A specification before the prose
Every worked example and practice question begins as a structured specification: the skill, the expected answer, the format, the level and the teaching constraints. That specification is what gets checked and stored.
Verified answers and facts
Language models write fluently but can state a wrong answer with confidence. CoPressAI separates the two. Each question starts as a structured specification, the answer is verified against it, and the AI writes the wording around a result it cannot change.
Every worked example shows its verified answer. Problems such as a coverage gap or a diagram that does not match the text are raised as issues, so nothing reaches print unchecked.
Chapter 3 · Lesson 3.2: Build understanding
Every worked example and practice question begins as a structured specification: the skill, the expected answer, the format, the level and the teaching constraints. That specification is what gets checked and stored.
Where an answer can be worked out, trusted code works it out. Where it depends on facts, it is checked against your approved sources. AI output is never run as code, and if the wording and the verified answer disagree, the block is flagged rather than published.
A separate review reads the finished question as a learner would and checks that it leads to the expected answer, with no ambiguity in the wording or the visuals.
Each subject is set up with its own curriculum, rules and checks. Content outside a configured subject is labelled for specialist review rather than presented as automatically correct.
CoPressAI is in its pilot phase with selected publishers. Features are released to pilot workspaces in stages; your demo shows exactly what is available today.
CoPressAI is built for any subject and level. Each subject is configured with its curriculum, house rules and checks, and is tested before it is used.
It is written with its evidence shown and clearly labelled for review by a subject editor. CoPressAI does not claim it has been verified.
Each verified publisher gets 20 000 platform credits to plan a book and generate a sample lesson in a private workspace.