How We Research, Review, and Compare Software
At SELVETH LABS, our goal is to help readers make better-informed decisions about AI tools, SaaS products, and software.
Software changes quickly. Features evolve, prices change, and a product that works well for one person may not be the right choice for another.
Our editorial process is designed around a simple principle: provide useful information while being clear about how we reached our conclusions.
Our Research Process
- The research process may vary depending on the product and the type of article.
- When appropriate, we may use a combination of:
Hands-on testing and product use
Official product documentation and help resources
Current pricing and plan information
Feature and usability analysis
Comparisons with competing products
Publicly available information from relevant sources
Our aim is to understand not only what a product claims to do, but how useful its features may be for the people considering it.
Hands-On Testing
When we describe something as personally tested or based on hands-on experience, we aim to make sure that statement reflects actual product use.
Depending on the product, testing may involve evaluating the interface, completing common tasks, comparing outputs, testing selected features, or examining how the product performs in a specific workflow.
We do not intentionally describe a product as personally tested when our research was based only on documentation or other secondary sources.
How We Approach Comparisons
- Software comparisons are rarely as simple as declaring one product the winner.
- Different users have different priorities.
- One tool may offer better value for an individual creator, while another may be better suited to a larger team. A simpler product may be the better choice for a beginner, while an advanced user may prefer greater flexibility.
- For this reason, our comparisons aim to explain meaningful differences such as:
- Features and capabilities
- Pricing and overall value
- Ease of use
- Limitations
- Best-fit users and use cases
- Rather than recommending the same product to everyone, we aim to explain which option may make more sense for different types of users.
Accuracy and Updates
AI tools and SaaS products can change rapidly.
Pricing, features, plan limits, integrations, product names, and availability may change after an article is published.
We aim to review and update our content when appropriate, particularly when a change could materially affect a reader’s decision.
However, we cannot guarantee that every page will reflect every product change immediately.
Before making a purchase or subscription decision, readers should verify important details on the product’s official website.
Corrections
If we discover a meaningful factual error, we aim to correct it.
Readers and companies are also welcome to contact us if they believe information on SELVETH LABS is inaccurate or outdated.
Correction requests do not guarantee that content will be changed. We review relevant information and make editorial decisions based on the available evidence.
Affiliate Relationships and Editorial Independence
Some content on SELVETH LABS may contain affiliate links.
If a reader purchases or subscribes through one of these links, we may receive a commission at no additional cost to the reader.
Affiliate relationships may influence which products are commercially available for us to monetize, but they do not guarantee favorable coverage, a higher ranking, or a recommendation.
We aim to discuss meaningful strengths and limitations regardless of whether an affiliate relationship exists.
For additional information, please see our Affiliate Disclosure.
Our Use of AI
SELVETH LABS covers AI and also uses AI-assisted tools where they can improve parts of our workflow.
AI may assist with tasks such as organizing research, analyzing information, generating ideas, or supporting the drafting and editing process.
However, AI-generated output can contain errors.
Our goal is therefore not to treat AI output as evidence by itself. Important factual claims should be checked against appropriate sources, and content should receive editorial review before publication.
We also do not intentionally use AI to fabricate personal experiences, product tests, quotations, statistics, or research results.
Sponsored Content
If SELVETH LABS publishes sponsored content or receives compensation specifically for producing a piece of content, we aim to disclose that relationship clearly where appropriate.
Payment for sponsored content does not give a sponsor the right to present advertising claims as independent editorial findings.
Contacting Us
If you notice information that may be inaccurate or outdated, or have a question about our editorial process, please contact us through our Contact page.