Deepseek style reasoning models effectively design small prompts from your initial prompt and assess the result of their small prompt and use this to update their next question effectively breaking the task down into small chunks and then assessing the result before moving onto the next chunk.
Reasoning Models solve problems better, while LLMs are more focused on content generation. BAT process has less need for the LLM model since we are doing the “reasoning” bit with our software.
BAT is not intelligent, but rather it is reasoning. The “reasoning” bit with our software… means, for instance, does this document contain a signature?
The first part of that question really should be “Does this document require a signature?”
and if yes, then lets look at the end of the document.
Is it there?
If no… then let us open up the window and look at all the document. Is it there?
If no…then our final answer is that this document does need a signature and it cannot be found.
BAT FILECHECKER AI – THE FUTURE OF COMPLIANCE POWERED BY AI