With the "think" tool, we're giving Claude the ability to include an additional thinking step—complete with its own designated space—as part of getting to its final answer.
Claude is genuinely impressive, but it doesn t remove the need to understand programming fundamentals. You still need to know how systems connect, where data lives, how state is managed, what environments are (dev vs staging vs production), how deployments work, and how things actually run (& fail) in the real world.
For developers, Claude is an incredible accelerator. For non-programmers, it can feel magical at first, but at some point, real engineering knowledge becomes unavoidable.
I really like Claude, and I use it nearly daily. I feel like I'm probably missing out on taking full advantage of it though, because I've never used Projects.
Any tips for using it effectively? Is it better to keep the Projects very niche? Or does it work alright with general/ongoing work?
Claude Science is your AI workbench for scientific research. Works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.
The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
Claude Managed Agents is a suite of composable APIs for building and deploying cloud-hosted agents. It handles sandboxing, authentication, tool execution, long-running sessions, and multi-agent coordination, letting teams focus on user experience while shipping production agents up to 10x faster .
Claude 2.1 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and our new beta feature: tool use.
It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.
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