Building a Landing Page in Google Antigravity

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You know your business needs a landing page that turns visitors into leads, but starting from scratch can feel overwhelming. Between design, copy, and code, it’s easy to lose hours (or days) just wrestling with setup. Meanwhile, competitors are refining their online presence nonstop.

What if you could build a polished, responsive landing page, complete with analytics, contact form, and proof of work artifacts, in a single afternoon? Antigravity is Google’s new AI powered IDE that lets agents plan, write, and test code for you inside a TypeScript and React workflow, so you can move from idea to live page much faster. Here’s how we used it to do exactly that for a modern business brand.

How We Built a Business Landing Page in Antigravity

We put ourselves in the shoes of a solo founder ready to launch a new SaaS product. The goal: design a clean, conversion-focused landing page that looks great on any device, showcases product value, and is ready for real-world traffic, all without the usual setup headaches.

Why Antigravity Was the Perfect Fit

✅ Automates setup & artifact capture: Instantly spins up a full project with screenshots, video walkthroughs, and task plans, which is ideal for sharing progress or proof with stakeholders.

✅ Agent-assisted coding: Lets you describe what you want and see it built in real time, including complex UI components.

✅ Visual browser subagent: Preview the site, tweak design, and validate changes with one click, with no manual refreshes required.

✅ Iterative feedback loop: Quickly refine sections (hero, features, pricing, etc.) by asking for targeted improvements or uploading screenshots.

✅ Built-in best practices: Enforces accessibility, SEO, and responsive design standards out of the box, saving hours on reviews.

How We Did It

Here is exactly how we built a complete business landing page using Antigravity’s agent first workflow. You can follow these steps for your own brand with no advanced coding required.

1. Set Up Antigravity for Business Dev

We installed Antigravity from the official download page, signed in with a personal Gmail account, and made sure Chrome was available, which matches the preview requirements in the Antigravity docs.

In the initial setup, we chose a fresh configuration instead of importing settings from other editors and picked an editor theme that felt comfortable for longer sessions.

2. Choose an Agent Mode and Policies

When Antigravity asked how we wanted to use the agent, we selected an agent assisted development style flow, which the docs recommend as a good balance between autonomy and control.

We set the terminal execution policy to allow common installs and commands, and used a review policy that lets the agent proceed on routine changes but still surfaces artifacts for review when work is more complex.

3. Create a Workspace in the Agent Manager (Mission Control)

From the Agent Manager view, which the docs describe as Mission Control, we created a new workspace and pointed it at an empty local folder for the project.

Each workspace maps to a folder on disk, so you can think of it like any other app directory you might use in VS Code. The Inbox in the Agent Manager keeps track of conversations and artifacts, which makes it easy to come back to this landing page project later.

💫 Level Up

Go From Landing Page To Full AI Product

AI is moving faster than most teams can keep up, and the builders who understand AI coding tools are the ones shipping real products. The AI Coding for Entrepreneurs Course from Skill Leap shows you how to go from simple landing pages to full stack AI apps without a traditional dev background. By the end, you will know how to combine ChatGPT, Lovable, Cursor, and Supabase to launch projects that real users can touch.

Here’s what you’ll do in this course:

• Build custom landing pages and email capture flows with Lovable and Supabase

• Use Cursor and GitHub to edit, organize, and ship production ready code

• Integrate OpenAI APIs and ChatGPT Canvas to add practical AI features

• Deploy both frontend and backend projects to a live Cloudflare domain

• Apply clear prompting habits to fix broken code and move past issues faster

From a single landing page to a full AI powered product, this is how you close the gap between idea and working software.

4. Set Up the Antigravity Browser Subagent

Following the browser setup flow in the docs, we let the agent launch the Antigravity managed browser and install the Chrome extension when prompted.

This enabled the browser subagent, which is a specialized helper that can open localhost, click through the page, scroll, and capture screenshots and short recordings. Once the extension was installed and permissions were granted, the main agent could test and verify the landing page directly in the browser.

5. Generate the React + TypeScript Project

In the Agent Manager, we started a new conversation in our workspace and used a natural language instruction like:

‘Create a TypeScript React app and give it a simple landing page for a modern business.’

We selected Gemini 3 Pro as the model. Antigravity created the initial project structure, installed dependencies, and ran the dev server, which matches the agent first flow described in the getting started guide.

6. Watch the Landing Page Come to Life in the Browser

While the agent ran commands, we opened the browser preview to watch the landing page render on localhost in real time. The blue border and activity indicators reflect the browser subagent taking control, exactly as described in the documentation. When the agent finished, we could see the initial landing page, even though the design was still bare and needed improvement.

7. Improve the Design With Visual Prompts and Screenshots

Once we had the basic layout, we used the inline screenshot workflow shown in both the docs and the video. We grabbed a screenshot of the current page and told the agent something like:

‘Make this look like a modern SaaS landing page with a stronger hero section and clearer calls to action.’

Antigravity updated the React components and Tailwind styles, then refreshed the browser preview and recorded a short playback, which is stored as an Artifact. This allowed us to iterate on the hero, typography, and spacing without hand editing every CSS rule.

8. Use Recordings and Artifacts to Shape Components

Next, we asked the agent to navigate to localhost, record a walkthrough, and store notes in a markdown file. This matches the docs description of Artifacts as task plans, screenshots, and browser recordings that prove what changed.

We then referenced that markdown file to ask for new components, such as a more structured feature section or a clearer callout block, based on what the agent had seen in the recording.

9. Tune Antigravity Settings for Faster Iteration

In Settings, we aligned with the options described in the getting started guide. We enabled auto open edited files, auto continue, and auto lint fixes so the agent could move smoothly through its tasks.

For terminal commands, we chose a setting that lets the agent run common installs automatically but still ask for approval when something looks more sensitive. This kept the workflow fast while maintaining oversight, which is how the docs recommend balancing speed and safety.

10. Stay Organized With Version Control and Simple Prompts

Finally, we treated the workspace like any other project folder and initialized Git so we could always roll back to stable code if a later prompt broke something. From there, improvements were driven by simple, targeted instructions, such as:

‘Strengthen the headline and subheadline for a B2B audience.’

‘Tighten the spacing and make the primary button more prominent.’

The agent handled the code edits across multiple files, while the Artifacts view in the Agent Manager gave us diffs, screenshots, and recordings to quickly review its work.

Throughout, we used Planning mode for major changes and Fast mode for quick tweaks, keeping our workflow efficient and artifact trail clean.

Other Ways to Use This

Building a landing page is just the start. Antigravity’s workflow is ideal for any entrepreneur or small team looking to move fast and document progress. Not your scenario? Here’s where this shines:

⏳ Consultants: Spin up custom landing pages for client projects, with verifiable artifact trails.

📈 Agencies: Prototype new client sites and rapidly iterate on feedback with visual history.

💡 SaaS Founders: Launch product microsites and marketing pages, then hand off to devs with complete code and docs.

👏 Internal Teams: Create campaign or event landing pages with built-in analytics and accessibility checks.

✅ Bootstrappers: Validate ideas with quick, professional pages, with no need to wrangle multiple tools.

💡Bonus Pro Tips

Use Screenshots for Visual Tweaks: When something’s off, upload a screenshot and say “Make this look better” and the agent will propose targeted UI fixes

Switch Modes Strategically: Use Planning for major rebuilds or new sections, Fast for minor CSS or copy edits. It keeps the artifact trail tidy and saves time

Reference Files Directly: Use @file in chat to ground requests in specific code, which is perfect for complex UI or backend tweaks

Keep the Browser Subagent Enabled: This lets Antigravity open localhost, interact with your app, and capture proof-of-work artifacts for every change

Iterate Copy With Prompts: Fine-tune your messaging by prompting the agent to rewrite copy for tone, brevity, or audience fit

⏭️ What’s Next

We will be back next week with another how to on using AI in your business. The exact topic is still under wraps, but it will be a practical build you can follow from start to finish.

If you want to sharpen your skills in the meantime, Skill Leap already has in depth lessons on AI powered coding and prompting techniques that you can start applying right away.