Meta-Observation: How an Interdisciplinary Ontological Model Is Built in Dialogue with AI and a Critic

This article presents a methodological reconstruction of the process of creating the interdisciplinary ontological model SFOС (Entity Forming Objects and Subjects) in dialogue with an AI (DeepSeek) and a critic (Nikita Kazachenko). The author, whose original competence lies in evolutionary biology, civilizatiology, and psychology, describes his journey into the "ice fields" of physics and ontology, where facts are harder and AI is easier to verify. The key thesis: ontology can be built without being an expert in all fields, provided there is a method (the MBM Controller checklist), tools (AI as a research assistant), and a willingness to engage in dialogue with a critic. The four-block checklist (logic, reality, honesty, novelty) replaces intuition and allows self-verification in unfamiliar territory. Dialogue with the critic provided the model with key elements: Armstrong's Principle (the inverse problem of reconstructing SFOС from the screen is ill-posed), the semigroup of the projection operator P(G), the connection with the renormalization group, and physical parallels (Tarasov, decoherence, relational quantum mechanics). The critic becomes not an enemy but a co-author who completes the model. The article offers practical methodology for researchers: a self-verification checklist, a strategy for working with AI, and the principle of honestly acknowledging limitations. The author draws a parallel with heliocentrism: new paradigms require decades for acceptance. The call: do not be afraid to step beyond your competence if you have method and tools.