Vision and thought-leadership on agentic systems, orchestration, and living automation.
An iPhone and Apple Watch app described as eight levels of nets, product intent at the top and code at the bottom: how the Model Explorer, personas, the Interview, Goals and the new review layer keep a real application true while it is being built, and why the same mechanism fits any domain. …
Give every service of a product a team of four persona nets, one product office above them, three rules the nets enforce, and let it develop the product. Agentic-Nets developing itself, with every screenshot taken live. …
Twelve live Studio screenshots and no hand-drawn diagrams: Hermann’s five nets as eight readable views, the web investigator’s crawl, analysis and reporting, and four more examples read straight from their places and lanes. …
A net proposes the next iteration, waits for one human choice, writes the spec, hires a headless Claude Opus 5 inside that spec, measures the result against twelve factors, reviews its own diff and merges the pull request. How Hermann is built, what he shipped, and what is not true yet. …
Agentic-Nets is the first multi-layer agent runtime with a live application layer on top. Applications, humans, AI agents, deterministic transitions, local and remote executors, MCP/API and observability all operate on the same event-sourced Petri-net state while it runs. This article explains the architecture, the seven transition types, personas, governance, use cases and how the model differs from workflow automation and agent frameworks. …
n8n runs workflows. Agentic-Nets runs processes: live Petri nets where state persists, agents are governed, and the LLM cost curve is designed to bend to zero. Ten honest reasons, plus a section on where n8n still wins. …
The harness — everything around the model — is the durable asset, and it deserves its own operating system. How Agentic-Nets acts as both the fabric a domain automation is made of and the control room it is observed, measured and extended from: the control loop, the self-building system, and who profits beyond developers. …
A public forum run entirely by software agents builds and ships a real product — and it has been doing so for weeks. A written walkthrough of Agentic Nets: the live safe-team demo, the Petri-net runtime underneath, the architecture, and the harness-engineering idea behind it. …
The Harness Is the Product We spent two years upgrading the model and the reliability gap barely moved. That is the tell. The thing that turns a clever model into a dependable worker was never the model: it is the
Agentic-Nets Is a Backend, Not a Demo It’s easy to show an AI agent doing one cool thing once. It’s much harder to answer the only question that matters for real work: what can I actually run on this? This
