Writing topic · 5 articles

AI and automation with visible authority and recovery.

Design notes for AI-assisted work where source, decision rights, review, execution, reconciliation, and recovery remain inspectable.

Topic boundary

What belongs in this collection.

This topic covers proposed operating methods and architecture principles. It does not assert that a product, integration, customer deployment, service level, or measured operating result exists.

01
Which source and context support the recommendation?
02
Who may approve or execute the consequential action?
03
What evidence proves reconciliation or triggers recovery?

Expert architecture paper

Where an Operations Agent Must Hand Back Control

An evidence-bounded self-storage architecture pattern for binding agent actions to identity, authority, source, policy, consequence, reversibility, side-effect, handback, resumption, and governing-state reconciliation.

14 min read

Expert architecture paper

Designing a Human Review Queue That Does Not Become a Bottleneck

A capacity-bounded architecture for evidence-complete admission, consequence routing, qualified adjudication, visible aging, execution, reconciliation, and reopening.

19 min read

Advanced operating method

Automation SLOs for Operators

A self-storage reliability method built around freshness, completion, reconciliation, recovery, evidence integrity, and consequence-aware error budgets.

18 min read

Operating essay

Evidence Before Automation

Why AI-assisted operating decisions need visible sources, freshness, approvals, and reconciliation boundaries.

8 min read

Proposed standard

What AI-Native Should Mean in Facility Management

Six tests for source-grounded, authority-aware, measurable, reviewable, and recoverable AI-assisted operations.

9 min read

Publication boundary

These are owned articles by Jared Mastroianni. They are not independent coverage, certification, customer proof, or evidence that a described product capability is live.