I have came up with a new word! – its definition is asking multiple LLMs the same question to get a better or more informed answer or solution!

PolyQ short for PolyQuery !

(outline body summarized by chatgpt)

I wanted to throw out a concept I’ve been working on that I think deserves its own name:

PolyQ → “poly” (many) + “Q” (queries)

It’s the practice of asking the same development or problem-solving question across multiple large language models (LLMs) — like GPT-4, Claude 3, Gemini, etc. — and then synthesizing their answers to reach a stronger, more validated solution.

We’re no longer in the era of using just one AI.
We’re stepping into the age of:
✅ Cross-model querying
✅ Synthetic consensus building
✅ Developer-as-orchestrator, not just AI user

This feels like a second-generation shift in how we approach development —
where the developer intentionally leverages multiple synthetic minds in parallel
instead of relying on a single answer.

I’m calling it PolyQ — and I think it’s going to become a core part of future workflows.

Anyone else already doing this? Thoughts on the term or practice?