You are helping me build the following AI agent workflow.

## Goal
SEO Blog Generator for Shopify: Pulls product images from Shopify, extracts nutrition data via GPT-4o, generates SEO blog posts.

## Specification
- What it does: Get SEO-optimized blog posts for your Shopify products by having this agent pull images, extract nutrition data with GPT-4o, and generate structured HTML articles automatically. It tracks progress in Google Sheets to prevent duplicates and publishes the final content directly back to your store.
- Trigger: Run manually (Manual · on demand or Scheduled)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - Shopify: Fetch product data and publish blogs via API
  - OpenAI Chat Model: Extract nutrition info from images and generate blog content
  - Google Sheets: Track creation status and prevent duplicates

## Known pitfalls, handle each one explicitly in your implementation
1. Image splitting can lose context between chunks so ensure the LLM receives a summary of the whole image before detailed analysis.
2. HTML formatting errors can break the Shopify theme so sanitize all output using a strict HTML validator before publishing.

## Reference implementation
https://n8n.io/workflows/4735 (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/automated-seo-blog-generator-for-shopify/ via usecasesforagents.com