Problem:
Most people treat prompt engineering like magic spells. Then blame the model when the output sucks.
Core Insight:
You don’t need clever phrasing—you need clarity. Better prompts come from understanding what the model needs, not what you want.
- 🧠 Start with structure: context → intent → constraints → tone.
- 🔧 Treat the model like a junior dev, not a genie.
- 🛠️ Write prompts like a system spec, not a social post.
Full article:
📎 Prompt Engineering: Asking Better Questions
✍️ Jaren Cudilla – EngineeredAI.net
🛠️ Chaos Optimizer. Builder. Blogger.
🧠 AI without the BS. No fluff, just signal.