This post is not for everyone.  And, no, that isn’t a marketing/copywriting trick to instantly make you more interested.

In case you missed it in the title (or you don’t know what it means), this is mainly for when you access Gemini models through the API.  That means if you use the Gemini app (gemini.google.com or the mobile app) these tips are not going to apply to you. Honestly, they might...

This is another example from Google’s Gemini 3 API docs. I feel like the average user doesn’t read through that kind of documentation so you’ll miss these nuggets of prompting wisdom. And even if you do read through them, maybe you need the reminder (I know that I usually...

This prompt template is technically for Google’s Gemini 3 model but I think that it is relevant for many other models.

If you read through Google’s Gemini API docs then you have probably already seen most of what will be in this post.  After thinking about it, most people don’t read through Gemini’s API docs and, I would guess that, a lot of people don’t even know what API docs are.

Looks like a pretty good deal if you qualify.  

Some of these may be hard to accept (or you may not accept them), but I’ve found that the faster I’ve accepted them, the faster I’ve been able to level up my skills with these tools.

If you are past the stage of starting to use genAI tools like ChatGPT, Gemini, Claude, etc., and you want to work towards getting outsized returns on your time, then this post is for you.

Most people that use AI tools have figured out that the tools can create more content faster than a human can.  The people that are getting the best returns on their time are creating systems that can be repeated and scaled.  They combine human and AI resources.  

True to the name, these are some quick tips to think about when using AI chatbots to help you get better output: