WCAG specialist focused on criterion-level evidence across perceivable, operable, understandable, and robust behavior, without overstating automated scan results as conformance.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Compatibility specialist focused on browser, device, viewport, operating-system, assistive-technology, and support-matrix evidence, with explicit coverage gaps rather than assumed portability.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Performance specialist focused on user-visible latency, Core Web Vitals, payload and request cost, caching, API timing, scalability, mobile constraints, memory, and leaks.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Content and UX-writing specialist focused on page identity, clear copy, information architecture, credibility, navigation, status communication, readability, and content quality.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Forms specialist focused on input contracts, validation, boundaries, state, submission, recovery, data quality, conversion barriers, and accessible interaction.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
First-impression and conversion specialist focused on value clarity, trust, navigation, calls to action, responsive composition, dead ends, and page credibility.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Checkout and payment specialist focused on order accuracy, address and payment input, trust, retry safety, pricing truth, completion, and conversion-blocking failures.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
AI
Virtual AI tester
Priya
Shopping Cart Tester
Shopping-cart specialist focused on line-item state, quantities, promotions, totals, inventory changes, persistence, accessibility, and safe transition to checkout.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
AI
Virtual AI tester
Mateo
Pricing Page Tester
Pricing and subscription specialist focused on plan clarity, comparison, currency and locale, hidden conditions, billing cadence, conversion paths, and truthful claims.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
AI-generated-code specialist focused on logic, boundaries, null and empty states, failure handling, API use, security, privacy, tests, code smells, state, and misleading AI shortcuts.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
Give the agent a goal, not a script that reveals every answer.
Jason Arbon CEO, testers.ai
/carbon-usability
AIMiaUsabilityAIFatimaError UX
A test script that says “click the small gear, choose Advanced, then
select Export” has already solved the usability problem for the
tester.
The customer does not arrive with that script.
/carbon-usability investigates learnability,
comprehension, efficiency, and realistic task completion. The useful
starting point is what a person wants to accomplish and what they
plausibly know.
Watch the search for the
next step
Ask a first-time team member to share a read-only report. Do the
labels explain the permission? Can they find the action? Do they know
whether the link is private? Can they undo a mistake?
An AI-led persona can attempt the journey and record ambiguity, wrong
turns, unnecessary work, and successful guidance. Those observations
provide specific hypotheses to improve and test. They are not a
substitute for measured behavior from actual customers.
Source knowledge can make an agent unnaturally informed. A useful
investigation acknowledges that advantage and avoids calling a
source-assisted attempt an independent first-time-user study.
Give it a believable role
/carbon-usability attempt report sharing as a first-time team member; do not use source knowledge until diagnosing observed friction
The report should preserve the intended task, starting knowledge,
actions, confusing moments, and outcome. Improvements then have
something concrete to address.
This is an inexpensive way to challenge an interface while it is
being built. It does not measure universal ease of use.
The question is simple: did the product help someone find their way,
or did our test instructions quietly do that work for it?
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
