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.
Turn code, screens, and product promises into a prioritized test plan.
Jason Arbon CEO, testers.ai
/carbon-generate
AIRichardFormsAIJasonAI Code Review
Ask an AI for a hundred tests and it will usually oblige. The harder
question is why those hundred tests belong in your product.
/carbon-generate uses the available project context to
build test candidates: code, requirements, screens, discovered controls,
APIs, and user journeys. CARBON's control and flow knowledge supplies
starting points, not a substitute for understanding the feature.
A username is not just a text
box
A one-digit value may be valid in a quantity field and invalid as a
username. An emoji may be accepted, rejected, normalized, or stored
incorrectly. The test needs an expectation grounded in the product's
contract, not a universal assumption that unusual characters are
bad.
The same applies to length boundaries. A browser limit, server
validator, database column, and transport encoding may disagree. Source
inspection can turn those disagreements into specific cases instead of
an arbitrary “very long string” exercise.
Each useful candidate explains the setup, inputs, expected behavior,
evidence needed, and risk that motivated it. Positive, negative,
boundary, timing, and recovery cases earn their place through
relevance.
A plan is not a result
/carbon-generate account creation; use the actual username and password constraints; prioritize cross-layer boundaries and recovery
The generated suite should be easy to inspect in HTML and durable
enough to reuse. But it remains planned coverage until executed. A
hundred generated cases do not mean a hundred behaviors were
verified.
That distinction makes generation more valuable, not less. You can
inspect the reasoning, correct the assumptions, and spend execution time
on the cases most likely to tell you something important.
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
