Research and testing
Inspect the evidence behind the tools
Terbit publishes dated operational checks, methods, limitations and corrections so visitors can judge what the tools do—and what they cannot establish.
Our evidence standard
Useful product information should be reproducible and specific. We identify the input, the date, the decision being tested and the conditions that would make a result fail. Observations are kept separate from marketing claims, and a fluent output does not pass when it changes a protected fact or hides uncertainty.
These notes are first-party product evidence, not independent academic validation. Small checks reveal behaviour worth reviewing; they do not prove universal accuracy. High-impact decisions still require primary sources, qualified reviewers and evidence from outside an automated tool.
Live tool verification log
Five dated production checks with exact inputs, observed outputs, pass criteria and limitations.
Evidence noteAI-detector review method
How we assess uncertainty, false-positive risks and proportionate human follow-up.
Evidence noteHumanizer before-and-after
A worked editorial review that separates clearer wording from invented specificity.
Evidence noteWriting-tool selection
A repeatable framework for comparing tools by task, error cost and review needs.
Maintenance cadence
We repeat relevant checks after material prompt, model or workflow changes. Dated records remain visible so a visitor can distinguish a current observation from an evergreen explanation. Material corrections are recorded in the changelog.