Lesson 659 of 1596
Meta-Prompting and Self-Critique: AI That Improves Its Own Output
Static templates are predictable and cheap. Generated prompts adapt to context. The decision shapes maintenance burden, quality, and team workflow.
Creators · Prompting · ~24 min read
The premise
Templates and generators are different tools with different trade-offs; deliberate choice matters for production maintainability.
What AI does well here
- Use templates for stable use cases with predictable inputs (fewer variables, lower iteration cost)
- Use generators when input distribution varies widely (different customer types, industries, intents)
- Maintain both with clear ownership — bad templates and bad generators both fail silently
- Test changes to either against your eval suite before production deployment
What AI cannot do
- Eliminate prompt maintenance with either approach
- Substitute generation sophistication for the underlying use-case clarity
- Make generators reliable without strong evaluation
Key terms in this lesson
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