FluidityIQ ranks documents by meaning, not by matching strings, so the words you leave out of a query shape the results as much as the words you put in. The single biggest lever on result quality is how you translate a claim or an invention into a query: what you keep, what you strip, and how you split it. The answers below give explicit query-construction rules, then show how those rules shift across freedom-to-operate, novelty, and invalidity work.

This Quick Start Guide provides high-level guidance to help users get the most out of the platform. This guide may link you to deeper support articles in order to avoid repetition. More helpful information can be found by visiting the Learning Center by clicking on the “question mark” icon in the upper right of the screen once logged in.

FluidityIQ's Deep Research Agent transforms a set of patent search results into a working research environment — one where you can interrogate a curated corpus of patents, draw on the full breadth of academic literature, and generate structured, citable reports through natural conversation. Whether you are conducting a novelty assessment, mapping a competitive landscape, or exploring the academic foundations of an emerging technology, the agent gives you a research partner that works at the speed of your questions.