How we review credit recovery content
again.you publishes financial-recovery content only when it has a distinct decision, supportable claims, primary sources, visible limitations, and an honest author or organizational byline.
Sources and accuracy
Primary evidence comes first
We prefer government agencies, statutes and courts, nonprofit standards bodies, credit-model owners, and issuer disclosures. Changing product terms receive a visible verification date and direct source link. We separate a sourced fact from our editorial interpretation, while the financial and legal disclaimer makes the limits of that education explicit.
Original value
A page must help someone act
A page must add a decision aid, calculation, evidence matrix, call script, timeline, comparison framework, or other practical artifact. A summary of other pages is not enough.
Authorship and AI
No invented expert
We use the honest byline “again.you editorial desk” until a named author or reviewer is genuinely responsible. The about again.you page explains the publication's purpose and claim limits. AI may assist with drafting, editing, code, and original visual production. It is not used to fabricate experience, credentials, testing, or consensus.
Product comparisons
Fit matters more than a universal winner
We do not call a product “best” for everyone. Our comparison methodology requires observable fields, visible limitations, official terms, and an explanation of who may find each structure workable. The account comparison hub keeps these product decisions separate from general recovery education. Paid placement, if ever introduced, must be labeled and cannot buy rank.
Corrections and freshness
Dates change only when content changes
Substantive changes update the reviewed date. We do not change dates merely to appear fresh. A correction should identify the affected claim, update downstream references, and preserve a record when the change is material.
Publication gate
An editor must approve every imported article
Imported material is sanitized and stored as a non-public review draft. Automated checks can flag weak structure, unsupported links, duplicate titles, duplicate descriptions, and substantially similar copy, but they cannot approve publication. An editor must verify topic fit, originality, factual support, visible limitations, metadata, and links before explicitly releasing an article to its drip schedule. A word count or passed template check never substitutes for that judgment. Any future data collection must also follow the published privacy policy before release.
Pre-publication questions
- Does the page solve a distinct recovery decision?
- Is every consequential claim supportable?
- Does the main content show original effort?
- Are title, H1, description, and anchor text accurate?
- Would the page still be useful without search traffic?
- Have financial risk, edge cases, and limits been made visible?