Still wasting tokens on Claude Code? Discover 10 common mistakes you might be making and simple fixes to cut token waste, improve AI responses, and get more out of every session.
Think you're getting the most out of Claude? These might change your mind. We've tested them with real examples so you can see what's possible and which ones are worth trying.
📰 Harvard: Who Gets Heard on AI?
🤖 Sakana AI’s Paper Passed Peer Review
Discover a surprisingly simple prompting technique that gets AI to plan, execute, and work through multiple steps on its own, with far less back-and-forth. One prompt. Multiple tasks.
With powerful reasoning, coding, and complex task-solving abilities, this model is already turning heads. We put it to the test to see what it can actually do, and whether it lives up to the hype.
This guide walks through both paths with real prompts you can use today, 2 practical use case demos, and a side-by-side comparison to help you pick the right fit.
#1 OPEN MODEL UP TO DATE!
This 200K-star GitHub repo lets AI reverse-engineer apps & rebuild their features without source code. Inspect websites, applications, and even compiled software in minutes!?
Your AI business idea looking promising? Start here. Use this 4-part test to quickly check whether your AI idea has real potential before you waste time building it.
REA to Clone ANY, EVERY, EACH Software?
Context engineering starts with a surprising Anthropic finding: 80% less system prompt, no measurable coding loss. Here's how to audit your Claude Code setup.
