If you’re asleep by then, you miss the chance to resume right when it resets. The script is just a workaround to automatically pick up where you left off as soon as the quota is restored.
I think I'm faster with Claude Code overall, but that's because it's a tradeoff between "it makes me much faster at the stuff I'm not good at" and "it slows me down on the stuff I am good at". Maybe with better prompting skills, I'll be faster overall, but I'm definitely glad I don't have to write all the boilerplate yet again.
you mean another wrapper ?
There are a lot of low hanging fruit that can be tackled. From helping people stay focused to managing household schedules. I honestly don't even think the product has to be SaSS, a 16GB VRAM GPU, or a well equipped MacBook, can do everything with locally.
It is part of the learning curve discovering that making a non-deterministic system act deterministically based on some vague instructions is actually pretty difficult.
https://en.m.wikipedia.org/wiki/Probably_approximately_corre...
I'm not sure what this means; what exactly is an AI assistant SaaS? There are plenty of wrappers around LLMs that you can use, but I'm guessing that a wrapper around (for example) the ChatGPT or Claude API isn't what you had in mind, right?
Can you explain?
Yeah, well it would be the next major step towards human irrelevance.
Or at least, for developers.
The really nice thing about it is that I gave it memory, so a lot of these behaviours are just things you teach it. For example, I only programmed it to be able to read my calendar and add events, and then told it "before you add an event, check for conflicts" and it learned to do that. I really like that sort of "programming by saying stuff" that LLMs enable.
I'm looking forward to seeing where this experiment goes, email me if you want access/want to discuss features. I don't know if I'll open it up to everyone, as LLMs are costly, but maybe I could do a "bring your own key" thing.
Feel free to email me (email in profile) if you'd like to try it out. Right now it only does weather and Google Calendar, but adding new integrations is easy and the interesting thing is the fact that it can learn from you, and will behave like a PA would, while also being proactive and messaging you without you having to message it first.
I did make a prototype a while ago, which I integrated with a hardware device, and that was extremely useful, being able to do things by me teaching it. For example, it only had access to my calendar and its memories, but I told it (in chat) to check for and notify me of conflicts before adding an event, and told it the usual times of some events, so then I'd say "I'm playing D&D on Thursday" and it would reply with "you can't, you have an appointment at 8PM". This sounds simple for a human, but the LLM had to already know what time D&D was, that it's something I can't do during appointments, and that I wanted to be informed of conflicts, which are all things that I didn't have to program, but just instructed the LLM to do.