Workflow Reliability term
Observability: meaning, examples, and AI prompt use.
Makes hidden failures visible through logs, metrics, traces, and events.
What it means
Plain meaning
logs metrics traces: Makes hidden failures visible through logs, metrics, traces, and events.
Aliases
logs metrics traces, instrumentation, telemetry
People say / experts say
People usually say
- do not know why
- debug
- production issue
- monitor
- failure
- state transition logs
Experts usually say
Observability, Tracing, Audit log, Error taxonomy
When to use it
Use it when
Your rough ask sounds like: do not know why, debug, production issue. The term gives your coding agent a clearer problem shape.
When not to use it
Do not use this term as a request for a quick screen fix. Use it when the system needs explicit state, rules, failures, or recovery behavior.
Copy-ready handoff phrase
Before and after
Weak ask
Fix this do not know why flow.
Exact Terms ask
Add observability events for each transition, failure, retry, and recovery path.
Prompt templates by use case
Architecture prompt
Audit this workflow for Observability and related concerns: Tracing, Audit log, Error taxonomy. Return states, rules, failure modes, and recovery behavior before code.
Implementation prompt
Implement Observability for this app flow. Include data ownership, edge cases, fallback behavior, and acceptance tests.
Test prompt
Create tests that prove Observability works across refresh, retry, back/next movement, partial failure, and return visits.
Common mistake
What goes wrong
Asking for code before defining states, transitions, persistence, and failure behavior.
Better move
Use Observability with the related vocabulary trail: Tracing, Audit log, Error taxonomy.