We often assume that to solve a complex problem like AI hallucinations, we need an equally complex solution. We look for bigger models, more compute, and deeper neural networks.

But at IfThenWhy, we’ve been asking a different question: Is it possible that the smartest way to handle AI is actually the simplest?

We recently put our Logic RFC™—a straightforward, data map files architecture—to the test using the industry-standard RAGAS Faithfulness metric. We wanted to see if a deterministic "Logic DNA" map could outsmart the tendency for AI to drift into "hallucination territory."

Data is just a bunch of strings and integers until you capture the logic behind it. Whether it comes from a database, a flat file, or an API, the metadata is what makes it make sense.

The IfThenWhy Field Explorer is a library of those metadata fields. Check out the fields below and submit your own feedback if you have ideas on how to improve them.