5 No-Code Tools I Built in Google AI Studio (With Prompts)

I built a plant doctor, sentiment analyzer, curriculum translator, and 2 more tools in Google AI Studio. No code needed. Full prompts inside so you can copy them.

Dec 18, 2025

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I posted a poll in my chat on Monday and “building everyday products with Google AI Studio” won for this week’s article. So here we are.

Now, what you should know first about Google AI Studio is that it works best for quick prototypes you can share with other people.

I’ve tested it across multiple types of projects over time. It’s not even close to as capable as Lovable or other vibe-coding tools like Cursor, Bolt.new, Claude Code, or Google’s own Antigravity. Which means you can’t use it for complex apps.

But it sits in a specific spot in Google’s growing AI toolkit. It’s one of 36 tools I covered in my complete guide to the Google AI ecosystem.

And you can still use it for smaller projects meant to help you on a day-to-day basis or quick prototypes. Like the website scraper tool I shared in this guide.

For most of us, that’s all we need sometimes. A small tool to avoid a subscription we’d barely use. A mini app for a repeatable process so we stop prompting the same thing over and over.

And this is exactly what we’re going to do.

Google AI Studio is one of many tools Google has built around Gemini. For a full walkthrough of Gemini itself and everything inside the chat, here’s my complete guide.

So today, we’re going to dive into:

A quick overview of Google AI Studio: what it is and what you can do inside it, plus the cost advantage it has over other vibe coding tools
When building in Google AI Studio makes sense and when it doesn’t
The AI capabilities you can power up your apps with
5 apps I built with it (for personal use and work) and the prompts I used: a curriculum translator, a news aggregator, a plant doctor, a sentiment analyzer from reviews, and a virtual stylist

Let’s begin.

What you can do in Google AI Studio

When you go to Google AI Studio, you will notice there’s multiple things you can do inside it:

1. Build apps

This is what we’re going to dive into today.

Google AI Studio lets you prototype app-like experiences. You can generate code, preview it instantly, and share working demos without setting up a full development environment.

It’s not just an AI playground. It’s closer to lightweight app prototyping with a lot of Gemini built in.

When to use it: Great for smaller apps and experiments. Creating a small interactive app with logic you can change quickly, seeing how different AI capabilities behave inside an app, and mostly when the goal is “let’s see what happens if…” rather than “this needs to be production-ready.”
When not to use it: For anything that resembles a more complex product. Things that need a proper backend or database setup, user accounts, permissions.

You can push it pretty far for prototypes. But it’s not a shortcut to production. At least at this moment in time.

2. Chat with Google AI Models and test capabilities

You can chat with Google AI models in the playground or test Google’s AI capabilities (which I’ll list in the next section).

But for chatting, you can just use Gemini directly. So why bother coming here?

As a massive tester of AI tools, I use Google AI Studio when I:

Finish my Nano Banana Pro quota in Gemini.

It’s happened to me a few times. I create too many images testing the models, exceed the quota, and have to wait for the next day. Which I don’t want to do. So I go to Google AI Studio to continue.

(You’re unlikely to run into this issue if you’re a more casual user of AI.)

Worth noting: the images you create in Google AI Studio don’t have the watermark you see in images generated in Gemini.

Test prompts before using Gemini API in a project.

When I’m attaching Gemini API to an automation or product, I come to Google AI Studio to test the prompt first.

Why? Because testing it only in the regular Gemini app will get you different results.

The way models work as user-facing products (like Gemini, ChatGPT or Claude) is different from how they work when you use them through their APIs. The API is a much more raw version, if you will.

I’ve battled with these differences in quality between API vs. chat interface for all the AI products I built this year.

If you’re curious why they behave differently, here’s a pretty clear explanation from Google AIO:

But that’s a different topic we won’t tackle here. Still, useful to know for your future AI project builds.

Finally, Google AI Studio is also the place to get your Google AI API key in order to use Gemini in your projects.
Just like I guided you to use in many of my n8n workflows or Google Apps Script automations, which allow you to work with Gemini in different projects.

The cost advantage

Unlike many no-code or prototyping setups (Lovable, Cursor, etc.), Google AI Studio doesn’t force you into a paid plan just to experiment.

When it’s free:

Building and testing inside Google AI Studio (though there are some limits)

When you pay for usage:

Using the API key inside the projects you build in Google AI Studio when you exceed the free limits (you’ll see a popup asking you to connect one)
Deploying a project (putting it live as a finished product for others to use)
Using the Gemini API key in projects outside Google AI Studio (like an n8n automation or an AI-powered chatbot you create elsewhere)

Still better than committing to a monthly subscription.

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Building apps with Google AI Studio

Now let’s get into the actual building. I’ll walk you through how to get started, the AI capabilities you can use, how it connects to other Google tools, and what the building interface looks like. Then we’ll dive into the examples.

Getting inspiration

First, to get inspiration, I always like to check what others have created. All these AI building tools have some sort of gallery, and Google AI Studio has one too:

From the gallery you can immediately see creations categorized in multiple ways: Nano Banana, games and visualizations, GenApps with video, etc.

AI capabilities you can build with

Looking at the AI capabilities also gives you ideas of what you could build in Google AI Studio:

Voice & Audio: Chatbots (fast and slow), speech to text (like transcribing audio), text to speech (so it can create voices in your apps, narrate stories, or respond with voice rather than text), full voice apps
Images: Nano Banana-powered apps for generating or editing images (like a product mockup generator or thumbnail creator), image analysis (like extracting text or describing what’s in a photo), aspect ratio controlling
Video: Animating images (turning a still photo into a short clip), analyzing and understanding videos (like summarizing what happens or extracting key moments), video generation
Web Data: Google Search data (so your app can pull real-time search results), Google Maps data (for location-based apps or finding places nearby)

And all kinds of AI-powered apps where Gemini can complete all sorts of tasks.

Connecting to other Google tools

Google has a ton of products, including Google Labs experiments which I kept sharing in my Ahead with AI series.

This means you can connect things you build in Google AI Studio to other tools in the Google ecosystem.

Xinran Ma actually showed how to combine the UI you create in Stitch (a Google tool that helps you create UIs) and then build the actual app in Google AI Studio in one of his articles, so you can check it out.

Today I won’t dive into that. Instead, I’m focusing on building those small everyday products inside Google AI Studio, without external tools.

The Building interface

When you arrive at the building screen, it looks much like any chat interface since this is how vibe coding works. But there’s more possibilities:

Settings: You can go to settings and change the AI model you’re using. You can also add System Instructions that will guide the AI when building with you. (Much like a CustomGPT or Gem works, if you want. Not exactly, but the analogy might help.)

Other features:

You can upload files
You can dictate instead of typing the prompt
And for even more inspiration, you have the “I’m feeling lucky” feature. When clicked, it populates with ideas and shows the tools used to make them happen. Pretty cool to get you started.

Now… time for the fun part!