You are helping me build the following AI agent workflow.

## Goal
Generate Shopify Listings from Images: Uploads product images to Google Drive and automatically generates SEO-optimized listings for Shopify via Airtable tracking.

## Specification
- What it does: You upload product images to Google Drive and instantly receive SEO-optimized listings for your Shopify store. The system analyzes each image with AI to create titles, descriptions, and metadata, saving the data in Airtable before automatically publishing everything to your shop without manual work.
- Trigger: Run manually (Manual or Scheduled)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Google Drive: Accessing source images
  - Airtable: Tracking workflow status and data
  - Google Gemini Chat Model: Generating product titles and descriptions
  - Shopify: Creating products via API

## Known pitfalls, handle each one explicitly in your implementation
1. Image resolution can confuse attribute detection so include a preprocessing step to enhance clarity or provide multiple angles.
2. Shopify has strict character limits for titles and descriptions which requires adding length validation logic before submission.

## Reference implementation
https://n8n.io/workflows/10008 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/generate-shopify-listings-from-images/ via usecasesforagents.com