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Built withClaude Code

For performance & growth marketers

Build landing pages, tools, and campaigns with AI

Learn Claude Code, Antigravity, Claude Skills, and Vibecoding to ship pages, internal tools, and performance marketing automation in hours instead of weeks.

Start with Claude Code→
Claude Code
$

Tools covered in this wiki

Claude Code
Next.js
Supabase
Google Ads
Google Analytics
Meta Ads
Gemini CLI
OpenCode
Claude Code
Next.js
Supabase
Google Ads
Google Analytics
Meta Ads
Gemini CLI
OpenCode

How Claude Code transforms your marketing operations

Stop exporting CSVs and building pivot tables. Connect directly to your marketing platforms and let AI help you analyze, optimize, and act on your data in real time.

Google Ads operations

Monitor campaigns, detect anomalies, and optimize bids without waiting for reports. Claude Code connects to the Google Ads API to help you spot performance shifts before they drain budget.

What you'll learn:

  • Setting up Google Ads API access through Claude Code
  • Building automated campaign monitors
  • Creating custom bidding rules based on your KPIs
  • Generating performance insights in seconds
Google Ads operations
$

Meta Ads operations

Track ad fatigue, creative performance, and audience saturation across your Meta campaigns. Get alerts when metrics shift so you can refresh creative or adjust targeting before performance drops.

What you'll learn:

  • Connecting to Meta Marketing API with Claude Code
  • Building creative fatigue monitors
  • Automating audience analysis
  • Creating custom campaign health dashboards
Meta Ads operations
$

Platforms you'll learn to connect:

  • Ad platforms: Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads
  • Analytics: Google Analytics 4, Mixpanel, Amplitude
  • CRM data: HubSpot, Salesforce, Pipedrive
  • Sales data: Stripe, Shopify, custom databases

Real use cases:

  • Compare ad spend to actual revenue by channel
  • Track customer journey from first click to purchase
  • Identify which campaigns drive highest LTV customers
  • Spot attribution gaps between platforms

What you'll learn:

  • Writing natural language queries for complex marketing questions
  • Building automated reporting workflows
  • Creating custom alerts for metric changes
  • Developing optimization playbooks based on your data

Workflows you'll build:

  • Daily performance monitors with anomaly detection
  • Creative testing frameworks with automated analysis
  • Audience saturation alerts and refresh triggers
  • Budget allocation models based on real ROI data
  • Attribution analysis across multiple touchpoints

How to use this wiki

Four steps to start building today

01

Learn the fundamentals

Understand how AI coding tools like Claude Code, Cursor, Gemini CLI, and Antigravity work and how to communicate with them effectively.

02

Pick a real problem

Start with something you actually need. A page, a tool, a workflow. Real stakes equal real learning.

03

Follow the workflows

Copy the step-by-step processes. Understand the thinking, not just the prompts.

04

Ship something today

The gap between learning and doing is where most people quit. Don't be most people.

Tools covered in this wiki

Claude Code

Build full-stack applications through natural language conversation

Cursor

AI-powered code editor for rapid prototyping and iteration

Gemini CLI

Command-line AI assistant for automation and scripting

OpenCode

Open-source AI coding assistant for developers

Antigravity

No-code tool builder for marketers

Claude Skills

Reusable AI workflows for common marketing tasks

Your first build is 10 minutes away

Pick a starting point and let's go.

Start with Claude Code basics→Browse all playbooks