Engineering focus
Task evidence and diagnosable model or retrieval behaviour.
Arize Phoenix
Open evaluation and tracing workflows for AI applications. Task evidence and diagnosable model or retrieval behaviour.
Discuss a Arize Phoenix programmePlatform engineering programme
Arize Phoenix: Open evaluation and tracing workflows for AI applications.
Engineering on this platform.
Commissioned scope
Agent observability and tracing · Knowledge quality evaluation · Agent evaluation harnesses
Engineering focus
Commission Arize Phoenix engineering for open evaluation and tracing workflows for AI applications. The contribution centres on task evidence and diagnosable model or retrieval behaviour.
Programmes to commission
- Agent observability and tracing: Expose useful execution evidence for diagnosis, quality review and operations.
- Knowledge quality evaluation: Measure retrieval coverage, source fidelity and answer usefulness for enterprise use.
- Agent evaluation harnesses: Test task completion, failure handling and tool behaviour before release.
Operating context
Task evidence, execution boundaries and meaningful quality assessment around agent workflows. The engagement identifies the selected components, interfaces and acceptance evidence. Relevant vendor terms and access arrangements follow the actual platform scope. A useful result connects platform behaviour to the enterprise task.
Platform context.
Bring the next
requirement.