Veronica Hylak is an AI product strategist, founder and former co-chief executive of Metalinguist, and creator of Hey AI, a project devoted to explaining artificial intelligence to people outside the technology industry. She builds and evaluates AI products around a practical question: Can the people using a system understand what it changes, where it fails, and when human judgment remains essential?
From autonomous systems to language technology
Hylak studied concert piano and worked at Sony Music Entertainment before teaching herself software development and moving into product management. Her transition into technical product leadership led to government-related autonomous drone-ship projects involving computer vision, mission-control systems, and operational AI.
She subsequently founded and helped lead Metalinguist, which developed translation, interpreting, and AI-workflow software for educational and public-sector customers before closing in September 2025. Her mother, language-industry professional Bridget Hylak, helped introduce her to localization; the pair later collaborated on evaluating language-technology products.
Their evaluation framework for localization tools distinguishes routine AI-generated output, creative work, and highly technical assignments, weighing usability, translation quality, workflow friction, and the level of human oversight each task requires. Hylak also participated in the AI Localization Think Tank and received TAUS’s AI Revolutionary recognition after winning its 2023 AI Readiness Contest.
- Customer-centered AI product storytelling: Hylak maintains that founders should establish a recognizable customer frustration, offer an accessible mental model, and demonstrate a concrete improvement. Disconnected security alerts, buried Slack investigations, and information scattered across spreadsheets tell prospective buyers more than terminology about orchestration or agentic workflows. Her AI Engineer World’s Fair presentation applies this approach to product positioning and sales.
- Human-centered localization: Translation and interpreting systems need different balances of automation and professional oversight depending on whether work is routine, creative, or technically sensitive. Hylak evaluates products by whether they reduce administrative friction while preserving the judgment the assignment demands.
- Plain-language AI observability: Teams need to detect unexpected AI behavior, understand its operational consequences, and intervene before failures escalate. Hylak favors familiar incidents and visual analogies that make monitoring intelligible before introducing architectural detail.
Through Hey AI and her product work, Hylak addresses AI reliability, workforce disruption, copyright, and the gap between compelling demonstrations and dependable systems. Her focus is the human consequence of deployment: whether a product earns understanding and trust alongside adoption.
