Real Agentic-Nets built and run: pipelines, teams, and autonomous systems in action.
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
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
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
Your Agile Team, On Telegram, Ships Code While You Chat What if you could hire a full software team (a Product Manager, an Architect, a Developer, a QA Engineer, and a DevOps) and reach them through a Telegram message? No
Autonomous Intelligence Gathering with Agentic-Nets What if a system could crawl websites, monitor forums, poll RSS feeds, analyze content, synthesize knowledge, and publish articles — all without a single hand-written scraper? 9 nets, 55 transitions, zero lines of custom pipeline
What if you had an AI agent that understood your entire platform — not just one net, but all of them? An agent that could search documentation, diagnose errors, delegate repairs to specialists, and synthesize everything into actionable advice? This
The Review-Fix-Test Pipeline — Three Agentic-Nets That Autonomously Audit, Repair, and Validate Your Codebase What if you could drop a single sentence like “review error handling across the system” into a place, walk away, and come back to find code
The Pipeline Orchestrator — When an Agentic-Net Runs Your Entire CI Pipeline What if your CI pipeline wasn’t a YAML file, but an autonomous agent that reads a plain-English request, figures out which modules need attention, reviews them, fixes the
