Advanced Two-Step Prompting Strategy for Nano Banana Pro Thumbnails

This actually has one more sneaky level of usage. Have it systematically organize things once → then use that as the basis to produce the deliverable / dig deeper into the point Just doing this makes the output quality seriously different, like night and day. Why? Because when you first have the AI build a "blueprint" in its head — things like "terminology," "criteria for judgment," "things to avoid," "templates/patterns," "priorities" — the next instruction gets generated in line with that blueprint, so it's less likely to drift off course. For example, if you want Nano Banana Pro to make a thumbnail, ① First have GPT-5.2 organize it by saying: "Thoroughly research the best practices for prompts to create thumbnails with Nano Banana Pro, and systematize them. Include common failure patterns too." ② Then, after that, have it build a prompt incorporating your own requirements, like: "Based on the system we just built, create a prompt for making a YouTube thumbnail with Nano Banana Pro on the theme of {argument name="theme" default="◯◯"}. The video's content is like this, and I want to include the phrase {argument name="phrase" default="こういう文言"}." Then feed the finished prompt into Nano Banana Pro. It becomes dramatically easier to get exactly the output you're aiming for. If you just suddenly ask it to "make it" every time, the AI produces something off the cuff, so you get hits and misses — but having it build the map (the system) first is powerful. And this method works for everything — side-hustle strategy, sales copy, video scripts, all of it. The versatility is insane. Before having the AI do the work, having it first organize how to make a good deliverable, and then having it think based on that — I seriously recommend this. By the way, the thumbnail that came out of this was the third one. The first attempt was mediocre, so I had it systematize how to make an attractive YouTube thumbnail too before building the prompt.