It's an old solution to value-based taxation that's very simple and effective:
If someone declares a value, the other party can take advantage of it if it's off the mark.
So if the value is self-assessed, the state has the option to buy at that price (and vice versa if state-assessed).
This nullifies cheating without any complexity or contention required.
You won't undervalue your property to get an e.g. 30% lower yearly tax rate if that risks the other party then buying it to realize a 30% profit (and 30% of total loss for you).
I'm focusing on the annual assessment appeal. So this you need to do every year. For me this year, for the first time, they kept the assessed value low.
Zillow and others don't use the right way to look at comparable homes in the assessors and assessment appeals board view.
I could auto appeal each year for you. Right now I'm just trying to get as many people to appeal before the deadline of Dec 1st for the remaining counties.
But if you enter your address and email, then I'd run it next year and inform you.
a tool to help California home owners to lower their property taxes.
This works for people who bought in the past years low interest environment and are overpaying in taxes because of that.
Feel free to email me, if you have questions: phl.berner@gmail.com
I just tried your app and after providing my email the analysis I get is for a completely different address than what I entered. I tried twice just to make sure the address i entered was right.
thanks for the tip with two AI models. I've done that in writing coding specs. I already gave it a lot of detail about who it is. will give this a try.
Do you have an exit criteria that you can define for when the models stop picking on the other models solutions?
