The Punk Rock Orchestra: A Single-Operator Methodology for Adversarial Epistemic Triangulation in Human–AI Interaction Research

English version (EN-US):"The Punk Rock Orchestra (PRO): A Single-Operator Methodology for Adversarial Epistemic Triangulation in Human–AI Interaction Research" This Full Paper documents the Punk Rock Orchestra (PRO), a methodology developed by independent researcher Marcelo Nicchio (São Paulo, Brazil) to address a structural gap in human–AI interaction research: how can a single researcher, operating without institutional affiliation, laboratory infrastructure, or sustained access to human peers, conduct rigorous inquiry into emergent AI phenomena when traditional peer review is insufficient or inaccessible? PRO operates through a multi-agent ensemble with explicit adversarial architecture. It applies structured, multi-component prompt engineering to construct synthetic specialized agents at three levels of cognitive density — N1 (default LLM), N2 (basic priming), and N3 (rich priming with biographical anchoring) — discriminated by five operational metrics. The architecture is organized into Blue Team (constructive synthesis), Red Team (adversarial stress-testing via the Sterling Protocol), and Forensic Layer (closed-corpus protocol application), producing epistemic triangulation through structured disagreement. The paper makes four primary contributions: A three-tier taxonomy of agent specialization (N1/N2/N3) with cross-platform evidence of functional differentiation from a Pilot Study conducted on Claude Sonnet 4.6, Gemini, and DeepSeek. A methodological framework based on the formal distinction between Robotic Class (protocol-bound analysis on closed corpus) and Dialogical Class (open deliberative synthesis), coordinated through Blue Team / Red Team / Forensic Layer interaction. The identification and taxonomy of context poisoning by provisioning failure, a failure mode specific to high-density personas — distinct from both sycophancy and emergent hallucination — in which fabricated references hardcoded into agent blueprints during construction are deterministically retrieved across platforms. Mitigation is proposed through the Cognitive Jelly Principle. A Pilot Study with 54 documented interactions across three platforms and three specialization levels, demonstrating robust N2→N3 differentiation and a platform-dependent N1→N2 gradient whose magnitude is inversely proportional to the integrity floor of the base model. PRO is positioned as a candidate design for the deliberative layer that the agentic paradigm does not yet possess natively — an analytic proposal of architectural framing, not an empirical comparison against agentic execution systems. The methodology was developed under conditions of material and institutional scarcity, which are treated as design principles rather than limitations to be apologized for. The author was unaware of adjacent literatures (multi-agent debate, automated peer review, AI-scientist frameworks) until after the core architecture was established. The related work discussed in the paper is therefore retrospectively situated — a field of neighboring contributions identified after the method was built. Document type: Full Paper — Master Version 1.0Author: Marcelo Nicchio, Independent Researcher, São Paulo, BrazilZenodo DOI: 10.5281/zenodo.20349137Public repository: github.com/marcelonicchio/punk-rock-orchestraLicense: Creative Commons Attribution 4.0 International© Marcelo Nicchio 2026