Optimizing AI Outputs

Learn how to get the best results from NeuroCron's AI features.

Context is Everything

The quality of AI output depends on input quality.

Poor: "Write an ad"

Good: "Write a Google Search ad for our project management software targeting small business owners aged 30-50. Emphasize time savings and ease of use. Professional but friendly tone. Include a free trial CTA."

The SPECIFIC Framework

• **S**ituation - What's the context?
• **P**roduct - What are you promoting?
• **E**xpected outcome - What should happen?
• **C**onstraints - What limitations exist?
• **I**nspiration - Any examples to follow?
• **F**ormat - How should output be structured?
• **I**terations - How many variants?
• **C**hecks - What to verify?

Common Mistakes

• **Being Too Vague** - Be explicit about what you want
• **Expecting Perfection** - AI is a starting point
• **Ignoring Training** - Train brand voice for better results
• **Not Iterating** - Ask for variations
• **Skipping Review** - Verify facts

Quality Checklist

Before using AI content:

• ✅ Factual accuracy verified
• ✅ Brand voice consistent
• ✅ No placeholder text
• ✅ Links and CTAs correct
• ✅ Grammar checked