№ 02 — COURSE · INTERMEDIATE

Build a Windows Agentic OS

9 lessons

The full build track: from picking an agent-native stack to a disciplined, always-on agentic OS on your own Windows machine — loops, gates, orchestration, local compute, and the ledger that catches silent failures.

WHAT YOU WILL BE ABLE TO DO

01Choose an agent-native stack you won't have to rip out
02Decide workflow vs agent for each job, and wire durable n8n workflows
03Engineer agentic loops with real gates instead of vibes
04Run sober agents: discipline, orchestration, observability
05Stand up local AI infrastructure and a failure-catching content ledger

This track orders the agentic-OS research into the sequence we actually built in: the master plan first, then the stack decisions, then the discipline layers that keep an always-on system honest. Each lesson is a full research piece — read them in order and you retrace the working build, including the failures the write-ups don't hide.

LESSONS

01The complete agentic operating system I'm building on Windows: the six-layer stack I own, and the honest 24/7 gaps🔒 FREE ACCOUNT
02The Agent-Native Stack: What to Standardize On When AI Agents Do the Building🔒 FREE ACCOUNT
03When to use a workflow and when to use an agent: the decision that determines everything else🔒 FREE ACCOUNT
04No-code automation that survives production: the data model, the failure modes, and the build sequence for durable n8n workflows🔒 FREE ACCOUNT
05Agentic loop engineering: the loop, the harness, and the cost discipline that ships agents🔒 FREE ACCOUNT
06How to Turn Drunk AI Agents Sober: The Harness for Coding Without Babysitting🔒 FREE ACCOUNT
07Production multi-agent systems live or die on the wiring, not the model🔒 FREE ACCOUNT
08Owning your AI stack: local inference, sovereign compute, and the open-source tools that replace paid SaaS🔒 FREE ACCOUNT
09Your pipeline is lying by staying silent: the append-only ledger that catches broken publish packages🔒 FREE ACCOUNT

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