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.
Use AI to modernize the work, without throwing away its intent.
Jason Arbon CEO, testers.ai
/carbon-ai-upgrade
AIJasonAI Code ReviewAIRichardForms
You do not need to delete your Selenium suite to start using AI in
testing.
That suite may contain years of hard-earned knowledge: a rounding
rule, a forgotten permission boundary, a recovery sequence somebody
learned about from an unhappy customer. The flaky wait is not the only
thing in the file.
/carbon-ai-upgrade helps assess and modernize existing
automated or manual test assets. The useful starting point is what they
already cover, what they fail to establish, and where their maintenance
effort goes.
Upgrade the
investigation, not just the syntax
A brittle screenshot test might need better setup and stable state
before it needs an AI judge. A manual case may contain an excellent
business expectation but no reproducible data. A passing script may
click every button without checking the resulting record.
CARBON can make the intent and expected behavior explicit, identify
gaps, and convert selected assets into reusable AI-intent tests.
Existing source, constraints, and assertion meaning should survive the
conversion.
When appropriate and approved, sparse model-powered screenshot
checkpoints can add visual review at consequential states. They are not
a replacement for an exact amount, permission check, or database
invariant. Sensitive screenshots must not leave the machine merely
because a test can call a model.
Start with a small valuable
slice
/carbon-ai-upgrade assess our checkout suite; preserve business assertions, identify brittle steps, and propose changes before editing
Provider keys, external transmission, and file changes need the
appropriate authorization. Conversion is not evidence of execution;
reruns still have to happen.
The goal is a better return on the testing investment you already
made. Not a ceremonial rewrite into whichever framework sounds
newest.
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
