Vision and thought-leadership on agentic systems, orchestration, and living automation.
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
You have the runtime. You have personas with lanes and journals. You have nets that build themselves on first contact. The next ceiling isn’t another transition kind or another persona it’s what you do with everything the runtime has already
A pattern essay. The follow-up to The Reflexive Advisor Team — lifting the general shape out of the specific net, so you can see Agentic-Nets as a substrate for designing teams of personas, not just clever pipelines. From one agent
Govern your agents before they govern you. Prompt-based agents are great until you put them anywhere near production. The context resets, the permissions are hand-waved, the tool calls are unauditable, the state lives in a chat transcript that nobody can
Nets That Build Nets What happens when you give an AI agent inside a Petri net the ability to create other agents — inside the same net? You get a self-extending multi-agent framework where the orchestration topology builds itself. We
Why Coding Agents Are the Biggest Productivity Leap Since Git How a solo developer with Claude Code can compress a two-week sprint into a single morning — and what that means for the future of software engineering. The Gap Between
