HAOP.ai
Resources

HAOP articles and field notes

Focused pieces on AI as a performer, verification overrun, closed informational loops, verification capacity, and operational safety in AI-enabled work systems.

These resources support the HAOP white paper by giving specific failure modes and design questions a place to stand on their own. They include Zenodo preprints, published articles, and concept pages connected to the HAOP framework.

Live Tool

True Function Diagnostic

Does the workflow produce the safety outcome it claims, or a representation of it? Reports an evidence state, not a decorative score. Runs entirely in your browser; nothing is transmitted or stored.

Open Tool
Zenodo Preprint

The Collapse of Correction

Closed informational loops in safety-critical work: how AI-enabled workflows can suppress correction signals while the system continues to appear functional.

Open Resource
Zenodo Working Paper

Verification Overrun

The hazardous condition in which a person is held accountable for a verification that exceeds the capacity to verify under the conditions provided. A state of the system, not a state of the worker. Formerly titled Cognitive Overrun.

Open Resource
LinkedIn Article

Human-in-the-Loop

Why fast AI-enabled systems need verification designed into the workflow, not bolted on at the end after the loop has already closed upstream.

Open Resource
Published in ISHN

The Third Performer

AI does not choose whether to augment or surveil. The organization does. Above the worker, the human is measured; alongside the worker, the human is equipped — and the direction is set before the device reaches the worker's ear.

Read on ISHN
Performer Threshold

The Second Performer

AI becomes a performer when it moves from bounded tool use into operational influence: routing, recommending, prioritizing, approving, or shaping what humans see first.

Open Resource
Knowledge Degradation

Architecture of Self-Destruction

A systems argument about AI replacement, recursive synthetic data, weak-signal loss, and the danger of extracting human expertise while degrading the human system that keeps AI grounded.

Open Resource