01
Test the task
Start with a customer action that matters, not a broad claim about the whole website.
About ViaLayer
Built to answer one practical question.
Can an AI agent complete the customer task your website is supposed to make easy?
What we do
Evidence, not assumptions.
ViaLayer is an independent Agent Readiness service for local and regional service businesses. We test practical tasks on public websites, document what happened, and distinguish repeatable failures from uncertain results.
When a confirmed issue needs correction, ViaLayer can implement an approved fix or prepare a developer-ready specification for the team already responsible for the website. The task is then tested again against the original acceptance criteria.
ViaLayer is not an SEO score, a generic website review, or a promise that every AI system will behave in the same way. It is a bounded, point-in-time evaluation of whether defined customer tasks can be completed.
Why it exists
A website can look finished and still be hard for an agent to use.
Traditional checks are useful, but they do not always show whether a modern AI agent can understand business details, navigate a customer path, and reach the intended outcome.
02
Show the evidence
Record the path, outcome, repeatability, and limits so the result can be reviewed.
03
Verify the correction
Use the original task and acceptance criteria to check whether an approved fix worked.
Working principles
Clear boundaries make the work more useful.
Evidence before certainty
Claims are tied to observed task runs and supporting records, not a single impression.
Uncertainty stays visible
Timeouts, inconsistent behavior, and unclear evidence are reported rather than forced into a pass or fail.
Responsible testing
Testing is scoped, non-destructive, and stopped before financial, legally binding, or irreversible actions unless explicitly authorized.
Corrections require re-testing
A change is not treated as resolved until the relevant task has been run again.
See how the method works.
Review the testing process, confidence labels, limitations, and responsible-testing boundaries.