3 Projects to Build With Google Antigravity + AI Studio

What you'll learn: How to use the AI Studio → Antigravity pipeline to build 3 real-world projects. Each project includes the workflow, prompts, and expected outcomes. Total time: 2-3 hours per project.

Google's integration of AI Studio and Antigravity has created the fastest path from idea to working app. But what can you actually build with it?

Here are three projects — from beginner to advanced — that showcase the full power of the agent-first workflow.

Project 1: AI-Powered Personal Dashboard

Difficulty: Intermediate | Time: ~2 hours | Stack: React, Node.js, Google APIs

What You'll Build

A real-time personal dashboard that aggregates your email summaries, calendar events, weather, news headlines, and task list — all on one page, all summarized by AI.

Why This Is Useful

You probably check 5+ apps every morning: Gmail, Calendar, Weather, News, Todoist. This dashboard replaces that ritual with a single AI-curated view. Open one tab, see everything that matters.

Step-by-Step Workflow

Phase 1: AI Studio (Prompt Design)

Open AI Studio
Create a new prompt with Gemini 3.1 Pro

Design your email summarization prompt:

You are a personal email assistant. Given a list of email subjects and senders,
categorize them as: 🔴 Urgent, 🟡 Important, 🟢 Low Priority.
For each email, write a 1-sentence summary.
Output as JSON: [{category, sender, subject, summary}]

Test with sample email data until the output is perfect
Repeat for news summarization and calendar event formatting

Phase 2: Antigravity (Build)

Click "Open in Antigravity" with your tested prompts

Tell the agent:

Build a responsive personal dashboard with React and Tailwind CSS.

Features:
- Email card: Pull from Gmail API, summarize with Gemini using this prompt: [your tested prompt]
- Calendar card: Show next 48 hours from Google Calendar API
- Weather card: Current + 3-day forecast from Open-Meteo API
- News card: Top 5 headlines from NewsAPI, AI-summarized
- Tasks card: Active tasks from Google Tasks API

Design: Dark mode, card-based layout, mobile-responsive.
Auto-refresh every 15 minutes.
Include a "Good morning, [name]" header with a motivational quote.

Watch the agent scaffold the project, install dependencies, create components, and wire up APIs
Test in Antigravity's built-in browser

Phase 3: Deploy

One command: firebase deploy — or let the agent handle it.

What You'll Learn

How to prototype AI prompts before building
Multi-API integration via agents
The power of designing intent first, coding second

Project 2: Smart Content Repurposer

Difficulty: Beginner-Intermediate | Time: ~1.5 hours | Stack: Python Flask, Gemini API

What You'll Build

A web app where you upload a blog post, article, or YouTube transcript — and AI instantly generates platform-specific content: tweets, LinkedIn posts, Instagram captions, email newsletter paragraphs, and SEO metadata. All in your brand voice.

Why This Is a Game-Changer

Content creators spend 3-5 hours per piece repurposing content across platforms. This tool does it in 30 seconds while maintaining consistent voice and tone.

Step-by-Step Workflow

Phase 1: AI Studio (Voice Calibration)

Open AI Studio with Gemini 3.1 Pro

Create platform-specific prompts. Example for X/Twitter:

Transform this blog content into 5 tweet variations (max 280 chars each).
Rules:
- Start with a hook (question, stat, or bold claim)
- Include 1-2 relevant emojis
- End with a call to action or provocative thought
- Vary the angle: educational, controversial, personal story, data-driven, motivational
Brand voice: [describe your voice — e.g., "direct, witty, data-backed"]

Content: {input_text}

Test each platform prompt with real content until the output sounds like you
Save each prompt template

Phase 2: Antigravity (Build)

Hand off to Antigravity:

Build a web app with Python Flask backend and clean HTML/CSS frontend.

Features:
- Upload form: Accept text paste, URL (auto-extract content), or file upload (.txt, .md)
- Processing: Run input through 5 Gemini prompts (tweets, LinkedIn, Instagram, newsletter, SEO)
- Display: Show results in tabs, one per platform
- Each result has a "Copy" button and character count
- Add a "Regenerate" button per platform
- Include a "Download All" button (JSON export)

Design: Clean, minimal, dark mode. Professional typography.

Agent builds everything — upload handler, Gemini API integration, tabbed UI, copy buttons

Pro Tip: Add Google Drive Export

Tell the agent to add a "Save to Drive" button — it'll create a formatted Google Doc with all variations.

What You'll Learn

How to calibrate AI voice across platforms
Building multi-output AI tools
Why prompt design in AI Studio saves hours of iteration in code

Project 3: Autonomous Code Review Agent

Difficulty: Advanced | Time: ~3 hours | Stack: Node.js, GitHub API, Cloud Run

What You'll Build

A GitHub bot that automatically reviews every pull request — not surface-level linting, but deep analysis: understanding intent, catching security issues, suggesting architectural improvements, and rating complexity.

Why This Matters

Code reviews are bottlenecks. Senior developers spend 20-30% of their time reviewing PRs. This bot handles the first pass — catching 80% of issues before a human even looks at the code.

Step-by-Step Workflow

Phase 1: AI Studio (Review Pipeline Design)

Build and test a 4-stage review pipeline:

Stage 1 — PR Summary:

Analyze this git diff and provide:
1. A 2-sentence summary of what this PR does
2. Files changed and their purpose
3. Estimated risk level (Low/Medium/High)

Diff: {diff_content}

Stage 2 — Security Scan:

Review this code diff for security vulnerabilities:
- SQL injection, XSS, CSRF
- Hardcoded secrets or API keys
- Unsafe deserialization
- Missing input validation
- Dependency vulnerabilities

Flag each issue with severity (Critical/High/Medium/Low) and line number.
If no issues found, say "No security concerns detected."

Diff: {diff_content}

Stage 3 — Improvement Suggestions:

Suggest improvements for this code diff:
- Performance optimizations
- Better error handling
- Cleaner abstractions
- Missing edge cases
- Test coverage gaps

For each suggestion, show the current code and proposed improvement.
Max 5 suggestions, prioritized by impact.

Diff: {diff_content}

Stage 4 — Complexity Rating:

Rate this PR's review complexity:
- Score: 1-10
- Estimated review time for a human
- Key areas requiring human judgment
- Auto-mergeable? (yes/no with reasoning)

Diff: {diff_content}

Test each stage individually in AI Studio until the outputs are reliable and actionable.

Phase 2: Antigravity (Build + Deploy)

Build a GitHub App (Node.js) that:

1. Listens for pull_request webhooks (opened, synchronize)
2. Fetches the PR diff via GitHub API
3. Runs the diff through a 4-stage Gemini review pipeline
4. Posts the combined review as a GitHub PR comment with formatted sections
5. Adds a severity label to the PR (review-safe, review-needed, review-critical)

Requirements:
- Use Antigravity Skills for each review stage (modular, reusable)
- Include a .reviewconfig.json for per-repo customization (strictness, ignored paths)
- Rate limit: max 1 review per PR per 5 minutes
- Deploy to Google Cloud Run
- Include comprehensive error handling and logging

What the Agent Builds

GitHub App boilerplate with OAuth + webhook handling
4 modular Antigravity Skills (one per review stage)
Formatted markdown comment builder
Cloud Run Dockerfile + deployment config
Config system for per-repo customization

What You'll Learn

Multi-stage AI pipeline design
Antigravity's Skills system for modular agent capabilities
Production deployment of AI-powered bots

Which Project Should You Start With?

Your Level	Start Here	Why
New to Antigravity	Project 2 (Content Repurposer)	Simplest stack, fastest results
Comfortable with APIs	Project 1 (Dashboard)	Multi-API integration, practical daily use
Advanced developer	Project 3 (Code Review Bot)	Production-grade, showcases full pipeline

Get Started Now

Google AI Studio — Free, browser-based
Google Antigravity — Free public preview

The agent-first era is here. These projects aren't just tutorials — they're templates for how software gets built from now on.

3 Projects to Build With Google Antigravity + AI Studio (Step-by-Step)

3 Projects to Build With Google Antigravity + AI Studio

Project 1: AI-Powered Personal Dashboard

What You'll Build

Why This Is Useful

Step-by-Step Workflow

Phase 1: AI Studio (Prompt Design)

Phase 2: Antigravity (Build)

Phase 3: Deploy

What You'll Learn

Project 2: Smart Content Repurposer

What You'll Build

Why This Is a Game-Changer

Step-by-Step Workflow

Phase 1: AI Studio (Voice Calibration)

Phase 2: Antigravity (Build)

Pro Tip: Add Google Drive Export

What You'll Learn

Project 3: Autonomous Code Review Agent

What You'll Build

Why This Matters

Step-by-Step Workflow

Phase 1: AI Studio (Review Pipeline Design)

Phase 2: Antigravity (Build + Deploy)

What the Agent Builds

What You'll Learn

Which Project Should You Start With?

Get Started Now

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