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.
Generate useful user perspectives without pretending you interviewed customers.
Jason Arbon CEO, testers.ai
/carbon-personas
AIMiaUsabilityAIYukiLanding PagesAIFatimaError UX
You know what the page is supposed to mean. You built it. That makes
you a difficult person to surprise.
A first-time buyer has a different problem. They want to know what
happens after they click. An experienced user wants to finish quickly.
Someone interrupted halfway through wants to recover without starting
over.
/carbon-personas brings those different goals into the
review, inside your AI coding agent.
Start with the work in
front of you
Run the command while working on a feature, or point it at a
screenshot, document, API, or proposal. CARBON uses the available
context to choose relevant perspectives and realistic intentions. You
can specify the audience yourself.
This is more useful than a collection of fictional biographies. Each
persona needs a task, a starting point, and a reason that their
perspective might expose something important.
Get feedback, not theater
For a runnable, authorized target, the agent can attempt safe
isolated journeys and record what happened. For a screenshot or
document, it reviews the artifact and labels its reactions as simulated
interpretations. It does not invent clicks or claim to have measured
customer satisfaction.
The report keeps positive details, confusion, friction, meaningful
surprises, and proposed improvements together with their evidence. When
two personas want different things, that disagreement stays visible.
Sometimes the product decision is a tradeoff, not a bug.
Try a specific assignment
/carbon-personas this pricing screenshot; first-time buyer and procurement reviewer; review only
You get a branded HTML report and a written account, with the most
useful themes summarized in chat. A concern can become the next test. An
unresolved business assumption can become a question for a person.
AI personas are not customer research. They are a convenient way to
challenge your own perspective before asking real people to spend
theirs.
Install CARBON at testers.ai/carbon for a supported
coding agent such as Claude, Codex, or Cursor.
