The evidence layer

A recommendation is only as useful as the evidence behind it.

Our method keeps verified facts, vendor claims, analysis, assumptions, and unknowns distinct.

Source hierarchy

  1. Official product documentation and service descriptions
  2. Official security, compliance, licensing, pricing, and product terms
  3. Official release notes and public source repositories
  4. Standards bodies, regulators, governments, and peer-reviewed research
  5. Independent technical analysis with disclosed methods
  6. Review platforms and community reports as supporting evidence
  7. Vendor marketing claims, clearly labeled

Every material source records

Title, publisher, URL, relevant publication or update date, retrieval date, evidence class, supported claim, and known limitations or conflicts.

What we will not do

We do not fabricate products, capabilities, integrations, prices, adoption numbers, certifications, benchmarks, roadmaps, quotations, or sources. Missing public evidence is reported as an unknown.

Research cutoff

AI products change quickly. Every report displays its research cutoff and delivery date. Time-sensitive statements are checked again before release.