AI Disclosure

Submitted content may be evaluated by models from Anthropic, OpenAI, Google, and xAI against the same eight-emotion basis. The system normalizes the model reads, reports the median as consensus, and treats model divergence as information rather than hiding it.

A result describes how the submitted artifact was read under a defined method at a point in time. It does not establish the creator's intent, diagnose a person, determine whether a statement is true, or guarantee how a real audience will respond. Model updates and context can change outputs.

Use the result as one input. Material decisions require human review, source context, and an appropriate appeal path. Do not use the service as the sole basis for high-impact decisions about employment, housing, credit, insurance, education, healthcare, legal rights, or access to essential services.

Content sent for scoring is transmitted to the model providers needed for that feature. Do not submit regulated or highly sensitive data without a separate agreement. See Privacy and Subprocessors.

If a result appears materially wrong, preserve the input, result, model/version information if shown, and context. Send it to trentonmcnelly@gmail.com. A correction request is evidence for review, not a promise that every interpretive disagreement has one objectively correct answer.