I Built a Claude Agent that Makes 500 AI UGC Ads per Month

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Summary

A developer demonstrates how to chain Claude Co-work agent with Arcads’ video API to autonomously write, cast, render and iterate 500+ UGC-style ads monthly for a fraction of agency cost.

I Built a Claude AI Agent That Makes 500 UGC Ads a Month Arcads 👉 https://youricreates.com/arcads-agent In this video, I break down how an AI agent system is used to generate hundreds...
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TL;DR: Using Claude’s Co-work agent and the Arcads API, you can spin up a fully-automated pipeline that writes, casts, renders and delivers 500+ UGC-style ads per month without touching a mouse. ## The Full Stack: Claude Co-work + Arcads Two tools do all the heavy lifting: - **Claude Co-work** – the desktop “agent” that opens files, hits APIs and chains multi-step jobs end-to-end. - **Arcads** – a single REST endpoint that wraps Kling 2.0, O, Cling, Google VO and other models, so one call = finished video. Traditional agencies charge $3-8 k for 15 clips; the same budget now buys 500+. ## Step 1 – Prep Claude 1. Sign up → Pro plan (Max also fine). 2. Install the desktop client; left rail shows Chat / Co-work / Code. 3. Settings → General → enable “Browser use” so the agent can surf. 4. console.anthropic.com → create API key, copy it. 5. Billing → top up $10-20; plenty for a month of loops. ## Step 2 – Prep Arcads 1. Use the link in the description → upgrade to Pro. 2. Settings → Public API → “Get new credentials”. Save: - Client ID - Client Secret - Authorization Header ## Step 3 – Build a Local Workspace Inside Co-work prompt: ``` Create a folder on my Desktop called VibeAds, then add three sub-folders: scripts, videos, brief. ``` Add a `.env` file: ``` CLAUDE_API_KEY=your_key ARCHADS_CLIENT_ID=your_id ARCHADS_CLIENT_SECRET=your_secret ARCHADS_AUTH_HEADER=your_header ``` Create the project brain: `claw.md` (template in description). It locks in script structure, quality checklist and exact API call formats so the agent never “forgets”. ## Step 4 – Write the Product Brief Six blocks, ~10 min: 1. Product name, core claim, price, buy-link. 2. Target persona (age, pain, trigger words). 3. Real customer quotes (DMs, comments). 4. Unique differentiators. 5. Campaign goal (cold, warm, retarget). 6. Volume & format (e.g. “20 mixed-length UGC spots”). Save it in `brief/` and let Co-work echo the plan before execution. ## Step 5 – Generate Scripts Prompt (included in description): ``` Follow claw.md. Write 20 scripts, self-score ≥9.5, export JSON to scripts/, tag each with hook type, emotion and awareness level. ``` ## Step 6 – Cast Actors Next prompt: ``` Query Arcads for 4-5 actors matching my persona, save avatar URLs & IDs to videos/cast.json. ``` ## Step 7 – Batch-Render Videos Final prompt: ``` Use selected actors to produce 20 videos. Poll every 30 s for render status. When all finish, zip the folder and report back. ``` Close the lid and walk away; the agent babysits the queue. Minutes later the `videos/` folder contains ready-to-upload UGC clips like: > “My productivity system kept dragging—Notion still half-built, tasks piling up. Focus Flow AI needs zero setup; tell it your goal and it schedules your whole day. That simple.” ## Closing the Loop – Data Feedback 1. Run the 20 clips for 48 h. 2. Pull CPM, CTR, Cost-per-Result into a CSV. 3. Feed the sheet to Co-work → ask for the winning combo (hook + actor + emotion). 4. Generate the next batch using those insights. 5. Repeat 3-5 cycles → you own a self-improving, market-validated ad factory. Source: [YouTube](https://www.youtube.com/watch?v=hgtsG5zfLoY)

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