Pillar · Iro AI Blog
Prompt Engineering: Patterns That Survive Model Updates
The transferable prompt patterns that work across ChatGPT, Claude, Gemini, and Perplexity — and survive every model upgrade.
Pillar · Iro AI Blog
The transferable prompt patterns that work across ChatGPT, Claude, Gemini, and Perplexity — and survive every model upgrade.
Prompt engineering has a branding problem. It sounds like a dark art of secret phrases. It is not. Good prompting is just clear specification — telling a model who it should be, what you want, what it needs to know, and what the output must look like.
The phrases that trend on social media stop working the moment a model updates. Patterns do not. A pattern is a reusable structure for organising a request, and the same handful of patterns work across ChatGPT, Claude, Gemini, and Perplexity.
This pillar teaches prompting as a transferable skill you can drill. Start with the core patterns, then practise combining them in Iro AI's Prompt Lab until the right structure for a task becomes automatic.
Iro AI turns ideas like the ones in this post into 5-minute exercises with feedback. Free tier, Pro from $0.96/week ($49.99/year, 7-day free trial).
Yes — more than ever, but not as a list of magic phrases. The durable skill is specifying a task clearly enough that any model can do it well. That transfers across every assistant and every model upgrade.
Rarely. The same patterns work across ChatGPT, Claude, Gemini, and Perplexity. You tune details — Claude is strong at self-critique, Perplexity at grounded research — but the structure stays the same.
Role-Goal-Constraints: tell the model who to be, what to achieve, and what the output must do or avoid. See the 7 prompt patterns for the full set.