pancomplex

Rookie mistake clearly..

True!

In my experience it was too slow to do an FPS with 30 ticks per second reliably. It gets killed too fast.

Working on it :)

Frontier reasoning models do pretty well in Pokemon: https://github.com/benchflow-ai/pokemon-gym

The interesting thing here imo is the cost and latency. So far we're at 4 badges for less than $0.5

People need to be live streaming their AI more!

Jev can't come up with original text, but I did consider giving it a list of hilarious names.

Thank you!

Very much agree with the sentiment here - I actually even wrote a blog post about this specific issue lately. There's an entirely separate issue of AI slop ruining well-defined clean applications: https://frigade.com/blog/easier-to-build-not-easier-to-use

Yes for sure. We actually use the map we build of the UI + the questions people ask to automatically identify product gap patterns. These are the presented in a dashboard where you can use these insights to improve the product itself.

I'm considering adding a feature to include auto punctuation and capitalization. Would that solve it for you?

Sorry about these issues - appreciate all the details. Are you on an Intel Mac by any chance?

Apple's built in dictation still executes parts of it online and even has a disclosure that it "sends information like your voice input, contacts, and location to Apple."

This project uses the on-device SpeechAnalyzer API directly and makes zero network calls, and since it's open source you can verify that nothing leaves your Mac.

Thank you for this feedback! Heard from other folks the menu bar is redundant too - will kill it in the next update and fix the F13 issue.

And interesting re: history - it does have the option to clear, but you’d want that as a setting?

Trying to keep the amount of settings to a minimum - personally finding it overwhelming when apps have too many bells and whistles lol

Totally! I honestly think so many frontier AI models will be running locally in the future. This is just the start.

It's a great name. Glad someone else thought of something similar!

I think it once did! Now it doesn't - ways to easily verify this:

1) install the dmg in the GH repo

2) turn off wifi

3) use it offline

That would be a super trivial fork actually! You basically just need this file https://github.com/FrigadeHQ/yap/blob/main/Sources/Services/... and then wrap a cli around it :)

I don't think you're missing something - Apple's built in dictation is pretty good. The biggest issue is that it still executes parts of it online via Apple's servers and even has a disclosure that it "sends information like your voice input, contacts, and location to Apple."

This project uses the on-device SpeechAnalyzer API directly and makes zero network calls, and since it's open source you can verify that nothing leaves your Mac. It also keeps a local searchable history. Finally, I also added press-to-stop with a preview so you can cancel a bad take before it inserts, instead of typing live (very useful in terminal).

What type of package were you hoping it was?

Thanks for linking! I've used both Apple's and Parakeet locally for a while and haven't been able to spot the difference in quality and speed is better on Apple's model (+ doesn't take several gigs of memory). Have you noticed any quality differences anecdotally?

My bad - this is now fixed. Thank you!

Luckily no. The calls are executed client-side just like they would if you were using the UI.

We only do this with consent from the application owner - the use case is typically companies who don’t have an AI agent yet who want fast path to get one.

This is the process we usually do: https://frigade.com/how-it-works

This works for non-authenticated sites but wouldn't work for anything behind a login wall that requires a JWT or similar - right?

Yup just another user account. It can work without this as well (we support ingesting other resources such as help center articles, pdfs, etc.) but at that point it's no different from any other (dumb) AI chatbot out there that just spits out a bunch of itemized bullets.

Even with an API spec it wouldn't "just work". You'd still need to handle authentication and have a place to manage which APIs you want the in-app agent to have access to / when to call a given tool.

And believe it or not, even big companies with big eng teams don't have API specs available for their applications ¯\_(ツ)_/¯

We can either replace an intercom widget entirely or do a hand off with context to a live intercom chat agent.

Here's a more thorough explanation of how it works under the hood: https://frigade.com/features/skills

Agreed - and especially when the API changes..

We use a browser-based agent to learn all the APIs and turn them into skills. Most users will run this in a staging/test account to create all the recipes/blueprints. Our agent is also instructed to not take any destructive actions - but of course LLMs make mistakes (hence the test account :) ).

You can see more about how it works in detail here: https://frigade.com/how-it-works