How I Improved AI Output Quality 10X With One Prompting Shift

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My site: https://natebjones.com
Full Story w/ Prompts: https://natesnewsletter.substack.com/p/goldilocks-prompting-10x-your-prompt?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
My substack: https://natesnewsletter.substack.com/
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What’s really happening inside prompt engineering when you aim for “just enough” detail?
The common story is that more clarity always helps — but the reality is more complicated.

In this video, I share the inside scoop on finding the right altitude for LLM prompts:
• Why over-specifying kills creativity and burns context
• How under-prompting forces large language models to guess
• What Goldilocks prompting unlocks in Claude, GPT-5, and Gemini
• Where short, reusable prompt “slugs” outperform long instruction dumps

A balanced prompting strategy gives operators and teams more control without crushing model judgment.

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For deeper playbooks and analysis: https://natesnewsletter.substack.com/

Check the Anthropic blog post on context engineering: https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents