B-Maker Explained

AI + versionsSafe experiments

Why create a new version before a significant AI rewrite?

Because AI is most useful when you can test an alternative without silently replacing the answer you already had.

Comparison of text versions in B-Maker
The workflow

Original → new version → AI experiment → comparison → author decision.

Direct replacement hides the cost of the experiment

An AI rewrite can sound smoother while deleting context, examples, ambiguity, rhythm, or voice. If the result immediately overwrites the working text, the comparison becomes dependent on memory.

A version makes the experiment explicit

Name it “AI shorter pass,” “Alternative opening,” or whatever describes the hypothesis. Now the experiment has a boundary and the original remains a stable reference.

Compare outcomes, not impressions

Which examples disappeared? Did the passage actually become shorter? Did the new wording add generic language? Did the model solve the problem you asked about while creating another one?

Screenshot: AI experiment as a versionShow two named versions of one passage: “Original” and “AI shorter pass”, then the comparison view with additions/removals visible.assets/img/bmaker/bmaker-explained-ai-version-01.webp

You are not required to choose one whole version

The experiment may contain one useful sentence and ten worse ones. Versioning lets AI produce material without turning acceptance into an all-or-nothing decision.

This is the deeper reason for integration

The interesting feature is not “there is AI.” It is that AI can participate in an editorial workflow where state, comparison, and authorship remain visible.

Why AI inside B-Maker · Why versions exist