Opal makes building apps simple - PDF to Chatbot
Published on Aug 18, 2026
Description:
Brady Snyder December 9, 2025
You're missing out on magic if you haven't tried out
Google's latest experiment
makeuseof.com/google-opal-best-new-vibe-coding-tool-experiment
Artificial intelligence is making software development available to almost anyone. If there's an app
you want that doesn't exist yet, you can build it with zero coding ability thanks to Google's various
AI-powered development tools. Gemini 3 Pro is Google's best model for vibe coding and
multimodal understanding, and it's rolling out across all the brand's development platforms to
make it easier for anyone to create web apps.
I've tried Gemini-infused platforms like Google AI Studio and Google Antigravity, but both of those
are technical and better suited for people who know what they're doing. For everyone else, there's
a Google Labs experiment called Opal that makes building AI mini apps with natural-language
prompts simple.
Opal makes building apps simple
It's as easy as making a shortcut or automation
1/122/123/124/12Google Opal is for software development what Weebly and Wix were for website building in the
2010s. When website builders like Google Sites and Wix became mainstream, anyone could
suddenly build a website using simple "building blocks" without needing to know the intricacies of
HTML, CSS, or JavaScript. Now, we're experiencing something similar with web app development
and Google Opal. The platform uses "chains" that connect actions to create "workflows," which
become visual web apps when put together.
The no-code interface features three essential types of building blocks: user input, generate,
output. The visual editor allows users to pick from these building blocks and string actions
together in chains with natural language prompts. There's also a chatbot at the bottom of the Opal
editor that accepts any kind of natural language prompt and can create workflows and edits on
your behalf. While you can build workflows yourself, it's not necessary.
Watch Video At: https://youtu.be/NWNNDvehBIU
For my test app, I wanted Opal to create a music recommendation tool that suggested new songs
I might like from a list of my favorite songs. Here's the prompt I used to create this Opal mini app:
5/12Create a mini app that uses web data to suggest new songs a user might like based on a list
of their favorite songs. Include the song title, artist, and cover art for the recommendations.
Provide a link to the song's entry on the Genius website if available. Use a minimalist design
similar to the Apple Music app.
After thinking, Opal created a workflow with four actions chained together. The first one accepts
user input of liked songs, the middle two actions generate song recommendations and track
details, and the final action creates the output. In the end, the mini apps mostly worked, with a few
caveats. Buttons were completely broken in the apps, slightly limiting their usefulness.
When to use Opal instead of Gemini
Opal shines with recurring tasks
6/127/128/12Opal appears to be more limited in its web search capabilities and API integrations than Google AI
Studio. I frequently ran into roadblocks when trying to build mini apps with Opal. In one instance,
Opal refused to generate cover art images for song recommendations because it wasn't allowed
to create realistic photos of people. When I tweaked the mini app to use web images of the album
art instead, the app failed to run entirely.
In fact, I experienced issues with Google's own sample mini apps. In the Generated Playlist mini
app developed by Google, the hyperlink buttons for YouTube song listings didn't work. This
mimicked the failure I experienced in my music recommendations mini-app, as Opal successfully
found Genius links for the recommendations, but couldn't make them into working buttons.
It's worth emphasizing that Opal is marketed as a tool for AI mini apps, and I think I know why. For
complex apps that require web or API access, using another development platform is ideal. Opal
is best used as an alternative to large language model (LLM) chatbots like Gemini for recurring
tasks.
Let's say you want to generate a daily weather image. Instead of entering a Gemini prompt every
day to generate an image, you can build an Opal mini app that completes the actions required
with the press of a button. Maybe you want AI to identify the top news stories of the day, or draft
client emails. Opal apps can handle these generative tasks with ease in a user-friendly wrapper
that's less of a hassle than Gemini.
9/12Related
I now use this offline AI assistant instead of cloud chatbots
Even with cloud-based chatbots, I'll always use this offline AI assistant I found.
By Jayric Maning
Sep 7, 2025
10/12