Signal & Feedback Surface Design

To improve runtime observability without new telemetry stacks, audit existing scenario outputs and align feedback surfaces with the domain model. This ensures states and failures remain visible using current logs, status outputs, and UI cues without introducing new infrastructure.

Aligning scenario logs with domain language requires shaping feedback surfaces so outputs describe what the scenario is doing and guide next steps. This makes runtime states self-explanatory, ensuring humans and agents can trust system transitions without guesswork.

Auditing telemetry signals involves mapping key states, transitions, and failure modes to required outputs, then identifying noisy logs. This removes confusing feedback, ensuring deterministic events are logged and health indicators summarize the latest situation noise-free.

Yes, signal and feedback surface design works for prompt-management contexts by mapping scenario models to visible runtime states. It clarifies observability across logs, status outputs, UI cues, and documentation, ensuring feedback remains actionable and stable for agents.

You should update documentation after changing observability surfaces whenever signal inventories shift. Ensuring the Observability Surface doc reflects current signals keeps operators and future agents informed, preventing runtime guesswork and maintaining stable feedback alignment.

Runtime health indicators lack actionable feedback when outputs are misaligned with the scenario model. By auditing existing signals and updating the Observability Surface doc, you ensure health indicators summarize the latest situation clearly and guide next steps.