/4 CONNECTED STEPS
Monitor a source and explain what changed
Build a baseline, detect meaningful changes, and produce an updated dashboard with an alert decision.
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What you need
An accessible source, required fields, durable storage; an opted-in destination for actual alerts.
Why these fit together
The probe establishes whether the job is possible; snapshots supply comparable state; notification rules consume the diff; freshness checks distinguish silence from failure.
Follow this order
Test data availability before accepting work
Prove the requested source can supply the needed fields.
Build a monitor from probe to dashboard
Turn normalized records into baseline, diff, history and dashboard.
Send notifications only on real changes
Consume meaningful diffs after the dashboard is saved.
Detect stale outputs beyond green schedules
Detect missing production separately from unchanged data.
Give this task to your AI
Use the Monitor a source and explain what changed workflow. My task and inputs are supplied below. Read the prerequisites and check your available tools. Follow the core steps in order, passing the actual output of each step to the next. Adapt installation and commands to this environment; do not copy another agent's configuration blindly. If a required tool or input is missing, identify it before that step. Run the completion check and report observed results and unresolved work.
Setup to provide or build
A concrete source adapter, normalized record schema, local storage, dashboard template, scheduler and disabled-by-default notification adapter.
Check the result
Baseline and unchanged input send nothing; a changed fixture updates the dashboard; an unreadable source preserves the last good output and reports failure.
Curated implementation workflow. End-to-end execution must be verified in your environment.
Optional additions
Load these only when your task needs them.