Enterprise AI adoption has accelerated dramatically, yet fundamental cost misperceptions persist. This paper demonstrates that consumer subscription plans for frontier AI models (Claude Max at $100/month, ChatGPT Plus at $20/month) represent heavily platform-subsidised pricing that bears no relation to actual inference economics. Through detailed token consumption analysis and API pricing calcu...
February 2026 produced the largest monthly venture capital figure ever recorded: $189 billion, of which AI startups captured $171 billion — 90% of the total. Three companies (OpenAI, Anthropic, Waymo) accounted for 83% of that sum alone. But beneath the headline megadeals, a quieter structural shift is underway: seed and Series A funding is flowing specifically into agentic infrastructure — the...
Parts 1 and 2 of this series established the structural case for the Agent Auditor as a distinct professional role and mapped the competency model required to fill it. This final instalment examines the market reality: where the demand is forming, what it pays, which sectors are driving adoption, and how the regulatory environment — in particular the EU AI Act — is accelerating the transition f...
The story starts in a classroom, as most research stories do — though this particular classroom was unofficial. Around 2019, Oleh Ivchenko began running supplementary IT courses at Odessa National Polytechnic University. Not because the institution asked him to, but because the gap between what students were being taught and what the industry actually needed had become too large to ignore. He r...
We describe the public release of a tattoo-based emergency patient identification framework whose conceptual roots trace to OTG-bot — a UNDP-grant-winning civic technology project developed in 2021 for Ukrainian territorial communities. That project received a $10,000 USD grant from the United Nations Development Programme at the Hack Locals 2.0 hackathon and included an automated missing-perso...
Large language model (LLM) based agents are increasingly deployed as autonomous report-generation systems — producing research summaries, analytical outputs, and monitoring digests across extended time horizons without continuous human supervision. This paper examines the fundamental challenges of longitudinal consistency in such systems: context window exhaustion, semantic drift, hallucination...
Interactive comparison of AI-Augmented Agentic Deterministic Architecture (AADA) vs LLM-First Agent paradigms — with real systems, real data, and real citations.
The most consequential question in applied artificial intelligence is not whether a model achieves state-of-the-art on a leaderboard. It is whether the model does something useful when connected to reality — to messy data, constrained infrastructure, and users who need answers rather than probabilities. This article examines what AI actually looks like when it crosses that boundary. Drawing on ...
This paper presents the Stabilarity Research Platform — an open, API-accessible research infrastructure exposing validated machine learning models, geopolitical risk datasets, and decision optimization tools to the global research community at no cost. The platform implements FAIR data principles (Wilkinson et al., 2016), providing composable, versioned endpoints for: (1) medical imaging classi...
Part 1 of this series established the structural case for the Agent Auditor as a distinct professional role — a response to the accountability gaps, hallucination drift, and regulatory pressures that accompany enterprise-scale agentic AI deployment. Part 2 examines what that role actually requires: the specific skill taxonomy an Agent Auditor must hold, the tooling landscape that supports their...