Automating product content generation with AI sounds great in theory, but requires careful planning to avoid costly mistakes.
The Pipeline
- Product Data Input: CSV or API with SKU, basic specs, category
- AI Processing: GPT-4 generates descriptions following brand guidelines
- Image Generation: DALL-E or Midjourney creates product mockups
- Human Review: Critical—never skip this step
- Auto-publish: WooCommerce REST API creates product
Lessons Learned
Watch API Costs
GPT-4 isn’t cheap. For 1,000 products with detailed descriptions (500 tokens each), you’re looking at ~$20. Add image generation and costs multiply quickly. Use GPT-3.5-turbo for drafts, GPT-4 only for final polish.
Prompt Engineering Matters
Generic prompts = generic output. Provide examples of your best product descriptions, specify tone, length, and key selling points. Include “avoid” lists (no superlatives like “revolutionary”).
Always Include Human Review
AI hallucinates. It will invent features your product doesn’t have. A simple review workflow prevents embarrassing (and potentially illegal) false claims.
Implementation
Built with Node.js, OpenAI API, WooCommerce REST API. Processing queue managed with BullMQ. Review dashboard in React with approve/edit/reject workflow.