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5 contributions to The Agent Lab
Overwatch:
A full infrastructure topology platform covering roughly 90 nodes — Proxmox hosts, k3s nodes, VMs, LXC containers, Docker services, managed switches, all of it — auto-discovered every 60 seconds from eleven different sources without me touching a thing. It figures out the relationships on its own. Which app uses which database. Which service pulls secrets from Infisical. Which pods run on which k3s node. Which apps authenticate through Authentik. Which nodes mount NFS storage from Zhongli. No manual config. It just knows. Click any node and it pulls up status, metrics, and live logs straight from Loki. Pod logs, systemd journals, all of it right there without opening another tool. The click-to-focus mode is the part that makes me happy. Click Nextcloud and it yanks every real dependency out of the graph and rings them around it with typed directional edges — database, storage, secrets, SSO, what node it runs on. You can see exactly what it needs to survive and what breaks if any of those things go away. When something goes wrong, Overwatch suppresses downstream noise. If a host goes down and takes five services with it, you get one alert for the host, not six alerts for the symptoms. It knows the difference. The n8n workflow embeds a unique key in every ticket subject tied to the specific node and metric that fired. Before creating anything it searches existing tickets and compares — if one already exists it reopens it instead of creating a new one. There's a four-path event router handling alerts, suppressed alerts, resolved alerts, and discovery health events separately. A flood guard per node and metric. A two-hour reopen grace window. Orphan handling for suppressed alerts with nothing upstream. When a real alert fires, a lightweight AI router picks one of seven domain specialists — network, Proxmox, Kubernetes, storage, database, security, or incident. That specialist gets the sanitized alert plus live SSH diagnostics from the affected system, and responds with structured evidence-backed JSON that gets posted back as a triage note. If the situation goes stale it re-triages automatically.
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Overwatch:
Thought I'd share what I've been working on.
Triple-Threat Orchestration System I got tired of AI tools that just do things. Build something, deploy something, write something — and then I find out three steps later that it made a bad assumption in step one that affects everything downstream. Triple-Threat is how I push back on that. It's a structured, gated workflow where three different AI systems each have a specific job, nothing moves forward without passing a gate, and I approve every gate before anything gets built. The coordinator is Hermes — an AI agent with a built-in learning loop that maintains state, enforces the stage sequence, and keeps everyone on task. I don't use it as a general assistant. It runs the workflow. Claude Code does the design and architecture work. Codex handles implementation review and builds the actual runbook. Antigravity (I call it agy) does an independent review of everything Claude Code decided — I make them disagree with each other on purpose, then I decide who's right. Any restart, configuration change, DNS update, secret rotation, or infrastructure action still requires my approval.
Thought I'd share what I've been working on.
0 likes • Aug 17
@Michael Frostbutter it does surprisingly well, actually. I have pulled it out of Hermes and I am converting it to a dbos workflow, for stabily/crash-proof resiliency. Same steps, same prompts, different organization layer. What’s very best is watching Claude code, examine codex and antigravity’s critique of its documentation, ponder it then decide they were right about an omission or choice. Lol
Big update! - Been a while
My apologies for being silent for the past few weeks. I was deep in the interview process for my dream job! Very excited to announce I'm now the very first and Founding Forward Deployed Engineer for n8n! I will be leading the charge for enterprise adoption of n8n!
Big update! - Been a while
0 likes • Aug 17
Whoa!! That is cool! Congratulations!! I love n8n, the more I use it, the more I discover I can do, the more I love it!
What Do You Want to See?
Hey everyone, Before I flood this with content, I want to make sure it’s helpful to all of you! Quick poll: what do you want more of? Vote below and drop a comment if something’s missing from the list. The results drive what I build next.
Poll
4 members have voted
2 likes • Jun 25
It wouldn’t let me select them all, but I’m here for the back and forth and the knowledge. I’ll read the walk throughs and the guides because it’s all a source of knowledge.
👋 Welcome to The Agent Lab. Start here.
Glad you're here! This is a room for people who want to actually build with AI agents, not just watch demos. Whether you wired up your first workflow last week or you've got agents running in production, you belong here. Let's kick it off. Drop an intro in the comments and tell us: 1. Who you are and what you do. 2. How long you've been playing with AI (be honest: "since last Tuesday" is a totally valid answer) 3. What you're trying to build, or what brought you here. 4. One thing you're stuck on right now (someone here has probably solved it) A few things to know: - New stuff drops regularly: workflow templates, build teardowns, and the engineering behind real deployments - No question is too basic. The people who ask are the people who build - No gatekeeping, no fluff. Share what works, ask what doesn't The fastest way to get value here is to engage. Comment on intros, jump into threads, post what you're building. See you in there. — Mike
👋 Welcome to The Agent Lab. Start here.
0 likes • Jun 14
Felton - 25 year system admin/engineer - been working in IT automation for 2 years (n8n, node-red, power platform, powershell). I have been using “advanced” prompting to assist with workflows the entire time. Doing this in the work place lead me to “homelab” which has turned into a fullblown “problem” lol While doing research on how to write agents to do IT work I stumbled across your git on the same thing, and even commented on a fb post of yours on how I have “designed but not implemented” something similar. Yours is very well done and based on wazuh, mine is based on grafana Loki and systems logs. More like an eyes on glass system, but they are similar, your utilization of the tier models was an eye opener for me. I have a couple of other ideas on “paper” but learning more will be a great help.
0 likes • Jun 16
@Michael Frostbutter I cannot wait to read this! Thank you!
1-5 of 5
Felton Brawner
2
15 points to level up
@felton-brawner-5714
System and automations engineer looking for more knowledge

Active 2d ago
Joined Jun 14, 2026