This is interesting. I'm curious how you calibrate it. I've found that sometimes AI is very confident about being able to do something (or not do something), and I've had to pick its response apart a bit to see what the real answer is. Are you getting accurate results with one pass?
This is helpful. Right now I'm managing all of this myself, which requires a lot of thoughts and organization. This would simplify things. Does it give you the ability to create your own sections so it is customizable to the person/project?
I think you can be non technical, but that does not mean just blindly trusting AI. And it will probably take you WAY longer to get it correct. You still have to know (or figure out through iteration) what questions to ask, what edge cases might exists, etc. But I also think building things with AI, if you really lean into it, can be a great way for people without a technical background to learn.
That's really the catch, and I think we're just figuring out how to approach this. I think your iteration approach is correct. I do a lot of asking AI to tell me about blind spots, to double check it's work in specific ways. I've asked it to let me know what it might have hallucinated, where it cut corners, and a bunch of other things along these lines. It will be interesting to see how things evolve in this area, and if AI gets good to the point that we have to do this less.
This is great! I find myself using Gemini to double check Claude, idea being that they are different models so can be force multipliers/sanity checks for one another
I think building something really well with AI takes a lot of work. You can certainly ask it to do things and it will comply, and produce something pretty good. But you don't know what you don't know, especially when it speaks to you authoritatively. So checking its work from many different angles and making sure it's precise can be a challenge. Will be interesting to see how all of this iterates over time.
I like this a lot An interesting next iteration would be to add a functionality that evaluates a user's work for inefficiencies and suggests where they can improve cut cost. Might be outside the scope of your project, but it could be interesting.
I think this is a really cool concept. Sharing thoughts on a few things that could strengthen it. After I read the report (which was really cool) and went into the "the record" section, I couldn't figure out how to get back to the report. I wanted to run this for other members of my family to share with them, but couldn't figure out how to get back to the birthday selection input field. Also, at the end of the AI generated summary, it thought it was 2024 and then later in the paragraph 2023. It was also a little tricky to navigate back and forth between windows and figure out what each one was for. Good luck with this, it has a lot of potential!
I love that this app goes beyond typical "bucket list" items and has some really unique and specific ideas. It's great for a person who has traveled a lot, done a lot, and seen a lot, and is looking for some revitalized ideas and inspiration. Thank you!
I wish you luck! This is a clever and creative approach. I feel like we are inching towards on device solutions and I love seeing people work the problem like this.
I love the idea of this. Twitter used to be the go to place for real time community knowledge, but the algorithm has started pushing content that I don't want. I would love to be able to tailor it more to my needs. How are you addressing the on-device option? I'd definitely be most interested in using this in a way that doesn't send information to external servers. Thank you!