Abstract
The article proposes an integral framework of entrepreneurship as a bio-cognitive architecture designed for productive interaction with uncertainty. The key hypothesis — antifatalism as a neurophysiological and institutional principle — is operationalized at three levels:
(1) neurochemical control of motivation and stress (adjustment of dopamine–cortisol–serotonin loops, polyvagal regulation);
(2) behavioral engineering of attention and energy (performance formula; metrics such as ROA, attention WACC, NPV-Meaning);
(3) human–AI symbiosis as an “external prefrontal cortex” (orchestration of agentic tasks, synchronization rituals, and three lines of defense: provenance, mirror verification, ethical filter).
Methodologically, the work combines conceptual modeling, interdisciplinary synthesis of neuroscience, behavioral economics, and innovation theory, as well as case analysis of practices of “big bet,” “long will,” and the stoic pause of capital.
The results translate abstractions of mindfulness into manageable indicators and procedures (breathing/NSDR protocols, “sprint + silence” scheduling, “red button” registry, agentic interaction protocols with AI), ensuring increased speed and quality of decision-making without loss of subjectivity and responsibility.
The novelty lies in the formalization of “applied anthropotechnics” — a system where attention is treated as capital, silence as liquidity, meaning as profitability, and AI as a scalable cognitive circuit.
Practical implications concern entrepreneurial education and human capital development policy; limitations are outlined (risk of reductionism, protocol transferability, metric validation), as well as directions for future research (longitudinal multisite designs, cross-cultural comparisons, governance standards for AI agents).

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