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ProductDescAI — product copy in three lengths, every catalog spot covered.

App: /apps/productdescai/ Cost: 2 credits per product Time: 5 min · ships .md pack

A real product page needs five surfaces of copy: short caption (grid view), medium (product page hero), long (storytelling body), 5 bullet specs, and SEO meta. ProductDescAI ships all five from one brief — so a single product is one paste, not five.

1

Open ProductDescAI

Go to /apps/productdescai/. Sign in at /portal/ if needed.

2 credits per product. Plus's 75/month = 37 products. If you're seeding a new catalog, packs are cheaper per product after ~40.

2

Brief the product: facts first, vibe second

The form takes:

Tip — paste your existing best product's copy as the brief. If you've already written 1 product page you love, paste that as the brief. ProductDescAI extracts the vibe + structure and applies it to the new product. Faster than describing your voice in adjectives.
3

Read the 3 length cards

LengthChar countUse this for
Short~80 charsGrid views, product cards on category pages, Shopify "short description" field.
Medium~200 charsProduct page hero / above-the-fold paragraph. The one most shoppers read.
Long~500 charsStorytelling section, "About this product" block, body content under the hero.

Each card shows the exact char count so you can sanity-check before pasting into a length-restricted field.

4

Grab the bullets + meta pair

Below the 3 length cards, you get:

These are the surfaces that get the most SEO leverage but the least love. Don't skip them.

5

Use the cross-app handoffs

Every length card has handoff buttons for:

6

Export the full pack

Hit Export as Markdown for all 5 surfaces in one .md file. Useful for:

When ProductDescAI isn't enough

What's next? Most stores set up a workflow where every new product = one ProductDescAI brief + ImageGen hero + BrandCheck spot-check before publishing. That's a ~5-credit workflow per product. After ~30 SKUs you'll have a clear sense of which length card converts best for your store — use that learning to brief future products tighter.