Tech Tips

Photographer: Nahrizul Kadri | Source: Unsplash ​You're Using AI Wrong — And the Data Proves It Anthropic analyzed nearly 10,000 real Claude conversations. Here's what separates high-performers from everyone else. Most people treat AI like a vending machine. You put in a prompt, you get out an answer, and you move on. If the output looks good, you use it. If it doesn't, you try again with a slightly different prompt and hope for better luck. That approach is leaving a massive amount of value on the table — and now we have the receipts. Anthropic just released their AI Fluency Index , a behavioral analysis of 9,830 real conversations with Claude. The findings reveal a clear gap between users who are genuinely getting powerful results and those who are essentially spinning their wheels. The good news: the habits that separate them are learnable. The surprising news: most of us aren't practicing them. Here are five data-backed insights that should change how you work w...

​AI Arms Race Heats Up: Anthropic Unleashes Claude Opus 4.6 + Multi-Agent “Agent Teams,” While Perplexity Bets Big on Model Council. The AI world never sleeps—and right now, in early February 2026, it feels like it’s sprinting. Two major labs just dropped features and model upgrades that could meaningfully change how developers, researchers, and power users get work done. Anthropic rolled out Claude Opus 4.6 , its most capable model to date, along with an experimental Agent Teams system that enables multiple AI agents to collaborate like a real dev team. Almost simultaneously, Perplexity AI introduced Model Council , a clever ensemble approach that brings together several frontier models in a virtual conference room to debate and refine their answers. These aren’t incremental tweaks. They’re signs that the frontier is shifting from single-model chatbots toward coordinated, multi-agent, multi-model systems that handle complex, real-world tasks with dramatically less human oversight. Le...