Posts tagged “Automation”

The Settings Screen Is Gone. The Setup Work Isn't.

AI tools deleted visible configuration, and the setup work moved where buyers cannot see it. The 2026 tooling market ran the experiment at full scale: easy to try, easy to cancel, and billing units that admit nobody has settled what AI value costs. We built the chain that measures conversions from AI, and we publish our own numbers, zeros included.

Why We Built a Single Source of Truth for Client Data

All performance data for all clients flows into one PostgreSQL database. Every number can be traced to the exact API response that produced it, and reports are reproducible at any time.

The Automation Stack: How n8n and MCP Run Our Marketing Operations

A 12-person team managing 30 clients requires significant automation. We use n8n for workflow automation and MCP for AI-assisted operations, with 240+ tools across three servers.

What Breaks at 2 AM: Why Marketing Needs Automated Infrastructure

Marketing infrastructure breaks silently. Automated monitoring catches site errors, tracking breaks, budget overruns, and broken images in hours instead of weeks.

How We Monitor 60,000 Data Points a Day

Choice OMG monitors 60,000+ data points daily through four independent pipelines feeding a centralized PostgreSQL database, creating an auditable chain from raw API response to client report.

n8n Version 2.0 Announced: What It Means for Automation Reliability

n8n 2.0 focuses on structural improvements to reliability, security, and maintainability for automation workflows.

n8n Becomes MCP-Ready: Enabling Secure AI-Driven Automation

n8n now supports Model Context Protocol, enabling secure connections between automation workflows and AI systems.

Competitor Monitoring Without the Enterprise Price Tag

Build a competitor monitoring system using open source tools like Changedetection.io, Scrapy, and AI-powered analysis.

The End of Unlimited AI: Why Envato Retreat Signals a Market Correction

Envato slashed AI generations from unlimited to 10 per month, signaling a broader market correction for the entire SaaS industry.