Notes on building and running systems.
Automation, operations, and AI — written plainly. Each post is drafted through my own n8n + AI pipeline and edited by me; the content engine is itself one of the systems.
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AI agents are just automations that can make a call
How to tell an AI agent you can leave running from one that quietly breaks, and the exact guardrails I put on every one I build.
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Why your email lands in spam, and the DNS fix most people skip
Why inboxes quietly filter small businesses now, and the exact order to fix it so your invoices, reminders, and outreach actually land.
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What to automate first, and what to leave alone
A simple test for which work is worth removing, which to keep human, and why most automation projects start in the wrong place.
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When owning your AI stack beats paying per token
When running models on your own hardware is cheaper, more private, and more predictable, and when the cloud is the smarter call.
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Make your business readable to AI, not just to people
Why buyers' AI assistants now read your site before they do, and what makes you legible to the reader doing the first round of research.
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I don't do tasks. I build systems.
The difference between doing the work and removing it, and why a system that needs you watching it was never a system at all.
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What 115 articles a day actually requires
SourceRated publishes all day with no one in the loop. Here's the unglamorous machinery that makes 'autonomous' actually mean autonomous.
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