Business processes and operational tasks (33.4%) and content production (16.4%) account for half of Claude Cowork usage; users structure information to deploy their domain expertise more effectively.
Model selection determines the available intelligence, while effort level controls how intensively Claude works—such as how many files are read, tests executed, and steps processed.
Anthropic has discovered a neural region in Claude that processes concepts independently of text flow, enabling new insights into the model’s internal architecture.
As model capability increases, prompting strategies and the economics of software development change, but not the fundamental requirements for value generation.
Vera automates security testing for autonomous AI agents through a three-stage process of risk discovery, combinatorial generation, and evidence-based verification, uncovering critical security flaws in production agent frameworks.
Alberta reviewed 466 million lines of government code in 20 hours using Claude and fixed vulnerabilities that would have taken conventional methods 6.5 years to address.
Claude has developed an internal “workspace” that enables internal reasoning and multi-step thinking, organizing itself similarly to conscious thought.
