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
The agent that does not forget you when the tab closes Most chat agents are tourists. They answer your question, the conversation ends, and everything they learned about you evaporates. The next session starts from zero: same introductions, same context
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
I Asked My AI Agile Team to Change a Button — and Watched It Happen Live A new walkthrough video. I open the read-only monitor, type one plain sentence asking to change the background color of the buttons on my
From One Sentence to Live Deploy in 2:44 I dropped a single sentence into a Petri-net inbox at 15:48:56 UTC. By 15:51:40, a lime-green banner with the exact text I asked for was rendering on a public production site. No
A pattern essay and a milestone. The follow-up to [Personas, Tools, and Teams That Talk to Themselves](https://alexejsailer.com/2026/04/personas-tools-and-teams-that-talk-to-themselves/) — except this time the team doesn’t just talk to itself. It ships code. Real commits, in a real repository, with no
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
A walk-through of building a six-net, self-learning life-advisor system on AgenticNetOS where the agents reflect, talk to each other on a schedule, crystallize shared insights, and fuse multi-domain advice into one answer — all between your questions, while you’re not
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
