Canonical: https://cogaloop.com/guides/evaluate-ai-reasoning/



# How to evaluate AI reasoning for your own task

Evaluate reasoning against a task-specific acceptance test rather than fluent prose alone. The Reasoning Machine offers linguistic, mathematical and spatiotemporal lenses for framing questions. Those lenses are an author’s conceptual framework; deciding whether a particular model is reliable still requires actual inputs, independent checks and records of failure.

## Define an observable result

“Good reasoning” is too broad to serve as an acceptance criterion. Specify the input, required output and an independent way to check it. For a calculation, retain the intermediate quantities and recompute them. For a document answer, identify the supporting passage. For a physical task, text plausibility cannot replace observation in the relevant environment.

## Use three lenses without turning them into a leaderboard

| Lens from the book | A question to ask | A possible check |
| --- | --- | --- |
| Linguistic | Does the response address the requested meaning? | Compare it with explicit requirements |
| Mathematical | Do quantities and constraints agree? | Recompute or use a suitable verifier |
| Spatiotemporal | Does the proposed action fit the setting? | Check against observations of that setting |

Use these lenses to choose appropriate checks for your task. A system may work well in one area and still need close review in another.

## Keep a failure record

Save the task, relevant model or application version, date, expected result and actual result. Include failures rather than retaining only the best demonstration. If a prompt is revised after seeing the result, record that revision. Otherwise a successful final example can obscure how much supervision was required.

## Where the book fits

Choose The Reasoning Machine for a conceptual discussion of these categories. Choose a reproducible evaluation suite when making a model procurement decision. The book’s scenes and dialogue should not be treated as records of experiments.

## Read a sample before choosing

![Original cover of The Reasoning Machine](https://cogaloop.com/images/the-reasoning-machine-480.webp)

### [The Reasoning Machine](https://cogaloop.com/books/the-reasoning-machine/?utm_source=guide)

A three-lens framework for asking better questions about AI reasoning.

Publisher-owned book. Sales support its author. [Disclosure](https://cogaloop.com/affiliate-disclosure/).

[Sample, chapter outline and limitations →](https://cogaloop.com/read/the-reasoning-machine?placement=guide&from=guide&source=guide)

Prepared with AI assistance. Updated 2026-10-24. [About our recommendations](https://cogaloop.com/methodology/).