Offer, counteroffer and tools development.

Here's a fun project that I worked on for the last hour that helped me generate a better offer on a house I'm trying to buy.

I made an offer last week on a house based on comps analysis that I asked my GPT to make for me. Two days ago, I received a counteroffer. I wanted to make sure that I put some math behind my counteroffer to ensure that I'm getting the return I want based on rehab estimates and local analysis.

This morning I started with my offer letter, the seller's counteroffer, and the comps that I made last week. I then asked PromptComboy to write a prompt for me, which I've made on a previous post, to help me estimate rehab costs.

I then asked my GPT to take my previous offer, the comps it generated, the rehab costs it generated, and provide me with an estimated:

Cash on cash return
Total return
And Incorporate tax details into a concise report that I can evaluate.

Once I had that, I asked my GPT to generate a counteroffer, incorporating all of these details, but to maintain a minimum of 35% total return so I could make an offer to the seller and still maintain my profit margin.

I've included the PDF that my GPT created to help with my decision point.

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