Trace the work
Inspect execution steps, their timing and status, and errors when a step fails. Captured inputs and outputs add context where enabled.
See the work. Find what needs attention.
Production agents need an execution record you can inspect. Aether brings step-level traces, AI usage, structured logs and runtime health into the operational picture.
Observability, built in
Follow the run.
Find the failing step.
See what completed, what failed and what was skipped. Timing and error details help your team investigate with context.
During test executions, live events let you follow the workflow as its steps run.
- Receive requestComplete
- Run a shared skillComplete
- Update the CRMError
- Send responseSkipped
See which step needs attention, with timing, status and error details in the execution record.
The evidence behind the outcome.
Understand AI usage
Review token usage recorded at AI operations alongside execution details, so model activity has context.
Keep operations visible
Structured logs support investigation. Runtime health reports uptime, memory and CPU usage for operational monitoring.
Visibility with boundaries
Choose what the record captures.
Set payload capture for your environment: full inputs and outputs, metadata only, or no payload content.
Your team can choose the level of detail that fits its data sensitivity and storage requirements.
From evidence to improvement
Observe the run.
Refine the capability.
Execution records help your team identify where a workflow, skill or prompt needs attention. Skills and Playbooks keeps reusable skills and prompt templates versioned, so improvements can be deliberate.
Explore Skills and Playbooks →See an agent run, step by step.
Bring us a process. We’ll show you how Aether executes it and the records your team can use to investigate and improve it.