PickCrest.

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Editorial Policy

PickCrest’s editorial process begins with a reader’s practical decision: what a product is for, what must be compatible, and which trade-offs matter. The current starter library is unpublished until it has been reviewed by the owner. This policy describes the workflow implemented for the site, not a claim that every planned article has already completed it.

Research and product selection

Start with the task and selection criteria. Use the exact product model and primary manufacturer documentation when adding specifications. Record sources and unresolved questions in private editorial notes. Check affiliate destinations and keep any necessary image-license record.

A product must not be described as tested unless hands-on use actually occurred and the article documents the scope and limitations. Research-based recommendations must identify their basis. There is no claimed product-testing laboratory or fictional editorial staff.

Review before publication

The publishing dashboard lists drafts and open quality checks. An editor reviews facts, usefulness, image permissions, disclosures, links, and metadata. A ready-for-review label is a workflow state; it is not a published endorsement or proof of completed fact-checking.

Promotions and corrections

A promotional claim needs source notes, a verification date, an expiration date, and a valid merchant destination. Codes require a recorded basis for permission to distribute them. The site checks expiration at render time and does not describe a coupon as guaranteed.

If an offer cannot be verified, promotional copy is hidden. Old promotions may be replaced with clearly separated evergreen context. Errors should be corrected when identified, with material changes explained where appropriate. Contact details appear on the Contact page once configured.

Affiliate relationships and tools

As an Amazon Associate I earn from qualifying purchases. Affiliate links can support the site, but do not establish that a product is suitable for every reader. A useful recommendation should explain limitations and who might choose differently.

The initial drafts were prepared with AI assistance and require human editorial review before publication. AI-generated text is not evidence of product specifications, testing, current prices, or promotional availability.