Blog
Why AI automations break, and how to run them unattended.
July 28, 2026
How We Build Secure Agents with Composio
You can't prompt your way to security, and you can't sandbox your way to reliability. The four walls we build at Golemry, and why oversight is the layer above them.
July 7, 2026
The AI Automation Landscape in Four Quadrants (and the One Nobody Has Solved)
AI automation tools sort onto two axes: attended or unattended, deterministic or agentic. Three quadrants are handled. The unattended, judgment-heavy one is the quadrant nobody has solved.
June 22, 2026
Your n8n run is green. The AI step still got it wrong.
n8n logs every node and reports success, but can't tell when an AI step quietly shipped wrong output. The silent failure mode of AI workflows, with a real flagged run and what catches it.
June 12, 2026
n8n, Claude, Gemini, OpenClaw, and Hermes compared (2026): where should a recurring AI task live?
Workflow builders, built-in agent schedulers, and dedicated job layers fit different AI tasks. See how n8n, Claude, Gemini, OpenClaw, Hermes, and Golemry compare, and when an n8n alternative fits.
June 9, 2026
Agent Automations You Don't Have to Babysit
Setting up agent automations is easy now. Trusting them to run unattended is not. The missing piece is a separate overseer that watches each run so you don't have to.
March 20, 2026
Why AI Automations Fail: The Capability-Reliability Gap
AI models keep getting smarter, but not more reliable. The gap between what AI can do and what it does consistently is where most automations quietly break.
March 18, 2026
Why Your AI Agent's Output Gets Worse Over Time
AI automations work on day one, then quietly degrade. The problem usually isn't the prompt. It's that nothing reads the runs as the world moves.
March 17, 2026
From OpenClaw Cron Job to Production Automation: What's Missing
AI cron jobs work in demos and break in production. What's missing is the overseer: something that reads each run before its output ships.
March 16, 2026
The Five Steps of AI Automation (and Where Most Tools Stop)
AI automation is a ladder: create jobs from conversation, run them in the cloud, scope access, check output, review at scale. Most tools stop at step two.