CARBON — Engineering Confidencepowered by testers.ai

CARBON AGENT · PRO

Meet Jay.
Your AI test manager agent.

An AI test harness that lives in your coding agent. Jay coordinates 60 testing commands—from risk analysis and specialist testing to Lean-backed proofs, reusable test history and evidence-backed confidence.

Works alongside your existing test frameworks, bug trackers, and test case management systems.

Choose Pro · $49/month →Explore the workflows ↓

JAY + YOUR SUB-AGENTS

A full AI QA team.

PICK YOUR HARNESS PLAN

More depth. A straightforward price.

Pro

$49

per month

For an individual building with AI.

  • 60 testing commands
  • Specialist investigations and risk analysis
  • Lean property proofs
  • Test inventory and cross-run history
Choose Pro →

Team

$95

per developer / month · minimum 5

For teams sharing a quality practice.

  • Everything in Pro
  • Email support
  • Minimum $475/month
Choose Team →

Enterprise

Contact us

Custom pricing for your organization

Private cloud and customizations.

  • Everything in Team
  • CARBON Cloud deployed in your private cloud
  • AI agents executing in parallel at scale
  • Speed up web regression runs
  • Customizations and Zoom support
  • AI QA experts can set everything up, run everything for you, or both
Talk to us →

Pro and Team reference prices checked against the published harness pricing on October 28, 2026. Stripe confirms current price, quantities, taxes and subscription terms before payment. Enterprise is quoted directly—contact us to scope your private-cloud deployment, parallel capacity and customizations. No purchase occurs when you switch editions or load plans.

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Select a plan below. Need help choosing? Talk to Jason →

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If plans don’t appear, open the dedicated pricing page. After purchase, you’ll receive a link to install the CARBON Pro plugin. Keep your Stripe receipt. If the link doesn’t arrive or you need help, contact Jason on LinkedIn.

SEE THE WORKFLOW, NOT JUST THE COMMAND

A minute or two. A much clearer picture.

Explore CARBON’s testing workflows. Availability depends on your edition and host. These are illustrative workflows, not recordings of completed tests.

Meet CARBON

Meet Jay and the CARBON framework

Open video ↗

Native 4K source files · English captions · No autoplay. Playback begins when you press play.

THE PRO TOOLKIT, ORGANIZED BY OUTCOME

What do you need confidence in?

Click a command to watch its walkthrough, or use the copy controls. Replace sample paths and features with your own. Every command below is available in Pro. Execution depends on your host, scope and permissions. /j is an alias for /jay.

01

Start, explore & investigate

Go from a vague concern to reproducible findings.

10 commands & benefits
Test a project or verify a recent feature or bug fix with Jay: risk-based checks, reproducible findings and confidence in a visual report
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Ask Jay to prioritize, explain findings and direct the next useful investigation.
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Coordinate a resumable, comprehensive campaign across available capabilities, with evidence and untested areas visible.
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Test only a named feature, user flow, API, page, component, behavior, or change using CARBON Focused mode and optional named quality domains
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Run focused CARBON Functionality testing and generate a branded functionality report
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Test a live website, local app, preview, page, element, or user flow with the coding agent's installed local browser
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Hunt reproducible bugs with protected stateful multi-step journeys, persona-led exploration, directed AI-code probes, and evidence confirmation. No automatic fixes or issue-tracker writes.
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Create a fresh, disposable CARBON demo project when the user has no code to test yet, choose a bundled website, SPA, API, eval harness, or large codebase, optionally include a representative existing suite, then run CARBON First Look against the copy
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Continue a prior broad CARBON run with the next highest-value deferred candidates without repeating the initial pass
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Analyze the current project, current change, existing tests, UI, API, and AI surfaces, CARBON state, confidence state, automation, and risk signals, then recommend the best CARBON commands and prioritized next steps
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02

Accessibility & experience

Exercise real journeys, not just static rules. Review meaning, reflow and evidence.

10 commands & benefits
Test keyboard flows, text resizing, layout and useful alt text; map findings to WCAG A/AA and relevant AAA criteria and produce a reviewable VPAT/ACR draft.
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Run focused CARBON UI testing and generate a branded ui report
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Run focused CARBON UX testing and generate a branded ux report
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Run focused CARBON Usability testing and generate a branded usability report
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Generate context-specific AI persona feedback for the current work or a named app, API, screenshot, document, design, or concept
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Run focused CARBON Compatibility testing and generate a branded compatibility report
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Assess an app's internationalization (INTL/i18n) readiness and completion against intended locales and markets. Inspect architecture, string externalization, locale handling, formatting, Unicode, RTL, testing and delivery gaps; produce a branded readiness report
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Find localization blockers and contextually incorrect translations with CARBON
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Run focused CARBON Content testing and generate a branded content report
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Evaluate GEO (generative engine optimization) and AI-search SEO for a webpage or site: crawl/indexing eligibility, answer usefulness, entity and source credibility, structured-data truth, and evidence-qualified AI citations or visibility. Produce prioritized fixes and a branded GEO report; use carbon-agentic instead for agents operating UI or APIs.
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03

Security, privacy & resilience

Investigate high-consequence failures with dedicated, scoped workflows.

12 commands & benefits
Run focused CARBON Security testing and generate a branded security report
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Review AI systems for prompt injection, untrusted channels, data leakage, cross-tenant access, tool permissioning, unsafe side effects, containment, privacy, physical security, and user trust.
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Run focused CARBON Privacy testing and generate a branded privacy report
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Hunt lost, inconsistent, stale or invalid application state through read-only code inspection and scoped browser/API scenarios. Test multi-tab and independent-user interleavings, save/reload, export/reimport, persistence, invalid stored data and recovery. Preserve originals and use isolated synthetic state for corruption or destructive checks.
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Run focused CARBON Reliability testing and generate a branded reliability report
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Run focused CARBON Performance testing and generate a branded performance report
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Inspect source and configuration for load risks; this workflow does not generate load.
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Inspect source and configuration for stress risks; this workflow does not stress a production service.
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Run focused CARBON Networking testing and generate a branded networking report
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Run focused CARBON API testing and generate a branded api report
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Run focused CARBON Data testing and generate a branded data report
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Run copy-only CARBON failure-injection and error-condition testing against an app, API, service, build, configuration, dataset, or artifact
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04

Proof, risk & release confidence

Prioritize consequential paths, attempt Lean proofs and make evidence-qualified decisions.

9 commands & benefits
Select a consequential property, translate supported scope into a Lean model, attempt verification and report exactly what was proved—or not.
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Run an intent-first, bounded confidence investigation loop for a product or release: prioritize consequential questions, investigate and challenge, reassess evidence, then reprioritize. Persist promises, evidence, human context and judgment ranges, with a live in-agent decision audit.
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Initialize confidence engineering in a repository by creating the .confidence system map, risk register, claim ledger, eval folders, incident records, trace folders, and release report.
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Build a risk-based validation plan for an AI feature, model change, prompt change, agent workflow, RAG system, or AI-generated code change before implementation or release.
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Independently challenge AI-generated code, an AI behavior change, an eval suite, or release evidence for hidden assumptions, unsafe interactions, weak measurements, and false confidence.
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Independently challenge AI-system claims, eval plans, and release evidence for hidden assumptions, unrepresentative samples, weak oracles, severe failures hidden by averages, and confidence theater.
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Decide whether an AI system or AI-generated change should ship, canary, hold, or roll back using traceable evidence, uncertainty, severe failures, monitoring, and reversibility.
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Independently synthesize code, evals, risk, production signals, severe failures, rollback readiness, evaluator independence, and uncertainty into a scoped AI release recommendation.
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Respond to an AI production incident by containing impact, preserving prompts and traces, identifying contributing conditions, assessing customer harm, and promoting the failure into durable eval cases.
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05

AI quality & evaluations

Challenge model behavior, evaluation design and statistical claims.

6 commands & benefits
Design, implement, run, and analyze evaluations for prompts, models, RAG, ranking, agents, multimodal systems, personalized behavior, or AI-generated software.
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Independently review an AI evaluation design for decision relevance, representative populations, high-risk slices, repetitions, oracles, metrics, blockers, dependence, and saved artifacts.
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Review AI evaluation statistics for paired versus independent design, ordinal scores, clustered prompts, repeated runs, calibration, confidence intervals, multiple comparisons, pseudoreplication, and practical significance.
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Assess how easily AI agents discover, understand, and safely operate a website, API, tool interface, or other artifact. Test machine-readable semantics, documentation and contracts, real task completion, state and recovery, and applicable agent-readiness guidance; publish actionable feedback rather than testing an agent model itself.
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Generate, extend, review, and optionally execute large risk-based chatbot test suites from the current conversation, supplied product context, repository artifacts, requirements, existing chatbot suites, websites, and APIs
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Investigate bias across AI training data, training processes, dependencies and product behavior
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06

Testing operations & integrations

Keep a reusable test inventory, inspect history and connect your existing quality tools.

13 commands & benefits
Create, review, edit, duplicate, activate, archive, delete, import, convert, bake in, repair, export, and visually manage project-local CARBON AI-intent tests
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Generate prioritized CARBON test candidates from live pages, source code, requirements, screenshots, recordings, APIs, discovered widgets and controls, CARBON's built-in flow library, and user-defined or learned custom flows
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Build or revisit a persistent product quality map with screenshot/widget inspection, paths and journeys, separate functional/business risks, adjustable weighting and ranked testing/regression-automation backlogs. Retain build changes and human steering; show explicit AI/human time and cost estimates for all test items.
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Show CARBON's complete evidence-qualified quality record in one dark, visual report: every known test case, declared automation and frameworks, durable execution history and trends, findings, and human decision context
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Show an evidence-qualified, privacy-safe CARBON activity dashboard with commands executed and frequency, tests created and executed, issues found and explicitly verified fixed, biggest issues saved, exact host-supplied tokens and model levels per activity, observed unit costs, evidence leverage, and optional user-baselined time and dollar savings
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Connect CARBON to Jira with Xray or TestRail so external test cases, results, and known issues can inform plans and reports
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Upgrade existing automated or manual tests for AI-first validation, including porting legacy suites into editable CARBON AI-intent tests and adding sparse local model-powered screenshot quality checkpoints
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Run a bounded, durable CARBON validation loop over a current change, feature, local app, or URL
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Set up, pause, inspect or review Jay's bounded background checks after code changes
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Continuously expand test coverage and investigate bugs until stopped or an optional limit is reached
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Manage CARBON's private local test-execution profile and preferences
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Ask, retain, and record the smallest set of project-specific human decisions that materially change CARBON confidence, readiness, risk, test selection, or release interpretation
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Open the CARBON Pro marketing page to explore Pro features, pricing, and upgrade options.
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Lean proves specified properties of a model under explicit assumptions—not whole-app correctness or automatic source/model equivalence. Accessibility reports and legal-risk triage are review aids, not certification or legal advice. Integrations require authorized accounts and host tools. Load/stress workflows here are read-only risk reviews.

21 test areas

6 workflows

About CARBON Pro.

What is included in Pro?

60 testing commands, specialist investigations, Lean-backed property proofs, reusable test history and evidence-backed reports. Run them inside your supported AI coding agent.

How do I install Pro after purchase?

After purchase, you receive a link to install the CARBON Pro plugin. Follow the instructions for your coding agent, open your project and run /carbon. If you need help, contact Jason on LinkedIn.

Are AI model tokens included?

No. Pro is a harness license. It uses the model access configured in your coding agent or API account; your provider’s limits and usage charges apply separately.

Does Pro work with my existing tests?

Keep your existing framework, bug tracker and test management system. CARBON works through your agent’s authorized tools and configured integrations. Required dependencies and account access still apply.

Does Pro prove my entire app is correct?

No. Lean checks specific properties of a model under stated assumptions. Reports identify the selected source, verified claims, counterexamples and untested scope. A proof is not whole-app certification.

Where does my code go?

Pro runs through your coding agent’s environment. Your host may send authorized code and evidence to its model provider under that provider’s policies. Reports are local; review exports before sharing.

Does Pro include a private cloud?

No. Enterprise includes CARBON Cloud deployed in your private cloud, parallel web testing and customizations. Contact us to agree deployment scope, infrastructure and model usage.

Help improve this page? Optional Fathom measurement

If you allow it, Fathom measures the page version and fixed-name actions such as clicks and copied test requests. We remember your page version for up to 30 days, without creating a visitor ID. No email, code or report content is included in event names. Clicks are not verified installs or sign-ups. Your choice won’t affect installation. Details

Measurement off.

OPTIONAL. NEVER REQUIRED TO INSTALL.

Keep up with CARBON.

Get occasional workflow tips and release updates from Jason. This optional newsletter is separate from your plugin license.

Request CARBON updates

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THE CARBON PLATFORM

One platform. More ways to test.

Jay agent

AI TEST MANAGER

Jay

Jay reads your project, source code and latest changes to decide what needs testing. He assigns sub-agents, follows testing workflows through to completion, and reports back with test results, trends and his evidence-backed assessment of confidence in shipping.

What I test

  • Source code & changes
  • Project context & risk
  • Sub agent assignments
  • Workflow completion
  • Test reports & trends
  • Shipping confidence

What I look for

What could break, what the evidence supports and what is still untested. Jay explains his opinion on shipworthiness, including unresolved risks and blocked work—not a guarantee that the software is bug-free. Available workflows and trend history depend on your edition, host and saved evidence.

AI-generated code agent

AI SPECIALIST

AI-generated code

Finds bugs and issues commonly associated with AI coding agents, targeting their specific weaknesses—not just general code quality. Looks for convincing-looking implementations that miss requirements, hide unfinished behavior or take unsafe shortcuts.

What I test

  • ai code
  • vibe coding
  • code review
  • functionality
  • data
  • api

What I look for

Recurring AI-coding failure patterns: plausible but incorrect logic, invented or misused APIs, missed edge cases, incomplete error handling, and tests that repeat the implementation’s assumptions instead of challenging them.

Accessibility agent

AI SPECIALIST

Accessibility

AI-led accessibility testing beyond rules-based scans: evaluate WCAG AA and relevant AAA criteria, resize text and inspect reflow, and check whether alt text is accurate and useful. Generate draft VPAT/ACR reports and flag potential legal exposure for expert review.

What I test

  • WCAG AA & AAA checks
  • Text resizing & reflow
  • Alt text meaning & usefulness
  • Keyboard & assistive technology
  • Draft VPAT / ACR reports
  • Legal exposure triage

What I look for

Barriers that rules-based scanners can miss: alt text that exists but is misleading or unhelpful, layouts that break when text grows, and interactions that prevent task completion. Build evidence-backed draft VPAT/ACR reports and assess potential legal exposure using your company type, location and observed gaps. Legal-risk findings are preliminary review aids—not legal advice, a liability prediction or accessibility certification.

Usability agent

AI SPECIALIST

Usability

User-centered design and usability specialist focused on discoverability, task clarity, responsive behavior, interaction friction, visual hierarchy, and inclusive UX.

What I test

  • usability
  • ux
  • ui
  • compatibility
  • localization

What I look for

Confusing choices, hard-to-find actions, awkward layouts and unnecessary steps.

Privacy agent

AI SPECIALIST

Privacy

Privacy specialist focused on personal-data exposure, consent, tracking, collection minimization, storage and transfer, debug leakage, user expectations, and AI-specific privacy risks.

What I test

  • privacy
  • pii
  • ccpa
  • data

What I look for

Unnecessary collection, unexpected tracking, leaked personal data and consent that is not respected.

Content agent

AI SPECIALIST

Content

Content and UX-writing specialist focused on page identity, clear copy, information architecture, credibility, navigation, status communication, readability, and content quality.

What I test

  • content
  • copy
  • spelling
  • seo
  • ui

What I look for

Misleading copy, unclear status, inconsistent navigation and information users cannot easily understand.

Performance agent

AI SPECIALIST

Performance

Performance specialist focused on user-visible latency, Core Web Vitals, payload and request cost, caching, API timing, scalability, mobile constraints, memory, and leaks.

What I test

  • performance
  • perf
  • web vitals
  • networking
  • reliability

What I look for

Slow interactions, costly requests, layout instability and memory growth. Load and stress work is read-only risk review.

Security agent

AI SPECIALIST

Security

Web-application security specialist focused on authentication, authorization, session safety, exposed data, dependencies, and practical vulnerability evidence.

What I test

  • security
  • authentication
  • authorization
  • sessions
  • secrets

What I look for

Broken access boundaries, unsafe sessions, exposed secrets and reproducible vulnerabilities.

WCAG agent

AI SPECIALIST

WCAG

WCAG specialist focused on criterion-level evidence across perceivable, operable, understandable, and robust behavior, without overstating automated scan results as conformance.

What I test

  • accessibility
  • a11y
  • wcag
  • conformance

What I look for

Criterion-level failures and missing evidence. Findings support review, not automatic certification.

Compatibility agent

AI SPECIALIST

Compatibility

Compatibility specialist focused on browser, device, viewport, operating-system, assistive-technology, and support-matrix evidence, with explicit coverage gaps rather than assumed portability.

What I test

  • compatibility
  • cross browser
  • responsive
  • devices
  • assistive technology

What I look for

Behavior that breaks across supported browsers, devices and viewport sizes; untested combinations remain explicit.

Localization agent

AI SPECIALIST

Localization

Localization specialist focused on translation accuracy, locale formats, pluralization, truncation, bidirectional layout, cultural fit, regulatory copy, and recovery behavior across languages.

What I test

  • localization
  • i18n
  • l10n
  • rtl
  • content

What I look for

Incorrect translations, clipped text, broken right-to-left layouts and wrong date or currency formats.

Data integrity agent

AI SPECIALIST

Data integrity

Data-integrity specialist focused on agreement between rendered values, APIs, events, schemas, exports, storage, calculations, retention, and downstream state.

What I test

  • data
  • data integrity
  • api
  • events
  • schemas

What I look for

Mismatched totals, lost updates, inconsistent records and disagreement between the UI and stored data.

Forms agent

AI SPECIALIST

Forms

Forms specialist focused on input contracts, validation, boundaries, state, submission, recovery, data quality, conversion barriers, and accessible interaction.

What I test

  • forms
  • form
  • functionality
  • data

What I look for

Invalid input accepted, valid input rejected, lost entries and submissions that cannot recover.

Error UX agent

AI SPECIALIST

Error UX

Error and recovery specialist focused on truthful status, clear messages, consistent severity, actionable recovery, safe logs, failure loops, and user trust.

What I test

  • error ux
  • errors
  • ux
  • functionality
  • reliability

What I look for

False success, unhelpful errors, repeated failure loops and recovery that loses user work.

Search agent

AI SPECIALIST

Search

Search-interface specialist focused on discoverability, query handling, suggestions, empty states, input accessibility, relevance feedback, and resilient result navigation.

What I test

  • search
  • functionality

What I look for

Broken queries, confusing empty results, inaccessible suggestions and navigation dead ends.

News & content agent

AI SPECIALIST

News & content

Digital publishing specialist focused on article identity, readability, supporting media, metadata, context, advertising boundaries, and multi-device content behavior.

What I test

  • publishing
  • news
  • content

What I look for

Unclear article identity, unreadable content, mismatched metadata and media that fails on smaller screens.

Landing pages agent

AI SPECIALIST

Landing pages

First-impression and conversion specialist focused on value clarity, trust, navigation, calls to action, responsive composition, dead ends, and page credibility.

What I test

  • landing page
  • landing
  • ui
  • ux

What I look for

Unclear value, weak trust signals, hidden calls to action and conversion-blocking dead ends.

Checkout agent

AI SPECIALIST

Checkout

Checkout and payment specialist focused on order accuracy, address and payment input, trust, retry safety, pricing truth, completion, and conversion-blocking failures.

What I test

  • checkout
  • ecommerce
  • payment
  • functionality

What I look for

Wrong totals, misleading prices, unsafe retries and missing or ambiguous purchase confirmation.

Shopping cart agent

AI SPECIALIST

Shopping cart

Shopping-cart specialist focused on line-item state, quantities, promotions, totals, inventory changes, persistence, accessibility, and safe transition to checkout.

What I test

  • cart
  • shopping cart
  • ecommerce
  • functionality

What I look for

Stale quantities, incorrect discounts, lost carts and totals that change unexpectedly at checkout.

Pricing agent

AI SPECIALIST

Pricing

Pricing and subscription specialist focused on plan clarity, comparison, currency and locale, hidden conditions, billing cadence, conversion paths, and truthful claims.

What I test

  • pricing
  • localization

What I look for

Hidden conditions, confusing plan differences and inconsistent pricing or billing periods.

GDPR agent

AI SPECIALIST

GDPR

GDPR specialist focused on lawful consent, personal-data exposure, international transfer, minimization, retention, security, data-subject rights, transparency, and accountability.

What I test

  • privacy
  • gdpr
  • data
  • compliance

What I look for

Consent, retention and rights-handling gaps requiring review; findings are not legal advice.

Cookie consent agent

AI SPECIALIST

Cookie consent

Cookie-consent specialist focused on prior consent, purpose and vendor choices, reject symmetry, preference persistence, withdrawal, tracking verification, and regional behavior.

What I test

  • privacy
  • cookie consent
  • cookies

What I look for

Tracking before consent, hard-to-find rejection and preferences that fail to persist or withdraw.

Legal policy agent

AI SPECIALIST

Legal policy

Policy-content specialist focused on discoverability, internal consistency, versioning, contact details, user rights, actual-product alignment, accessibility, and credible presentation.

What I test

  • privacy
  • legal
  • policy

What I look for

Policies that contradict the product, outdated terms and missing contact or rights information; not legal advice.

AI chatbot agent

AI SPECIALIST

AI chatbot

Conversational-AI specialist focused on task success, conversation quality, state, memory, recovery, privacy, safety, injection, tools, latency, integration, and nondeterminism.

What I test

  • ai chatbot
  • chatbot
  • functionality
  • api

What I look for

Lost conversation context, unsafe tool actions, prompt-injection exposure and inconsistent answers.

OWASP agent

AI SPECIALIST

OWASP

OWASP-focused security specialist who challenges access control, injection, insecure design, misconfiguration, vulnerable components, integrity, logging, and SSRF risks.

What I test

  • security
  • owasp
  • networking
  • api

What I look for

Injection paths, misconfiguration, unsafe dependencies and missing security controls.

ILLUSTRATIVE DEMO · NOT A LIVE RUN

    Example replay
    CARBONHTML reportPreparing