A simple place to start, maybe, is to use an AI system just like a search engine. e.g. Google Search. But I think this would be wrong, not because of the method but because of the results you get and how you can use them.
A google search will return a list of web pages, or sites, that match your query. You then have to dig a bit further into a place that has been written by someone who has his own opinion on this subject. You have been taken down the path set by that author and may have, by now, forgotten about all the many other pages that the search results had presented.
An AI system, on the other hand, whilst given the same input, will compile its results from many sources and do its best to deliver a comprehensive answer to your query.
This sounds like you may get an average, gray result from a black or white question.
If there is any doubt here one can edit the query and try again.
The result can be copied as plain text or sent to your Google Docs folder as fully formatted text, with text, tables and images.
Let's get started.
The image below shows the Gemini page. Three things to note :-
What is Gemini AI Then the arrow and wait for the result.
I received a 35 line text document that described Gemini as follows:-
Gemini is Google's most advanced family of multimodal artificial intelligence models.
In simpler terms, it is an AI that can understand and process many different types of information
Not just text, but also images, video, audio, and computer code, all at the same time. It serves as the successor to Google’s earlier AI projects (like Bard and Google Assistant) and is now integrated into most Google products.
What Makes Gemini Different?
The core strength of Gemini is that it was built from the ground up to be multimodal. While older AI models often converted images or audio into text first to "understand" them, Gemini can process them natively.
How You Can Use It Today
I copied the first paragraphs of this page and gave it to Gemini.
I did like the answer (I think it likes me) . Click here to see the reply
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This page was updated on
29 December 2025 by
Terry Rawkins