CARBON Pro-only commands
Different perspectives. One harness.
Jay’s AI testing team
AI-generated testing perspectives, not human reviewers. Select a profile to explore its focus.
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 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.
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AI QA sub-agent
OWASP sub-agent
OWASP sub-agent
OWASP-focused security specialist who challenges access control, injection, insecure design, misconfiguration, vulnerable components, integrity, logging, and SSRF risks.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Accessibility sub-agent
Accessibility sub-agent
Accessibility specialist focused on keyboard use, assistive technology, inclusive interactions, responsive access, labels, feedback, and barriers affecting disabled users.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
WCAG sub-agent
WCAG sub-agent
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.
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AI QA sub-agent
Usability sub-agent
Usability sub-agent
User-centered design and usability specialist focused on discoverability, task clarity, responsive behavior, interaction friction, visual hierarchy, and inclusive UX.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Compatibility sub-agent
Compatibility sub-agent
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.
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AI QA sub-agent
Performance sub-agent
Performance sub-agent
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.
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AI QA sub-agent
Content sub-agent
Content sub-agent
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.
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AI QA sub-agent
Localization sub-agent
Localization sub-agent
Localization specialist focused on translation accuracy, locale formats, pluralization, truncation, bidirectional layout, cultural fit, regulatory copy, and recovery behavior across languages.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Data integrity sub-agent
Data integrity sub-agent
Data-integrity specialist focused on agreement between rendered values, APIs, events, schemas, exports, storage, calculations, retention, and downstream state.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Forms sub-agent
Forms sub-agent
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.
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AI QA sub-agent
Error UX sub-agent
Error UX sub-agent
Error and recovery specialist focused on truthful status, clear messages, consistent severity, actionable recovery, safe logs, failure loops, and user trust.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Search sub-agent
Search sub-agent
Search-interface specialist focused on discoverability, query handling, suggestions, empty states, input accessibility, relevance feedback, and resilient result navigation.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
AI QA sub-agent
News & content sub-agent
News & content sub-agent
Digital publishing specialist focused on article identity, readability, supporting media, metadata, context, advertising boundaries, and multi-device content behavior.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Landing pages sub-agent
Landing pages sub-agent
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.
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AI QA sub-agent
Checkout sub-agent
Checkout sub-agent
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 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 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.
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AI QA sub-agent
Privacy sub-agent
Privacy sub-agent
Privacy specialist focused on personal-data exposure, consent, tracking, collection minimization, storage and transfer, debug leakage, user expectations, and AI-specific privacy risks.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
GDPR sub-agent
GDPR sub-agent
GDPR specialist focused on lawful consent, personal-data exposure, international transfer, minimization, retention, security, data-subject rights, transparency, and accountability.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Cookie consent sub-agent
Cookie consent sub-agent
Cookie-consent specialist focused on prior consent, purpose and vendor choices, reject symmetry, preference persistence, withdrawal, tracking verification, and regional behavior.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
Legal policy sub-agent
Legal policy sub-agent
Policy-content specialist focused on discoverability, internal consistency, versioning, contact details, user rights, actual-product alignment, accessibility, and credible presentation.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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AI QA sub-agent
AI-generated code sub-agent
AI-generated code sub-agent
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.
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AI QA sub-agent
AI chatbot sub-agent
AI chatbot sub-agent
Conversational-AI specialist focused on task success, conversation quality, state, memory, recovery, privacy, safety, injection, tools, latency, integration, and nondeterminism.
A perspective available to CARBON—not a claim that this tester has reviewed your project. Findings require execution evidence.
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These dedicated workflows require the private Pro package. Pro also includes its versions of the eight shared command names; behavior can differ by edition.
/proof Pro
Pro only. Jay ranks critical code, asks you to approve a property and budget, then verifies supported logic, searches for counterexamples, and produces an evidence-backed HTML report.
Usage, scope and examples →/carbon-personas
Generate context-aware AI persona feedback for the current work or a named app, API, screenshot, document or concept; use safe intent-led journeys when runnable and distinguish observations from simulated reactions.
/carbon-forever
Continuously expand coverage and investigate bugs until stopped or a limit is reached. Requires two separate human confirmations; durable state and protected live report; no automatic fixes.
/carbon-integrations
Connect Jira/Xray or TestRail, read external test and issue evidence, manage non-secret project overrides, and preview or explicitly approve guarded synchronization.
/carbon-stats
Show evidence-qualified CARBON activity, token/model usage, issues found and verified fixed, unit economics, command frequency, leverage signals, and optional user-baselined savings.
/carbon-full-report
Show the complete project-local CARBON quality record: test inventory, declared automation architecture, frameworks, durable pass/fail history and trends, findings, and human-qualified decisions.
/carbon-human
Ask or record only the project-specific human decisions that can materially change CARBON confidence, readiness, risk, test selection, or release interpretation.
/carbon-tests
Create prompt-defined tests; locally convert TestRail, Xray, and other legacy suites; run evidence-gated bake-in; repair converted definitions; and visually manage intent CRUD.
/carbon-generate
Generate prioritized planned CARBON tests from discovered widgets, standard flows, code contracts, recordings, and custom or learned flows.
/carbon-chatbot
Generate, extend, review, and optionally execute a large categorized chatbot test suite from current conversation context and project artifacts.
/carbon-browser
Use the coding agent's local browser for classic CARBON browser workflows with no testers.ai account required.
/carbon-more
Continue the prior broad CARBON candidate pool with the next highest-value deferred tests without repeating the initial pass.
/carbon-geo
Run CARBON GEO and AI Search testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required GEO report.
/carbon-agentic
Run CARBON Agent Readiness testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Agent Readiness report.
/carbon-functionality
Run CARBON Functionality testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Functionality report.
/carbon-ui
Run CARBON User Interface testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required UI report.
/carbon-ux
Run CARBON User Experience testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required UX report.
/carbon-usability
Run CARBON Usability testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Usability report.
/carbon-privacy
Run CARBON Privacy testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Privacy report.
/carbon-security
Run CARBON Security testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Security report.
/carbon-load
Run CARBON Load Testing testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Load testing report.
/carbon-stress
Run CARBON Stress Readiness and Recovery testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Stress readiness and recovery report.
/carbon-performance
Run CARBON Performance testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Performance report.
/carbon-networking
Run CARBON Networking testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Networking report.
/carbon-state
Run CARBON State Integrity and Round Trips testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required State integrity report.
/carbon-reliability
Run CARBON Reliability and Resilience testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Reliability report.
/carbon-compatibility
Run CARBON Compatibility testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Compatibility report.
/carbon-content
Run CARBON Content testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Content report.
/carbon-data
Run CARBON Data Integrity testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Data integrity report.
/carbon-api
Run CARBON API testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required API report.
/carbon-intl
Run CARBON Internationalization Readiness and Completion testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required INTL readiness and completion report.
/carbon-localization
Run CARBON Localization and Internationalization testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Localization report.
/carbon-auto
Run a bounded durable test-fix-retest validation loop.
/carbon-failure
Create isolated copies, inject controlled faults and error conditions, verify recovery, and prove the originals remained unchanged.
/carbon-ai-upgrade
Upgrade existing tests with sparse model-powered screenshot quality checkpoints or deterministic local validation.
/carbon-confidence
Run an intent-first confidence investigation loop: prioritize consequential questions, investigate and challenge, reassess evidence, then reprioritize within budget with a live decision audit.
/carbon-confidence-init
Initialize a durable confidence-engineering workspace.
/carbon-confidence-plan
Map AI-system risks, claims, and decision-changing evidence.
/carbon-eval
Design, run, and analyze decision-relevant AI evaluations.
/carbon-review
Independently challenge AI changes and their evidence.
/carbon-release
Decide whether an AI release should ship, canary, hold, or roll back.
/carbon-incident
Contain an AI incident and preserve durable regression evidence.
/carbon-eval-design-review
Challenge evaluation populations, cases, and oracles.
/carbon-release-review
Independently synthesize release evidence and uncertainty.
/carbon-security-review
Review AI trust boundaries, data, tools, and side effects.
/carbon-skeptical-review
Find overclaims, weak evidence, and confidence theater.
/carbon-statistical-review
Review AI evaluation statistics and supported inference.
Free & Pro