I Built a Claude Agent that Makes 500 AI UGC Ads per Month
Shows how AI agents and APIs can be combined to automate high-volume commercial video production pipelines.
What this lesson covers
This tutorial explains how to build a Claude AI agent workflow using Claude Co-work and Arcads to automatically script, filter, and generate hundreds of UGC video ads. The creator walks through setting up API credentials, defining workspace rules via markdown files, and running batch generations on autopilot.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:27 ↗
Claude Co-work can operate as an AI agent that accesses files, manages external APIs, and executes multi-step workflows on your computer.
- 0:45 ↗
Arcads integrates models like Seedance 2.0, Kling, and Google VEO behind a single API to allow programmatic video generation.
- 1:37 ↗
Enabling browser use settings in Claude Co-work allows the agent to open external websites and interact with platforms like Arcads directly.
- 3:31 ↗
Creating a claude.md file inside your workspace acts as the system brain, storing script structures, quality checklists, and API instructions.
- 5:34 ↗
The AI agent can automatically evaluate script variations against a strict quality threshold, saving top-performing scripts as JSON files before triggering video renders.
Workflow outlined in the video
- Upgrade to Claude Pro or Max, download the desktop app, and enable browser use and file access settings.
- Obtain an Anthropic API key and add funds to your console account for background agent tasks.
- Set up an Arcads account, navigate to public API settings, and copy your client ID, secret, and authorization header.
- Create a dedicated workspace folder and configure your .env file with your Anthropic and Arcads credentials.
- Set up your claude.md system file with prompt instructions, quality checklists, and script parameters.
- Input your product brief and instruct the agent to generate scripts, filter talking actors, and run batch video renders automatically.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
24,506 views captured 25 October 2026. ReelStack recommendation score: 33/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.72× views vs 13 other channel videos observed at a similar age. View-evidence factor 96% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 7 views/day vs 2 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 2/100; likes + 4× comments, smoothed with a 500-view neutral prior