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.
Start with the implementation, then use a deliberately bounded workload.
Jason Arbon CEO, testers.ai
/carbon-load
AITariqPerformance
A load test should not begin with “let's see what happens if we send
a lot of requests.”
It should begin with the product's workload, the likely bottlenecks,
the allowed target, and a clear stopping condition.
/carbon-load can inspect code and server configuration
read-only before any deliberate load is generated. Unbounded queries,
connection limits, synchronous work, and expensive paths provide
hypotheses worth investigating.
Turn a real journey into a
workload
With approval, the agent can record a browser journey and its network
traffic, then propose a replay workload. A useful replay handles
user-specific data, authentication, and dependencies rather than sending
the same captured request forever.
Multiple users need isolated identities and meaningful variation.
Secrets and personal information should not become fixtures in a shared
load script.
Execution starts small and increases only within the reviewed limits.
Target ownership, workload shape, request ceilings, duration, and abort
conditions need explicit approval.
Inspection is useful
evidence of risk
/carbon-load inspect the local search implementation and deployment configuration read-only; propose a bounded workload, but do not generate traffic yet
The report must distinguish a static bottleneck hypothesis from a
measured failure. A generated script is not an executed benchmark. A
successful local workload does not establish production capacity.
Where execution is approved, correctness matters alongside
throughput. Returning incorrect data quickly is not a performance
success.
AI can reduce the work required to form and adapt the experiment. It
does not remove the responsibility to keep that experiment from becoming
somebody else's outage.
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
