By Dor Arad

Articles on technology,
business and innovation.

Current perspectives and practical writing on the forces shaping products, companies and markets.

New — September 29, 2026

Current articles

01AI Agents, Product & Entrepreneurship

From Demo to Decision: Designing a 30-Day AI Agent Pilot

A product framework for workflow selection, tools, authority, evaluations, tracing and decision gates—so an AI agent pilot proves value rather than producing a striking demo.

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02IoT, Product & Systems Engineering

A Pilot Is Not a Demo: Designing IoT Field Validation That Produces Decisions

A practical framework for IoT pilots that test radio, energy, security, operations and economics—not just whether a device can work once.

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03Blockchain, data and public trust

When Public Data Becomes Evidence: What Blockchain Can Change in Official Statistics

A new BIS prototype anchors official statistics to a public ledger. The deeper product lesson is how to prove provenance and integrity without confusing verification with truth.

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04Web, identity and security

WebAuthn Level 3 Is a Standard: Passkeys Become Product Infrastructure

W3C published WebAuthn Level 3 as a Recommendation on August 25, 2026. A practical product plan for passkeys, recovery, compatibility and measurement.

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05SaaS and operational resilience

After the GitHub Outage: Seven Lessons for Resilient SaaS

GitHub reported a 7-hour, 47-minute outage on August 17, 2026. What product and engineering leaders should learn about capacity, dependencies and recovery.

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06Web & Accessibility

ARIA in HTML Was Updated: Accessibility Is a Product Contract, Not a Patch Layer

The W3C update of 11 August 2026 clarifies where ARIA helps, where semantic HTML is stronger and how accessibility becomes a product and engineering discipline.

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07Fintech, Crypto & Regulation

MiCA After the Transition: Authorisation Is Only the Beginning of the Operating Product

How the end of MiCA transition changes onboarding, orderly exit, communication, AML controls, cross-border design and management metrics for crypto services.

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08Digital Banking

Digital Banking Starts with Architecture, Not an App

How APIs, real-time data and operational controls turn digital banking into a reliable, adaptable system.

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09Digital Money

Programmable Money: Innovation Still Needs an Anchor of Trust

The promise of programmable money, tokenised deposits and intelligent payments—and the foundations responsible adoption requires.

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010Blockchain

Blockchain as Business Intelligence: From Transparency to Transaction Insight

How on-chain data can support risk management, operational investigation and better decisions.

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011Blockchain & Fintech

Tokenisation and Atomic Settlement: Turning a Fragmented Process into One Action

What tokenisation can change in financial markets, and why interoperability and governance determine the outcome.

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012Physics & Technology

Quantum Sensing: When Fundamental Physics Becomes a Technology Tool

How superposition, coherence and quantum measurement can enable more sensitive sensors.

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013Photonics

From a Single Photon to a Product: Physics Expands Sensing and Communication

What single-photon detectors and photonics teach us about moving from a laboratory result to a digital product.

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014Applied Mathematics

The Applied Mathematics Behind Modern Digital Systems

Optimisation, probability, graphs and control theory as practical tools for building products.

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015AI & Web

How AI Is Advancing the Web—and What Still Requires Human Judgment

What changes in design, development, content and accessibility when AI enters every stage of a website lifecycle.

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016Fintech & Payments

How to Build Modular Payment Infrastructure: Behind ZeroFee Pay

Dor Arad explains the product architecture behind ZeroFee Pay—from provider orchestration and identity to events, reconciliation and developer experience.

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017Product Strategy

Can a ZeroFee Model Work? Economics, Transparency and Payment Innovation

A practical analysis of ways to reduce payment fees without shifting hidden costs to customers and businesses.

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01What the field taught me about building teams02From a technical idea to a product people use03Building responsibly in a changing financial world04Why entrepreneurs should learn to think like engineers

What the field taught me about building teams

Leadership is tested less when everything works and more when information is incomplete, pressure rises and people need direction.

Trust before authority

A title can grant authority, but it cannot grant trust. Trust grows through consistency, fairness, listening and the willingness to own difficult outcomes. Strong teams act because they understand the purpose and believe their leader sees both the mission and the people carrying it.

Clarity is an operating tool

Under pressure, organizations often add more meetings, presentations and management layers. Teams usually need the opposite: a clear objective, explicit priorities, boundaries for action and someone prepared to decide. Clarity is not oversimplification; it is the result of disciplined thinking.

Calm is a professional capability

Calm does not mean indifference. It means staying connected to reality while the system around you reacts emotionally. Preparation, practice and honest debriefs make it possible to separate facts from assumptions and prevent panic from becoming policy.

Learn without blame

A learning team looks for the mechanism behind an outcome, not merely a person to blame. What was known at the time? Which assumption failed? What will change next time? Accountability remains clear, but it becomes fuel for improvement rather than a tool of fear.

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From a technical idea to a product people use

The distance between an impressive idea and a useful product is measured by how quickly a team learns what problem truly matters.

Begin with the pain

Builders naturally fall in love with solutions. A useful product begins with a precise description of the problem: who experiences it, how often, what they do today and what the current situation costs them.

Turn assumptions into questions

Every business plan contains assumptions about customer behavior, willingness to pay, integration and retention. Write them down, rank them by risk and design the smallest experiment that could disprove the most dangerous assumption first.

The first product is a learning instrument

A first release should not prove that a team can build everything. It should answer an important question at a reasonable cost. Sometimes that means a prototype, a manual service behind a simple interface or a narrowly scoped workflow.

Measure behavior, not enthusiasm

Compliments are easy. Repeat use, workflow adoption, referrals and payment are stronger signals. A thousand registrations may be less valuable than ten customers for whom the product has become essential.

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Building responsibly in a changing financial world

In digital finance, innovation and responsibility are not opposing forces. Products designed to last require both.

Technology does not remove trust

Blockchain changes how actions can be verified, but customers still need to know who is responsible, what happens during a failure and how their money and information are protected. Code can reduce dependence; it cannot replace governance and communication.

Regulation belongs in product design

When compliance enters only at the end, it feels like an obstacle. When it enters at the start, it becomes a design constraint that can produce better architecture, clearer permissions, stronger records and more reliable customer experiences.

Explain risk in human language

Customers should not need expertise in cryptography to understand what may happen to their funds. Fees, execution times, volatility, liquidity limits and operational risks should be communicated directly before a decision is made.

Security is a continuing process

A financial system is never simply finished and secure. Threat modeling, access control, monitoring, response plans and incident review must continue throughout the life of the product.

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Why entrepreneurs should learn to think like engineers

Engineering thinking is not limited to circuits or code. It is a practical way to turn uncertainty into a system of questions and decisions.

Decompose before building

A large problem often feels impossible because several different problems are hidden inside it. Separate customer need, distribution, revenue, legal risk and operational capability. Decomposition does not reduce ambition; it makes ambition manageable.

Define real constraints

Budget, time, people, reliability and regulation are part of the product. Ignoring them produces a presentation. Naming them creates a useful design space for solutions that can survive contact with reality.

Find the failure point

Ask which assumption could collapse the model, which supplier is a single point of dependency and what happens if growth is faster or slower than expected. These are not pessimistic questions; they create resilience before pressure arrives.

Combine analysis with empathy

Good engineering thinking does not turn people into numbers. It creates room to understand how people use a system, what they fear and what earns their trust. Strong founders combine analytical discipline with human insight.

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