Common AutoAGC mistakes and how to avoid them: a beginner's guide
New users often make avoidable mistakes when starting with AI image generation. Here are the most common ones and how to prevent them.
**Mistake 1: Vague Prompts**
- Problem: 'Generate a product image' — the AI has no direction and results are unpredictable
- Fix: Include product name, material, color, angle, background, and lighting in every prompt
- Example: 'Stainless steel water bottle, matte black finish, 45-degree angle, white marble countertop background, soft studio lighting'
**Mistake 2: Ignoring De-AI Processing**
- Problem: Raw AI images often have visible artifacts (repetitive textures, unnatural hands, plastic-looking surfaces)
- Fix: Always enable de-AI processing, especially for images that include models or complex backgrounds
- Check: Zoom to 100% and look for: repeating patterns in backgrounds, unnatural skin textures, deformed hands/fingers
**Mistake 3: Not Using Reference Images**
- Problem: Text-only prompts lead to product deformation (wrong proportions, missing details)
- Fix: Always upload your actual product photo as a reference. AutoAGC uses this to maintain product accuracy while generating new scenes
- Benefit: Product colors, proportions, and details stay true to the real product
**Mistake 4: Generating Only One Image**
- Problem: Accepting the first generated image without exploring alternatives
- Fix: Always generate 4-8 variations and choose the best one. AI generation has randomness — some variations will be significantly better than others
- Pro tip: Generate variations with slightly different prompts to explore different creative directions
**Mistake 5: Ignoring Platform Requirements**
- Problem: Using the same image for all platforms, resulting in rejections or poor performance
- Fix: Use AutoAGC's multi-platform export feature to generate platform-specific versions:
- Amazon: pure white background, 2000×2000, no text
- Shopify: scene background, 1500×1500
- Social media: vertical format, lifestyle scene
**Mistake 6: Not Quality-Checking Before Publishing**
- Problem: Publishing AI images without review, leading to customer complaints about inaccurate colors or misleading visuals
- Fix: Always check these before publishing:
- Product color matches the real product
- No garbled text on product labels
- Product proportions are correct
- No visible AI artifacts
- Background meets platform requirements
**Mistake 7: Over-Stuffing Prompts**
- Problem: Writing 300-word prompts with every possible detail, confusing the AI
- Fix: Keep prompts focused — 50-80 words covering the 6 key elements is sufficient
- Prioritize: Product accuracy > scene quality > creative flair
**Mistake 8: Not Using Style Presets**
- Problem: Each image looks different, creating an inconsistent catalog
- Fix: Create a style preset for your brand and apply it to all products
- Benefit: All images share consistent lighting, background, and color grading
**Mistake 9: Using Copyrighted References**
- Problem: Uploading competitor's photos or branded images as references
- Fix: Only upload your own product photos. Use text descriptions to specify style preferences instead of copyrighted reference images
**Mistake 10: Ignoring Post-Processing**
- Problem: Treating AI output as final, without any editing
- Fix: Budget 5-10 minutes per image for basic post-processing:
- Color correction to match product
- Background cleanup
- Logo/text addition
- Resolution and format export
**Quick Start Checklist for Beginners:**
- [ ] Upload clear product photo as reference
- [ ] Write focused prompt with 6 key elements
- [ ] Generate 6 variations
- [ ] Enable de-AI processing
- [ ] Select best variation
- [ ] Do basic post-processing
- [ ] Check product accuracy
- [ ] Export in correct platform format
- [ ] Final quality review at 100% zoom
- [ ] Save successful prompt as a template for future use
