Trustworthy agents in practice
… We go into greater technical detail on this topic in our submission to NIST's Center for AI Standards and Innovation CAISI on agentic security. …
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Harness design for long-running application development
… Features 1. …
Agents for financial services
… Carlyle has adopted Claude as a key part of our AI technology stack because of its strong coding capabilities, agentic reasoning, and continual advances in both the underlying models and key features. …
Equipping agents for the real world with Agent Skills
… In the coming weeks, we’ll continue to add features that support the full lifecycle of creating, editing, discovering, sharing, and using Skills. …
How we contain Claude across products
… Over the past two years, we’ve shipped three primary agentic products: claude.ai , Claude Code, and Claude Cowork. …
Introducing Claude Opus 4.8
… Opus 4.8 launches alongside several new features. …
Measuring AI agent autonomy in practice
… Next, we developed a collection of metrics that draw on data from both agentic uses of our public API and Claude Code , our own coding agent. These offer a tradeoff between breadth and depth: Our public API gives us broad visibility into agentic deployments across thousands of different customers. …
Long-running Claude for scientific computing
… Groups who do have that expertise have built differentiable solvers in JAX with a subset of the features present in CLASS. …
Claude Code auto mode: a safer way to skip permissions
… We keep an internal incident log focused on agentic misbehaviors. …
Building Effective AI Agents
… This might mean not building agentic systems at all. Agentic systems often trade latency and cost for better task performance, and you should consider when this tradeoff makes sense. …