CARBON Pro-only commands

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.

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.

Connect Jira/Xray or TestRail, read external test and issue evidence, manage non-secret project overrides, and preview or explicitly approve guarded synchronization.

Show evidence-qualified CARBON activity, token/model usage, issues found and verified fixed, unit economics, command frequency, leverage signals, and optional user-baselined savings.

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.

Ask or record only the project-specific human decisions that can materially change CARBON confidence, readiness, risk, test selection, or release interpretation.

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.

Generate prioritized planned CARBON tests from discovered widgets, standard flows, code contracts, recordings, and custom or learned flows.

Generate, extend, review, and optionally execute a large categorized chatbot test suite from current conversation context and project artifacts.

Use the coding agent's local browser for classic CARBON browser workflows with no testers.ai account required.

Continue the prior broad CARBON candidate pool with the next highest-value deferred tests without repeating the initial pass.

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.

Run CARBON Agent Readiness testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Agent Readiness report.

Run CARBON Functionality testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Functionality report.

Run CARBON User Interface testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required UI report.

Run CARBON User Experience testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required UX report.

Run CARBON Usability testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Usability report.

Run CARBON Privacy testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Privacy report.

Run CARBON Security testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Security report.

Run CARBON Load Testing testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Load testing report.

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.

Run CARBON Performance testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Performance report.

Run CARBON Networking testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Networking report.

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.

Run CARBON Reliability and Resilience testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Reliability report.

Run CARBON Compatibility testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Compatibility report.

Run CARBON Content testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Content report.

Run CARBON Data Integrity testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Data integrity report.

Run CARBON API testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required API report.

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.

Run CARBON Localization and Internationalization testing against a named feature, reachable target, API, source, screenshot, or current project and generate the required Localization report.

Run a bounded durable test-fix-retest validation loop.

Create isolated copies, inject controlled faults and error conditions, verify recovery, and prove the originals remained unchanged.

Upgrade existing tests with sparse model-powered screenshot quality checkpoints or deterministic local validation.

Run an intent-first confidence investigation loop: prioritize consequential questions, investigate and challenge, reassess evidence, then reprioritize within budget with a live decision audit.

Initialize a durable confidence-engineering workspace.

Map AI-system risks, claims, and decision-changing evidence.

Design, run, and analyze decision-relevant AI evaluations.

Independently challenge AI changes and their evidence.

Decide whether an AI release should ship, canary, hold, or roll back.

Contain an AI incident and preserve durable regression evidence.

Challenge evaluation populations, cases, and oracles.

Independently synthesize release evidence and uncertainty.

Review AI trust boundaries, data, tools, and side effects.

Find overclaims, weak evidence, and confidence theater.

Review AI evaluation statistics and supported inference.