September 17, 2026

Tomasz Zieliński

Tomasz Zielinski
Tomasz earned a B.Sc. in Computer Science from AGH University of Kraków and an M.Sc. in Distributed Systems from TU Delft. He built streaming pipelines for logistics platforms and hardened event-driven systems that kept trucks moving. His favorite projects are “boring” on purpose: predictable, observable, and fast. In print, he demystifies data mesh, incident response, and the art of controlling blast radius. Tomasz leads postmortem workshops, contributes to open-source connectors, and maintains a living playbook for on-call rotations. He mentors student engineers, tinkers with woodworking jigs, and pulls espresso shots at sunrise before cycling cobbled streets when the city is still.
    AI Ethics

    Model Cards and System Cards: Documentation That Satisfies Auditors

    A model card documents one trained model; a system card documents the whole deployed product built around it. Auditors under the EU AI

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    AI Infrastructure

    Heat Reuse: Turning Data Center Waste Heat Into District Heating

    AI data centers running liquid-cooled GPU racks produce waste heat at 55-65°C — hot enough to sell directly into municipal district heating networks

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    Agentic AI

    Human-in-the-Loop Checkpoints: Where to Put Approval Gates in Agent Workflows

    An approval gate is only useful where a human can add information the agent does not have, and useless everywhere else. Gate every

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    Agentic AI

    Agent Cost Control: 10 Ways to Stop Runaway Token Spend

    Agent costs are unbounded by default because the loop decides how long it runs. Ten controls ranked by how much they save, why

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    Scaling Inference

    Prompt Caching and Batching: Cutting Inference Costs Without Losing Quality

    Prompt caching reuses the processed prefix of a prompt; batching amortises fixed overhead across requests. Both cut cost without touching output quality, which

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    Urban Robots

    The Evolution of SLAM Technology for Urban Robots: A Complete Guide

    Simultaneous Localization and Mapping (SLAM) is the computational “holy grail” of mobile robotics. It is the process by which a robot—whether it be

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    Collaborative Robots

    The Evolution of Collaborative Robots (Cobots) in 2026

    As of March 2026, the landscape of industrial automation has shifted from “isolation” to “integration.” For decades, robots were cordoned off behind yellow

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    Physical AI

    Physical AI: Why Intelligence is Finally Leaving the Screen

    For the past decade, artificial intelligence has been a ghost in the machine. It lived in our pockets, processed our emails, and generated

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    Zero-Click Operations

    Zero-Click Operations: The Future of Internal Business Process

    The era of the “one-click” solution is fading. For the past decade, digital transformation focused on making human tasks easier—reducing five clicks to

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    AI

    AI Agent Onboarding: How to Integrate AI into Corporate Culture

    The landscape of the modern workplace is undergoing its most significant shift since the Industrial Revolution. As of February 2026, the conversation has

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    Culture

    AI Influencers: Virtual Humans Building Real Followings in 2026

    In the infinite scroll of social media, authenticity has long been the currency of choice. We follow people we trust, people who live

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    Culture

    Emerging Tech Hubs: The Rise of Rural and Secondary Cities in 2026

    The geography of innovation is undergoing a seismic shift. For decades, the technology sector was synonymous with a handful of dense, expensive metropolitan

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    Culture Creator Economy

    Influencer Legal Issues: Copyright, Sponsorship Disclosure, and Taxes

    Disclaimer: The content provided in this article is for informational purposes only and does not constitute legal, financial, or tax advice. Laws and

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    Culture Remote Work

    Outcome-Based Performance Models vs. Time-Tracking: The Struggle for Control

    The modern workplace is currently navigating a profound identity crisis. For over a century, the primary currency of employment was time. You traded

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    AI Automation

    AI Agents in Back-Office Finance: From Invoicing to Reconciliation

    The back office of a finance department has traditionally been the engine room of the enterprise—essential, reliable, but often slow and labor-intensive. For

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