AI Guides

Every developer eventually does the same thing. They pick one model, Claude, Codex, GPT-4, commit to it, and start building. […]

TL;DR: Pair any essay topic with a real-world constraint and students can’t just paste an AI answer. Every submission becomes

New data: WriteHuman AI’s built-in checker returned a 98% human score on text that Originality.ai simultaneously flagged as 100% AI.

Someone in our Slack dropped a screenshot last week. A “really good prompt” from three months back. They pasted it

Yesterday, BotCircuits shipped an open-source agent that rethinks how the agent loop actually works. The architecture looks simple at first.

Most students study in one direction. Question in, answer out. Repeat until the exam. That works for memorization. It breaks

A new build landed on r/PromptEngineering yesterday, and it rethinks LLM memory from the ground up. Step 2 is where

I’ve always wanted those buttery-smooth FPV drone shots you see in travel reels. You know the ones, where the camera

Spreadsheets have a way of ruining a perfectly good afternoon. You ask an AI to build one, it spits out