myMBR-OS — Project Status
Section titled “myMBR-OS — Project Status”Last Updated: 2026-04-08 (Layer 1 Hardening complete)
myMBR-OS is the AI + CLI operating system for MyBetterRates — a coordinated system of agents, data pipelines, and utilities that handles MBR’s day-to-day operations with Talbot acting as strategic director, not operator.
Test of success: Talbot is unavailable for 3 weeks. The business does not stall.
Layer Map — Current Status
Section titled “Layer Map — Current Status”| Layer | Name | Status | Project / Task |
|---|---|---|---|
| Layer 0 | Memory System (Obsidian KB + git) | ✅ Live | — |
| Layer 1 | Rate Intelligence Agent | ✅ Live + Hardened | rate-scanner (repo: ~/projects/mbr/rate-scanner/) |
| Layer 1 | Data Quality Gate | ✅ Complete | anomaly.py — threshold 15% |
| Layer 2 | Hassle Threshold Engine | 🔲 Not started | — |
| Layer 2 | Dispatch Agent | 🔲 Not started | — |
| Layer 3 | Ops Report Agent | 🔲 Not started | — |
| Layer 3 | Content Agent | 🔲 Not started | — |
| Layer 3 | CRM Agent | 🔲 Not started | — |
| Layer 4 | CEO Layer | 🔲 Not started | Phase Z |
Current Phase: Layer 1 Hardening
Section titled “Current Phase: Layer 1 Hardening”Rate scanner is live (Phase A complete). Current work: hardening Layer 1 to production reliability standards before Layer 2 build begins.
Layer 1 hardening requirements:
- Scraper health monitor —
scripts/health-check.sh, cron 09:00 ET, sentinel atlogs/health-check-status - Anomaly detection —
rate_scanner/anomaly.py, >15% threshold, sentinel atlogs/anomaly-status - Fine print capture —
min_balance_cad,product_promo_expiry,eligibilityon Product model + widget display - Daily Ops Report —
rate_scanner/ops_report.py, writes to09_Logs/Ops/YYYY-MM-DD_Rate-Scanner-Ops.md - Alert suppression —
daily-run.shreads both sentinels before export; skips on FAILED/EXCEEDED - Notify manager integration —
notifications/notify_manager.pywrapper; all CRITICAL/WARNING events wired - Structured log rotation —
logs/rate_scanner.log+daily-run.log+health-check.log, 5-run retention - Dry-run mode —
rate-scanner run --dry-run, passthrough indaily-run.sh --dry-run - Test suite — 37 tests, 0 failures: config, pipeline, anomaly, health check logic
Reliability Standards
Section titled “Reliability Standards”All myMBR-OS utilities must conform to the reliability standards in Utility-Reliability-Standards (moved 2026-07-09 from this folder’s STANDARDS.md to Core/IT/Utils/ — it’s a meta-standard for all utils, not MBR-specific). Derived from the my_backup system’s defense-in-depth architecture.
Project Status Note (2026-07-09)
Section titled “Project Status Note (2026-07-09)”Per the Dynalist 2026-07-09 capture: myMBR-OS / my_MultiBus-OS build-out is deferred until MBR is well established — biggest-rocks-first. Layer 1 (rate scanner) remains live and hardened; Layers 2+ wait. Project home moved to MBR/IT/Projects/ (IT-dept-owned) 2026-07-09.
Design Notes (extracted from the archived myMBR-OS brainstorm task, 2026-04-08)
Section titled “Design Notes (extracted from the archived myMBR-OS brainstorm task, 2026-04-08)”- Synchronization rule: no business phase launches without the OS layer that supports it — Phase B (alerts, users) requires Layer 1 (hardened data) + Layer 2 (Hassle Threshold + Dispatch) operational first.
- Build sequence (approved by Talbot): complete Layer 1 → Data Quality Gate → Hassle Threshold Engine MVP → Ops Report Agent (first visible OS artifact) → Content + CRM Agents → CEO Layer last (needs 6–12 months of operational history to be useful).
- Never automate: key relationships (Chilton, CARP, TFF), media/podcast personality, strategic pivots — the OS handles operations so Talbot focuses exclusively on these three.
- Full architecture sketch (agent map, AI-native framing, automation table) → archived task
_WorkingOn/Tasks/archive/2026-07/myMBR-OS.md.
Related Tasks
Section titled “Related Tasks”- myMBR-OS — brainstorm + meta-project framework; extracted + archived 2026-07-09 →
_WorkingOn/Tasks/archive/2026-07/ - Rate-Scanner-Dev — Layer 1 implementation history; closed 2026-07-09, content distributed to repo docs
Feedback
Section titled “Feedback”(leave blank — AI acts on feedback here before proceeding)