Google Antigravity Builds FULL Web Apps For You (No Code & Free)

Key Concepts

• Anti-Gravity: Google’s new tool for building AI-powered web applications.
• Agent: Within Anti-Gravity, the AI component acting as a junior developer, responding to prompts.
• Explorer: The file and folder management system within Anti-Gravity, similar to Google Drive.
• Instructions.md: A markdown file defining the project’s goals, scope (what is and isn’t included), and desired outcomes.
• Rules.md: A markdown file outlining how the Agent should behave, including constraints and prohibitions (e.g., avoiding assumptions).
• Scaffolding: The initial file and folder structure created by the Agent based on instructions.
• Iteration: The process of refining the application through repeated prompts and adjustments.
• Localhost: The environment where the application runs on your computer before being deployed online.
• GitHub: An online repository for storing code.
• Vercel: A platform for deploying web applications from a GitHub repository.
• Markdown (.md): A plain text formatting syntax.

Building an AI Analytics Dashboard with Anti-Gravity: A Step-by-Step Guide

This document details the process of building a web-based analytics dashboard using Google’s Anti-Gravity tool, as demonstrated in the video. The process is broken down into four stages: Planning, Rules Definition, Building & Iteration, and Deployment. The creator, Jono, highlights the potential for selling these services ($2,000 - $5,000) or using them to improve business performance. He contrasts this ease of use with his previous experience learning Looker Studio, which took two months compared to the 10-15 minutes with Anti-Gravity.

1. Planning Stage: Defining the Project

The initial step involves setting up the Anti-Gravity environment and defining the project’s parameters.

• Installation: Download the Anti-Gravity desktop application from anti-gravity.google and log in with a Google account.
• Workspace Creation: Create a parent folder within Anti-Gravity to house all project files (e.g., "test analytics 2"). This is done by opening a folder in Documents and creating a new empty folder.
• Key Files: Two crucial markdown (.md) files are used for planning:
  • instructions.md: This file outlines the project's scope, defining what will and won’t be built (e.g., no authentication, payments, or databases). It also defines “done” criteria (e.g., SEO optimization, mobile responsiveness) and specifies the required project scaffolding (files and folders).
  • rules.md: This file acts as a “contract” for the Agent, dictating its behavior. It includes rules like avoiding assumptions, “hallucinations” (making up information), and requiring explicit permission before making changes.
• Saving Files: Anti-Gravity requires manual saving of files (File > Save) for them to be recognized within the environment.

2. Rules Definition: Guiding the Agent

This stage focuses on establishing clear guidelines for the AI Agent to ensure desired outcomes.

• Purpose of Rules: The rules.md file defines how the Agent should act and, importantly, not act. This prevents unwanted behavior and ensures the application aligns with the project’s goals.
• Example Rules: Specific rules include avoiding assumptions, preventing the creation of fabricated information, and prioritizing user permission before implementing changes.
• Analogy: Jono compares the rules.md file to a contract with a plumber, outlining expectations and policies.

3. Building & Iteration: From Prompt to Application

This is the core development phase, where the Agent builds the application based on the provided instructions and rules.

• Initial Prompt: The first prompt instructs the Agent to “Please read the instructions.md and rules.md files and build out the scaffolding.” This initiates the creation of the project’s file structure.
• Human-in-the-Loop: The Agent requests permission before creating files or folders, allowing for review and acceptance ("accept" button). Rejecting changes is also possible.
• Data Source: The dashboard pulls data from a Google Spreadsheet (link provided in the video description). The data is formatted as a CSV file.
• Data Structure: The spreadsheet contains data on leads, sales calls, contract status (won/lost), and revenue. Each row represents a single event in the sales funnel. The "event" column tracks the lead's progression through the sales process. Conversion rates are calculated based on the number of paying customers divided by the number of new leads.
• First Prompt Details: The first prompt defines the goal (analytics dashboard), data source (Google Spreadsheet), and desired features (filtering by date and sales rep).
• UI Guidance: A screenshot of a desired dashboard design (found on Dribbble) is provided to the Agent as a visual reference.
• Agent Workflow: The Agent follows a defined workflow: 1) Plans the next steps, 2) Requests input from the user, 3) Executes the plan.
• Error Handling: The Agent can identify and resolve coding errors independently, demonstrating its ability to self-correct.
• Iteration: The process is iterative. Additional prompts are used to add features (e.g., sales rep performance tracking). Jono emphasizes that multiple iterations are typically required to achieve the desired outcome.

4. Deployment: Making the Application Live

The final stage involves deploying the application to a publicly accessible server.

• GitHub Integration: The application’s code is uploaded to a private GitHub repository. This is achieved by providing the Agent with the repository creation details.
• Vercel Deployment: The GitHub repository is connected to Vercel, a platform that automatically deploys the application.
• Deployment Process: Vercel takes the code from GitHub and makes it accessible online.
• Accessing the Application: A unique URL is generated by Vercel, providing access to the live application. The video demonstrates a temporary loading error, but confirms the application was successfully deployed.

Notable Quotes

• Jono: “If you’re looking to sell these services to existing business owners, people are begging for this kind of stuff. I know I’ve sold it multiple times between the range of $2 to $5,000.”
• Jono: “I actually had to do this the hard way back in the day where I learned a tool like Looker Studio. And it took me like 2 months to freaking learn what we’re going to be building in like 10 or 15 minutes today using anti-gravity.”

Data & Statistics

• Service Pricing: Analytics dashboards like this can be sold for $2,000 - $5,000.
• Time Savings: Anti-Gravity can build an application in 10-15 minutes that would take 2 months with Looker Studio.
• Business Automation: Jono claims to have automated up to 80% of his business in 60 days using similar techniques.

Conclusion

The video demonstrates the power of Anti-Gravity to rapidly build web-based applications with minimal coding knowledge. The four-stage process – Planning, Rules Definition, Building & Iteration, and Deployment – provides a clear framework for creating functional applications. The emphasis on clear instructions, defined rules, and iterative refinement highlights the importance of guiding the AI Agent effectively. The potential for both service provision and internal business improvement makes Anti-Gravity a valuable tool for entrepreneurs and business owners. The key takeaway is that complex tasks previously requiring significant technical expertise can now be accomplished quickly and efficiently with the aid of AI.