Most People Use 20% of Claude. Here’s What the Other 80% Looks Like.
Most people who use Claude regularly are extracting about 20% of what it can actually do. Not because the rest
Most people who use Claude regularly are extracting about 20% of what it can actually do. Not because the rest
TL;DR: Someone on Reddit compiled 70+ unofficial ChatGPT slash commands, like /steelman, /failuremap, and /driftcheck, that GPT recognizes without any
Yesterday, v0.6.0 of a Claude Code prompt improver plugin shipped on GitHub. The idea started simple. The twist is how
Most people are quietly convinced they’ll never get good at AI. They open a chatbot, type a vague question, get
I lost count of how many times I’ve typed a lazy prompt, hit enter, and then quietly hoped the AI
Small business owners pour money into ads and blame the algorithm when nothing converts. The algorithm isn’t the problem. The
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.