The task matters more than the brand
An evaluation starts with what the user needs to accomplish, not with product popularity or the length of its feature list.
The Letomix method
How we evaluate AI services and digital tools
There is no universal test for every kind of product. But every article should begin with a clear task, record the relevant conditions, use verifiable evidence and keep the conclusion within boundaries the reader can understand.
Core principle
We are not looking for one absolute winner
The same service can be an excellent choice for one task and a poor fit for another. A conclusion therefore belongs to a scenario and a set of conditions.
Conditions matter more than a polished result
Product version, plan, settings, device, source material and check date can all change the outcome.
A recommendation needs boundaries
We aim to explain both who a tool is for and when an alternative—or no tool at all—would be the better choice.
A good tool is not the one with the longest feature list. It is the one that solves the required task with acceptable effort and understandable trade-offs.
That is why Letomix avoids context-free rankings and conclusions that sound more certain than the available evidence allows.
Criteria
What we look at
The criteria depend on the category. An AI model, a browser utility and a work platform require different tests, while the underlying logic remains consistent.
Usefulness of the result
Whether the product solves the stated task and whether the output is usable for the next stage of work.
Ease and speed
How many steps are required before a useful result and whether the interface is understandable without lengthy training.
Limitations
Which quotas, formats, watermarks or technical requirements affect practical use.
Price and real value
What is available for free, what requires payment and whether the cost makes sense for the scenario.
Data and privacy
What data the service requests and what can be supported by its privacy policy or technical inspection.
Alternatives
Whether a simpler, cheaper or better-suited option can solve the same task.
Important: listing a criterion here does not mean every article contains a full laboratory-style test. The article itself should make clear what was checked directly, what was verified through sources and what remains a preliminary conclusion.
Evidence
What supports an evaluation
We separate practical observation, first-party information and external evidence so an assumption is not presented as an established fact.
Direct checks
When access is available, we record the scenario, settings, source material, result and any visible errors or limitations.
Official documentation
Pricing, quotas, system requirements, usage rules and data claims are checked against material published by the service.
Reliable external sources
Relevant independent sources are used for standards, research, security questions and broader industry context.
Process
How a tool is evaluated
The order can vary by product, but these six stages form the foundation of the Letomix method.
Define the task
State the result the user needs, who the product is for and which constraints matter from the start.
Record the conditions
Note the date, version, plan, device, settings, source material and expected outcome.
Try different cases
Use ordinary and more difficult scenarios so one polished example does not become the basis for a general claim.
Verify external claims
Check prices, quotas, rules, compatibility and privacy statements against official sources and available technical evidence.
Study failures
Weak results remain in the notes because they reveal product boundaries and may point to a better alternative.
Recheck changing facts
Time-sensitive facts are reviewed before publication and after material product changes. Dates are not changed merely to look fresh.
Transparency
The reader should know the level of verification
Not every service can be fully tested. Access may be limited by region, plan, device or a closed release, and that limitation should not be hidden.
Checked directly
The conclusion is based on hands-on use under the conditions described in the article.
Verified through sources
The fact is supported by official documentation or another relevant primary source.
Not tested directly
The limitation should be stated and the conclusion written cautiously, without imitating a hands-on test.
Editorial boundaries
What we try not to do
The method is not meant to create an appearance of scientific precision. Its purpose is to reduce unsupported claims.
Do not copy marketing claims
A manufacturer statement does not become a fact simply because it appears on several pages.
Do not hide weak cases
A failed result can be more useful than an ideal demo when it reveals a real limitation.
Do not generalise from one example
A single test demonstrates one result; it does not prove universal product quality.
Do not imitate a full test
If a product was studied only through documentation, the article should not sound like a report of long-term use.
Do not refresh the date for appearance
The date changes after a meaningful review, not to create the impression of permanently new content.
Do not sell the editorial conclusion
Advertising or affiliate status does not guarantee a positive result, placement in a list or the removal of criticism.
Editorial independence
Commercial relationships do not change the method
Letomix may display advertising and some third-party links may be affiliate links. Such relationships should be disclosed and do not give a service the right to approve a conclusion, remove material criticism or purchase a place in a ranking.
Related pages
More about the principles behind Letomix
The evaluation method works alongside the editorial policy, transparency rules and a clear route for reporting errors.
Project
About Letomix
Why the site exists and what kind of problems it aims to help solve.
AuthorMark Leto
Who prepares the content and the approach used in the work.
EditorialEditorial policy
Rules for facts, opinions, corrections and commercial relationships.
FeedbackReport an error
Flag an inaccuracy, a pricing change or information that is no longer current.
From method to practice
Look beyond the score and check the conditions behind it
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