Features
Capability, depth, useful differentiation and how complete the product is for its intended job.
The Lorezi standard
How Lorezi evaluates AI software.
A structured framework for understanding capability, usability, performance, value and practical fit—without turning the decision into a popularity contest.
Evaluation dimensions
The score is the summary. The evidence is the decision.
Lorezi uses structured dimensions to make products comparable, then uses reviews, profiles and comparisons to explain the trade-offs behind those numbers.
Performance
Reliability and effectiveness when the product is used for the workflows it claims to support.
Ease of use
Onboarding, workflow friction, interface clarity and the effort required to reach a useful result.
Value
Price in context: what the product delivers, who benefits and whether lower-cost alternatives change the decision.
Review process
From product facts to editorial judgment.
The framework is designed to keep factual information, evaluation and commercial relationships distinct.
Research
Establish product identity, pricing, platforms, capabilities and relevant use cases.
Evaluate
Assess the core dimensions and identify strengths, limitations and practical fit.
Compare
Place the product against relevant alternatives when the useful question is which option better fits the job.
Maintain
Update the intelligence layer as products, pricing, positioning and the market change.
Editorial independence
Commercial relationships do not buy a positive rating.
Affiliate links, sponsorships or paid placements may support Lorezi. Where applicable, they should be identifiable and remain separate from the underlying editorial evaluation and recommendation framework.