AI Guides

Yesterday, an open-source agent called Hermes quietly climbed to the top of OpenRouter’s charts. Nous Research built it. The community […]

Six months of building agent prompts. Five assumptions that turned out to be completely wrong. One pattern sitting underneath all

Marcus sent me a Slack message on Tuesday. He’d pasted 15 of his own emails into Claude, typed “write like

TL;DR: One-line email prompts give you HR robot speak. Give the AI a role, a working method, and quality rules,

I read those AI newsletters every week, and honestly, half the time they pile up unread in my inbox until

I’ve been tweaking prompts for years, and most “prompt templates” feel like clutter. So when I came across this breakdown

I used to think the people getting magic out of Claude were just better at prompting. Turns out that’s not

Paste your system prompt into most token counters and you get a number. That’s it. A number. This one does

He tweaked a prompt. Looked at two outputs. Decided it “looked better.” Moved on. Sound familiar? Most of us run