AI-generated testing perspectives, not human reviewers. Select a profile to explore its focus.
AI
AI QA sub-agent
Jay
AI test manager
Modeled on Jason Arbon’s approach to testing: start with the customer’s intent, follow the consequential risks, challenge the evidence, and make the next useful action clear. Jay is an AI persona inspired by Jason Arbon, not Jason himself. His visual identity is a distinctive J-shaped character, not a human portrait.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
AI
AI QA sub-agent
Security sub-agent
Security sub-agent
Web-application security specialist focused on authentication, authorization, session safety, exposed data, dependencies, and practical vulnerability evidence.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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
AI QA sub-agent
Shopping cart sub-agent
Shopping cart sub-agent
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
AI QA sub-agent
Pricing sub-agent
Pricing sub-agent
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.
Four deterministic scenarios demonstrate how CARBON moves from changed code to risk, test selection, observed failure, repair verification, and an honest remaining unknown.
Demonstration, not a measured product result. The scenario and timings are scripted so the CARBON workflow can be evaluated consistently.
CARBON found edits around payment confirmation, retry state, and cart persistence.
Why this test?
A failed payment crosses UI, API, and stored state. A happy-path checkout would not exercise the new recovery branch.
Expected
A timeout preserves the cart and allows one safe retry.
Observed
Waiting for execution evidence.
The important moment is not the red failure. It is CARBON explaining why it selected a consequential edge, preserving the observation, verifying the repair, and leaving the next unproven risk visibly unresolved.