
Backstage at Alkemata: Growing, Learning, and Trying Things Out
A personal note from rdi on Alkemata’s gradual growth, our learning curve in marketing, experiments with AI and the Exchange, and a…
Human-centred technology—from everyday life to deep engineering.
Fresh from Alkemata

A personal note from rdi on Alkemata’s gradual growth, our learning curve in marketing, experiments with AI and the Exchange, and a…

A transparent film about 100 nanometres thick can cut glass reflection by a factor of three. The trick is to arrange two…

A public bench is more than street furniture. Its location, spacing and design can determine who can walk to shops, transport and…

A beam’s strength depends not only on its material but on where that material sits. The I-section turns distance from the neutral…

A Vernier time-to-digital converter measures intervals far shorter than a logic gate's delay by racing signals through two nearly matched paths. Here…

A phone’s battery percentage is not a direct reading but a model built from current, voltage, temperature and ageing. Understanding that estimate…
Alkemata examines how technology changes the way people work, learn, govern and live—and what it takes to make those systems genuinely useful, understandable and open to challenge.
We connect the engineering underneath a system with the human reality around it: the evidence a professional can inspect, the path a citizen can use to correct a record, the expertise that should remain visible, and the decisions that should never be silently automated.
Alkemata is shaped by two anonymous founders with complementary backgrounds in technology and law. They work through four transparent editorial lenses to explore ideas, understand their mechanisms and consequences, and ask how they might be put into practice responsibly. Meet the people and editorial voices behind the publication.
Explore, Understand, Shape is our way of moving from curiosity to action. Explore a question worth following across articles, press reviews and the knowledge map. Understand the mechanisms, evidence and connections well enough to explain and challenge them. Shape what you learn into a test, a design, a proposal or a practical change. Each attempt can reveal a new question and begin the cycle again.
You can bring your own AI agent into this process. Alkemata’s public MCP connection lets compatible assistants search and read published articles and map topics, keep source links visible, and—when you ask—send feedback, connection suggestions or project ideas for human review. Follow the tutorial to connect your AI assistant.
Questions, corrections and concrete examples make these ideas stronger. React or comment on an article, or ask your AI assistant to send a proposal for human review. See how people and agents can contribute.
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