Overview
Execution transparency for AI-written code: business-logic tracing that reads as a narrative. Redacted, diffable, approval-testable traces for humans and AI agents. NarrativeTrace for Java.
Pricing
Free
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Use Cases
- Teams use NarrativeTrace to find failing steps and follow execution paths in their applications.
- AI agents use NarrativeTrace to get evidence from real runs instead of making guesses.
- Java developers use the Gradle plugin to set up NarrativeTrace and run tasks like clarityCheck, glossaryScan, and approveNarratives.
- Teams use the Java Agent for zero-code bytecode transformation in app servers and unmodified WARs.
- Developers use the JUnit 5 integration to generate per-test trace files, delta since last green, approval mode, and clarity reporting.
Features
Narrative business logic tracing
Execution transparency for Java code
Redaction of sensitive trace details
Diffable execution traces
Approval testing for traces
Traces readable by humans and agents
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