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.
Connect performance measurements to the task people are trying to finish.
Jason Arbon CEO, testers.ai
/carbon-performance
AITariqPerformance
The page loaded quickly on the developer's laptop with six records.
The customer has sixty thousand.
Performance problems often hide behind a mismatch between the tested
conditions and the actual work.
/carbon-performance combines available measurements with
source-aware investigation of latency, rendering, resource use, memory,
and degradation. It is a focused way to ask where the experience gets
slow and why.
Measure the task, not
just the first paint
A dashboard may appear quickly and freeze when someone filters it. A
search request may be fast while client-side processing dominates the
wait. A view that opens well once may retain resources after repeated
visits.
CARBON can examine the relevant implementation and exercise available
scenarios, keeping the data size, environment, warm-up, and measurement
method attached to the observation. Repeated comparable measurements are
more informative than one impressive number.
Avoid inventing a benchmark
/carbon-performance investigate filtering and repeated navigation in the local dashboard; use representative synthetic data and record the conditions
Source inspection can identify a likely hot path without proving it
is the measured bottleneck. A local test cannot establish production
capacity. Deliberate load needs its own approved scope and limits.
The report should connect the delay to the user's task, show the
evidence behind the diagnosis, and identify a useful verification after
the change.
The goal is not a screenshot of a perfect score. It is finding where
the product wastes someone's time and giving the developer a credible
place to start fixing it.
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
