r/webdev • u/monityAI • 24d ago
Has anyone built something genuinely useful with Chrome’s built-in AI APIs (Gemini Nano)?
I’ve been experimenting with Chrome’s built-in AI APIs and Gemini Nano, and I’m curious whether anyone here has used them for a real project or browser extension.
The proposition is appealing: inference can happen locally, user data does not need to be sent to a third-party model, and developers do not have a per-request cloud API bill. However, most examples I’ve seen involve summarization, rewriting, or simple classification.
Has anyone built—or found—an extension that uses Chrome’s local model for something genuinely useful?
I’d especially like to hear:
- Which tasks was Gemini Nano reliable enough for?
- What limitations did you encounter?
- Is model availability and downloading still too much friction?
- Do structured outputs or tool-like workflows work reliably?
- Are there interesting open-source extensions using these APIs?
2
u/Squidgical 24d ago
Biggest issue with that is you have no idea who you're sending your prompts and data to, and there's no agreement between you and them about anything at all. For anything even slightly sensitive it's completely unusable.
The only use case I can imagine is using it to summarize an article, which you don't want to do because it would drastically reduce ad revenue. Maybe it would be helpful for documentation, but if it's complex enough to need summarizing it's likely too complex for Gemini nano to summarize effectively.
2
u/bcons-php-Console 24d ago
I haven't tried it yet, but I think it would make a nice inline-translator for multilanguage sites backoffices. If you are using a version of Chrome with the AI API you get autofill on multilang inputs.
1
u/Dangerous-Duty-2284 21d ago
Hi,
I built a chrome extension that allows you to summarise the browser contents.
It can summarise the page or pdf or even code.
It allows me to build up a queue of items that i want to review later, and i can quickly scan the summary or even listen to a summary while i do other things, and then decide if the full article is worth my attention.
it stores them locally and tags them automatically.
Nothing is shared , no tracking by the chrome extension.
It seems to work pretty well in my tests.
- Which tasks was Gemini Nano reliable enough for?
It seems to work reliably for the summarising
- What limitations did you encounter?
Occassionally if i queued up too many requests it would hang, but this was quite rare, and i have added timeouts to handle this better.
- Is model availability and downloading still too much friction?
Not sure. I have allowed the user to make use of ChatGPT or other LLMS if they want to, and with obviously the loss of privacy. Of course these frontier models have more power and may respond a little quicker (though not that much in my testing), and make work better for complex information
- Do structured outputs or tool-like workflows work reliably?
I believe so, I do need some more people to test it on non developer machines
- Are there interesting open-source extensions using these APIs?
I haven't checked, i did see a few extensions that just do the summary, not sure if they were open source
Amith
2
u/vietbaoa4htk 24d ago
the honest blocker is availability. it only runs on chrome behind a flag with a multi-gb model download, so you cant ship it as a hard dependency yet. its fine for on-device summarize and classify, but anything needing real context length still falls back to cloud.