How recommendations are made

Recommendations should consider use case, quality, reliability, price, features, compatibility, support, total ownership cost, and available customer feedback.

Evidence labels

• Owned / used: equipment actually available for firsthand documentation.
• Researched: evaluated using current documentation and reputable third-party information.
• Manufacturer specification: a claim drawn from the manufacturer and presented as such.
• Editorial recommendation: our judgment based on the evidence and stated use case.

What we will not do

• Fake firsthand experience.
• Mass-publish thin AI articles.
• Hide commercial incentives.
• Recommend unnecessary products merely to create commissions.