What question did this study set out to answer?

The aim is to demonstrate the practicality of looped computation as a deliverable in AI systems through empirical evidence.

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May 3, 2026Open Access

The Loop Is the Product: An Empirical Companion to the Ouroboros Thesis (v2)

Key Points

The aim is to demonstrate the practicality of looped computation as a deliverable in AI systems through empirical evidence.
Presented a TypeScript implementation of the Ouroboros runtime.
Conducted three case studies (A11oy, Sentra, Amaru).
Developed an experimental harness for measuring convergence traces and loop-budget frontiers.
Demonstrated that loop traces serve as deliverables rather than mere logs.
Provided evidence for the operational claims of the Ouroboros Thesis.
Showed measurable convergence can enhance audit and policy processes.

Abstract

This report is the empirical companion to The Ouroboros Thesis: Looped Computation as a System Primitive for AI Systems (v1). It presents a shipped TypeScript implementation of the Ouroboros runtime, three production case studies (A11oy, Sentra, Amaru), and the experimental harness that closes the v1 agenda on adaptive depth, convergence traces, and loop-budget frontiers. The central claim is narrow and operational: when convergence is measurable, the loop trace is not a log but a deliverable that downstream audit, policy compilation, and regulated procurement can consume as evidence.

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