone-and-Enhance Prompt

For replicating existing UIs with improvements:

[Attach screenshot or provide URL]

Create a pixel-perfect clone of this interface, then enhance it with:
- [New feature 1]
- [New feature 2]
- [Performance improvements]

Match the visual style exactly but optimize for [mobile/accessibility/speed].

4. The Agentic Task Prompt

For multi-step automation:

I need you to [complex multi-step task].

Steps should include:
1. [Research/data gathering]
2. [Analysis/processing]
3. [Action/output generation]

Constraints:
- [Budget/time/resource limits]
- [Specific requirements]
- [Approval checkpoints]

Break this down into clear steps and execute them, asking for confirmation before any critical actions.

Tips and tricks

1. Use "thinking level" parameter for complex tasks

Gemini 3 introduces a new thinking_level parameter in the API. For complex reasoning tasks, set this to "high" to get deeper, more thorough responses.

2. Keep default temperature (1.0) for Gemini 3

Unlike other models, Gemini 3 is optimized for a temperature of 1.0. Don't change it unless you have a specific reason.

3. Structure prompts for long contexts

When providing large amounts of context:
→ Supply all context first
→ Place specific instructions at the very end
→ Use clear transition phrases like "Based on the information above..."

4. Be direct and precise

Gemini 3 responds best to prompts that are:
→ Direct (avoid unnecessary persuasive language)
→ Well-structured (use clear delimiters)
→ Explicit about constraints and requirements

6. Test "I'm feeling lucky" in Google AI Studio

Google AI Studio has an "I'm feeling lucky" button that lets Gemini 3 generate both the creative concept and implementation simultaneously - great for inspiration.

How to get started

Free access: 
→ Google AI Studio: aistudio.google.com 
→ Gemini App: Available now with Gemini 3

Paid access: 
→ API: $2/million input tokens, $12/million output tokens
→ Google AI Ultra: Full agent capabilities and advanced features
→ Free for US college students for one year

Developer tools: 
→ Google Antigravity (new agentic IDE)
→ Google AI Studio Build Mode
→ Gemini CLI

Time to get building!

I’ve been incredibly impressed by this release in many ways. Not just the capability of the model but the tools and ecosystem Google is building around it. I’m very excited to see what you build.

As always, feel free to drop me a reply with feedback or questions on any AI growth topics. I read every reply!

Happy building,

Elliot

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