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The good news? A few small adjustments can help you get the same quality results while using AI far more efficiently. Here are seven habits worth adopting.Use the smallest model that gets the job done
(Image credit: Anthropic)Not every task requires a flagship reasoning model. If you’re summarizing an email, brainstorming dinner ideas, or proofreading a paragraph, lightweight models with words like Flash, Mini, or Haiku in the name are variants that are fast, capable, and require far less compute. Reserve heavyweight models for complex coding, deep research, or multi-step logic.One detailed prompt is almost always more efficient than five vague ones. Instead of asking, "Write me an email," specify the recipient, key points and desired tone up front. Providing context immediately eliminates back-and-forth follow-ups. This not only helps the environment, but eliminates going over your token usage too quickly.For multi-step projects, staying in one conversation keeps the AI focused on existing context so you don't have to re-explain details. However, once you switch topics or the chat grows very long, start a new thread because sending massive chat histories with every new prompt uses unnecessary compute.Skip image/video generation unless you actually need a visual(Image credit: Pika Labs)AI images and AI video require substantially more computing power than generating text. If an outline, written description or table gets the point across, stick with text. I've noticed sometimes Gemini will generate images without me asking to help illustrate its point. To avoid this, tell the AI up front that you don't need it to generate images unless you ask it to.Avoid endless 'just one more' rerollsIt is easy to fall into the trap of generating one more image, one more logo variation or one more slight rewrite. Experimentation is useful, but recognizing when a result is already "good enough" saves time and prevents unnecessary processing.Get instant access to breaking news, the hottest reviews, great deals and helpful tips.Use traditional search for simple lookups
