If you have a DMSH election in place for the tax year and the total expenses allocable to the HVAC subsystem are more than $2,500, you would capitalize.If there is no DMSH election in place, you'd apply the betterment, adaptation, restoration (BAR) tests to make an expense vs capital expenditure determination.Either way, if the allocable costs are capitalized, my firm takes a partial asset disposition for the old system, which helps.

Unfortunately, due to Covid-19 we all have to adapt to the constantly changing environment.

We have had success with gradual rent increases (so the tenant can adapt) along with clear communication about what tenants can expect in the future (market rate rents). 

We as humans can and will evolve to adapt to our new realities and I'm confident that we will get out on the other end stronger and greater than ever before.

This will be going on for a while so we might as well just adapt. 

It saves money and it makes it so you can adapt to situations as they unfold without having a stake in the ground.

As an educator who is adapting to "remote learning" I am also trying to connect with more folks digitally, because a single guy with a dog living in an upper duplex currently while I understand the importance, shelter in place sucks.Here are some details on the deal:The former owner was a hoarder and had let the home fall into rather rough shape. 

Most are citing fears for the near future, which is why I am turning to BP to see how people are getting around this - changes to underwriting, not buying at all, whatever you all are doing to adapt.  

However, based on the data you have there could be a lot of use cases to streamline that process.A great resource for data is using an API, I like realtor API for information on multi-family properties - https://rapidapi.com/blog/best-real-estate-apis/.Benefits of ML:- Removes the manual effort of filtering and searching- Can find patterns in large sets of data- Adaptable to changing environments- Results in actionable insightsSome ML use cases:- Prediction - Identify a home's value price based on a dataset of comparables (similar to zillow's zestimate).

No direct personal contact, however, we all will adapt.