Systems I run every day
Running them myself is how I find the fragile parts before you do.
n8n Queue-Mode Automation Platform
Your automations get the same setup I trust with my own work. One heavy job cannot take the rest of the system down.
A horizontally scaled n8n deployment: queue mode with dedicated worker and task-runner containers on Postgres 17 and Redis.
See how it was built RunningBusiness OS Content Pipeline
Content that used to need a free afternoon now collects itself, and turning it into assets is mostly automated.
A pipeline that collects business content from YouTube and repurposes it through Claude Code skills into NotebookLM, GPT Image, and GoHighLevel.
See how it was built Running as recurring scheduled tasksAgentic Lead-Generation Pipeline
Agents can do the finding and the first draft, and you still approve everything before it reaches a customer.
Agents that source businesses from Google Maps, qualify them by web presence, build a mock site on Vercel, and report back through Telegram.
See how it was built Running continuouslySelf-Hosted Infrastructure Stack
If you would rather own your stack than rent it, this is the setup I run daily.
Around 30 Docker stacks, about 25 running containers: reverse proxy, SSO, VPN egress, GPU photo ML, documents, search, and an LLM gateway.
See how it was builtWant a system like these built for you?
Tell me what you are trying to automate. A call is usually enough to scope it.