Our 'independent' AI reviewers were all the same model (three weeks of tests) A three-week operational field report from Python Visuals, running on the Apeiron OS substrate, found that its 'independent' AI reviewers were all the same underlying model, undermining the validity of cross-vendor evaluations. The report, published as a white paper, case study, and technical design report, documents that two sealed experiments returned 'not a win' and the key metric is zero, with all artifacts committed by SHA-256 hash for transparency. What we measured, running a business on AI agents Python Visuals runs on Apeiron OS — an operating substrate where a fleet of AI agents does the observable work and every action touching a counterparty, production, or money passes through a human ruling. These three papers are the record: the thesis, the evidence, and the machinery. The null results are in on purpose. Two sealed experiments came back "not a win" and nothing shipped on them; the metric the whole thesis turns on is published at zero. This set is a founder-authored operational field report — first-party research with its artifacts committed by full hash in the evidence index below, not independently validated results. A record that can't state its misses can't be trusted on its wins. White Paper · the thesis /papers/apeiron-os-white-paper Apeiron OS — White Paper An operating substrate for AI-run business operations with human judgment kept sovereign: the problem, five design principles, the architecture, the operating contract, and where it goes — each direction with its falsifier stated. Read the white paper → Case Study · the evidence /papers/apeiron-case-study Apeiron OS — Case Study Three weeks of structured tests on a production system: shared memory across four AI workspaces from three vendors, the model-monoculture finding, sealed experiments with cross-vendor judges, a competitor's agent running the order desk — and ten findings for practitioners. Read the case study → Technical Design Report · the machinery /papers/apeiron-os-technical-report Apeiron OS — Technical Design Report Reconstructable patterns with their measured results: the actuation contract, the shared memory layer's invariants, the worker protocol, kernel selection, sealing and blinding methodology, eight experiments with designs and surviving threats, and the database-level governance patterns. Read the design report → Evidence Index · the commitments /papers/apeiron-evidence-index Apeiron OS — Evidence Index Per claim: the artifact set, full SHA-256 commitments, model and platform labels, dates, costs, outcomes, and each artifact's confidentiality status — what is inspectable, what is committed-but-private, and the standing offer of supervised inspection. Read the evidence index →From reading to running Curious how this applies to a real business — maybe yours? Two minutes, no email, an honest answer. Run the AI Fit Check /ai-fit