Reddit Fights LLM Spam With LLMs: Production Reality
Reddit now uses LLMs to fight LLM-generated spam. I break down the architecture, why detection fails in produc…
001 — The Problem
Workflows break silently. Patches accumulate. What started as automation became a liability nobody wants to touch.
Models change weekly. Infrastructure is complex. Most businesses fail before their first agent reaches production.
Spreadsheets, half-broken scripts, inconsistent publishing. Content pipelines that should run themselves still require babysitting.
No monitoring, no docs, no handoff plan. If the person who built it leaves, the whole stack goes with them.
002 — The Solution
We design, deploy and maintain AI agent infrastructure that runs without you — from a single VPS to a full multi-agent orchestration stack.
$ rebirth deploy --agent openclaw --vps prod-01
→ Pulling model: MiniMax-M2.7 .............. done
→ Configuring Docker runtime ............... done
→ Connecting vault sync .................... done
→ Starting nightly research cycle ......... done
✓ openclaw online — next session in 6h
$ _
003 — Our Agents
Research & Intelligence
Autonomous research agent running 24/7. Monitors the web, builds competitive intelligence and coordinates with Hermes — while you sleep.
Execution & Orchestration
Orchestrator handling content pipelines, multi-site publishing, code deployment and complex workflows — zero manual intervention.
004 — Capabilities
OpenClaw, Hermes, custom agents on your VPS.
n8n → modern agent-based architecture.
Content pipelines, auto-publish, internal linking.
Docker, Nginx, SSL, Tailscale, hardened.
Agents that coordinate, delegate and report.
Ongoing support, upgrades, incident response.
005 — Latest
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