Language AI Assessment Lab: Evaluation Method Demonstration

Language AI Assessment Lab is my independent specialist practice for evaluating AI products that teach or assess English. This self-initiated project shows the method and deliverables behind the launch service.

Transparent demonstration: the sample uses original AI-assisted synthetic cases and constructed system outputs. No live platform was tested, and no achieved improvement is claimed.

An assessment can sound persuasive while rewarding an irrelevant answer, overlooking an example or suggesting an incorrect correction. A useful review makes those issues visible and gives the product team a clear way to test a fix.

I structured the work around eight review domains: assessment accuracy, rubric alignment, consistency, feedback quality, level sensitivity, edge cases, robustness and pedagogical risk.

The starter bank contains 50 proposed diagnostic cases across writing anchors, controlled improvements, edge cases, feedback checks and robustness pairs. Their intended profiles and expected behaviours require specialist review before a paid audit. They are not presented as a validated proficiency benchmark.

Each finding records the test case, relevant AI output, applicable criterion, learner consequence, recommendation and acceptance test.

For example, a constructed output claims that a response contains no examples even though it explicitly describes double-sided printing and refillable soap dispensers. The acceptance test requires the feedback to acknowledge those examples before recommending further development.

An eight-domain evaluation framework and operating protocol.

A private 50-case starter bank with evidence checks and controlled pairs.

An audit workbook with reference review, execution records and findings.

A 12-page demonstration report with clearly labelled simulated outputs.

Five public diagnostic examples and a defined commercial audit service.

For a paid engagement, I confirm authorised access and scope, review and freeze the reference judgements, execute the agreed tests and record actual outputs. Findings are limited to the tested cases and configuration. Stronger validity, fairness or inter-rater claims require a separately designed study.

The launch audit is USD 950 for 30 cases and 50 planned executions, delivered within 10 business days after the agreed start and receipt of the required access and information. It includes the findings report, evidence workbook, acceptance tests and a 45-minute walkthrough.

View the AI Writing Assessment and Feedback Quality Audit service, or contact me on Contra with your product link and the writing feature you want reviewed.