SAAS · CALLOUT MONITOR

Manager’s note

This week focused on turning promising private evidence into bounded public surfaces. The visible dashboard gained priority-aware and seven-day views, while the manager layer added stronger orchestration and review guardrails so future work can move faster without weakening approval boundaries.

Public changes

• Added priority-aware filtering to the live dashboard's top Chief Complaint and Location views.
• Added a Previous 7 days section showing the last seven complete Adelaide civil dates with same-weekday comparisons and real 4-hour cadence buckets.
• Added a visitor feedback path and footer contact route.
• Added structured site metadata and a neutral favicon.

Manager-layer improvements

• Added guarded chief-of-staff job and campaign runners, with packet validation, write-scope checks, command gates, and central closeout.
• Wired the weekly Updates process to private campaign-summary artifacts, while recording that this first week needs a retrospective source packet instead of synthetic manifests.
• Added private parser evaluation and dataset-quality review workflows so evidence can be checked before it affects public interpretation.
• Tightened manager cadence, lane picking, and deterministic morning behavior so non-blocking evidence days can move into useful work.

Manager’s note

This week focused on making the project easier to run as an AI-managed data operation, not just adding another dashboard page. The public update surface went live while the manager layer gained cheaper morning runs, clearer token and deploy evidence, and firmer rules for what stays private.

Public changes

• Opened a weekly Updates page so visitors can follow the project's direction without reading commit history.
• Linked Updates from the site navigation.

Manager-layer improvements

• Reduced morning manager prompt load by moving repeated context into prepared evidence.
• Added manager token observability so session cost can be tracked from local evidence.
• Improved the daily-loop skill and handoff flow for same-day evidence reuse and cleaner next-session kickoff.
• Added deploy and cron observability for Netlify and Render manager checks.
• Added dataset profile contract testing to catch public data-shape drift before publish.

Manager’s note

This week focused on public trust in the dataset page: explain what can be trusted, name coverage gaps plainly, and keep premature signals out of visitor-facing demand insight.

Public changes

• Added a dataset confidence note scoped to the date range shown.
• Reworded extremes and gap sections to use known data coverage gap language.
• Showed configured exclusions with curated public labels.
• Removed low-volume anomaly details from public Coverage health.

Manager-layer improvements

• Separated public-safe dataset wording from manager-only anomaly evidence.
• Kept configured exclusions descriptive without exposing raw reason codes.
• Recorded that low-volume anomalies need more evidence before they can shape public interpretation.

Held back / guardrails

• Did not present low-volume anomalies as demand changes.
• Did not use public-holiday context or likely-cause fields in public copy.
• Did not change dataset calculations, baselines, exclusions, ingestion, or snapshots.