How Miser Tools Works

The pipeline, in order

Your inputs are validated, normalized into consistent units, run through deterministic calculations specific to the decision type, scored across a handful of weighted dimensions, checked for sensitivity (which inputs matter most, and what value would flip the result), and only then — optionally — explained in plain language. AI, where it's used at all, only touches the very last step.

Why AI never picks the winner

Every number in a Miser Tools result — the score, the confidence, the recommendation itself — comes from deterministic code that produces the identical output for identical inputs, every time. AI is capable of sounding confident about things it's actually uncertain about, which is exactly the wrong property for the part of a tool that decides what you should do. AI's only role is to explain a result that already exists, using only the numbers that result already contains — never to invent a number itself.

It's willing to say 'I'm not sure'

Most calculators always return a confident-looking answer. Miser Tools has explicit result states for when a comparison is genuinely too close to call, when there isn't enough information to say anything useful, or when your stated priorities are the actual deciding factor rather than the raw numbers — because manufacturing false confidence in a close call isn't more helpful, it's just less honest.

What it doesn't do

It doesn't fetch live market data, crime statistics, salary surveys, or company reviews — every number in a result either comes from you or from a documented, disclosed assumption. It's not financial, legal, or medical advice for any decision, high-stakes or otherwise.

Try comparing a decision of your own.