varg-dropship-reel
Dropshipping guide reel
One template, a new product every day. Built from four @tradelle reels (Sept-Oct 2026, 56-64 s, 1080×1920) that share the same skeleton and almost the same voiceover; only the product, the prices and the hook change.
| Beat | Time | Picture | How we make it |
|---|---|---|---|
| Hook | 0-13 s | The product in action: real-looking phone or security-cam footage | varg-product-hook (Seedance 2.5 from product photos) |
| Price math | 13-27 s | Laptop, hand with a marker points at cost, sell price, demand chart | Real screenshots on a green-screen desk photo → Kling 4 adds the hand (or film it) |
| Steps | 27-53 s | The same desk and the same app UI in every shot, the pen walks through each screen | Same, one shot per screen |
| CTA | 53-60 s | Night skyline through an apartment window, iPhone look | Wan 3 or Seedance 2.5 once, reuse forever |
Captions: 1-2 words at a time, bold uppercase, white with a black outline, prices and keywords in lime, at 60 % of the height. Voice: one flat, confident male narrator, about 2.6 words per second, no music or a very quiet bed.
Generation runs on varg: the varg-ai skill (REST at https://api.varg.ai/v2) or the varg MCP server (https://mcp.varg.ai/mcp: call_tool, get_job, estimate_cost, create_upload). Every call returns a job; poll GET /v2/jobs/{id} until completed, the file is at output.outputs[0].url. Image-to-video jobs took 5-10 minutes in our test; one text-to-video job waited about an hour in the queue. Start them all at once and do the next step while they run.
1. Ask once, then go
Collect: the product (store or supplier link, 1-3 photos), cost price and sell price, which tools the steps name (the research tool, store builder, AI ad tool, supplier: the ones you're an affiliate of, or your own store), the CTA keyword (default GUIDE), and the language.