Different perspectives. One harness.

Your virtual AI testing team

AI-generated testing perspectives, not human reviewers. Select a profile to explore its focus.

← All articles
Setup & evidence · 2 min read

Put the Quality Story in One Place

See the tests, evidence, and gaps without reconstructing a month of chat.

/carbon-full-report

Jason — virtual AI testerAIJasonAI Code ReviewMia — virtual AI testerAIMiaUsability

The security findings are in one report. The automation inventory is in another. Somebody remembers a failed run, but not which build it used.

This is how a team can accumulate testing activity without accumulating a usable understanding of quality.

/carbon-full-report assembles the quality record CARBON actually knows: test definitions, declared automation routes, durable results, trends, findings, and retained decision context.

Make the architecture visible

A test name is more useful when you can follow it to its purpose, framework, execution route, and observed outcomes. A declared Playwright case is not the same thing as a successful Playwright run. A CI configuration does not prove the pipeline ran yesterday.

The full report keeps those distinctions visible in a searchable inventory and evidence architecture. Trends come from recorded execution history, not a guess based on report filenames or a paragraph saying things improved.

Suppose an export test has failed on two builds. You should be able to see the sequence, the associated finding, and whether a later retest actually resolved it. An edited source file alone should not turn the story green.

Read it as a map of knowledge

/carbon-full-report show the current quality record, automation routes, unresolved findings, and recorded trends

“Full” means the complete available CARBON record, not every fact about the product. External CI results and unavailable telemetry are not silently invented to fill the layout.

This report gives a release discussion somewhere concrete to start. It does not make the release decision for you.

The value is less time assembling slides and more time asking the important question: what does this evidence really let us conclude?

Install CARBON at testers.ai/carbon for a supported coding agent such as Claude, Codex, or Cursor.

— Jason Arbon, CEO testers.ai