Make the evidence match the claim
A headline and summary should describe what the study actually establishes. Recommendation coverage must not become an unqualified claim that a provider is the cheapest, safest, best, or most likely to approve an application.
Distinguish the AI output, externally sourced facts, and editorial interpretation. If a conclusion goes beyond the underlying evidence, qualify it or leave it out.
Write for readers making consequential decisions
Explain the research measure before asking readers to rely on it. State relevant dates, keep labels close to numbers, and make qualifications easy to find. A borrowed statistic or provider statement needs sufficient context to avoid changing its meaning.
Where costs appear, distinguish an initial quote, a written estimate, and the total charges in the contract. Examples should not be represented as personalized offers. Missing data should be described plainly.
Clear responsibility and corrections
Readers and providers can report factual errors. A correction should address the evidence at issue without using a complaint as a reason to favor a provider.