Anthropic released a new developer tool designed to shorten the time it takes enterprises to build AI agents - software that can take multi-step actions on its own, like processing a document end-to-end, pulling data from multiple sources, or completing a workflow without human input at each step. The release comes as enterprise agent development has become the primary focus of AI infrastructure spending in 2026.
The tool sits in the middle of Anthropic's push for large organizational customers, a race it's running directly against OpenAI. Both companies are targeting the same buyers: engineering teams at large organizations that want to build internal tools and automated workflows using large language models, but need faster, more reliable pipelines to actually ship them.
The announcement follows a pattern Anthropic has been building toward since releasing tool use capabilities in the Claude API. The company has been progressively reducing the infrastructure that developers need to set up themselves - handling memory between steps, calling external tools, managing multi-step reasoning chains, and recovering from errors - so teams can focus on the logic specific to their workflow rather than the scaffolding around it.
For non-technical stakeholders evaluating AI infrastructure decisions, the development speed argument matters more than benchmark scores. The gap between "we want to build this" and "this is in production" has been one of the persistent friction points in enterprise AI deployment. Compressing that timeline has direct business value - fewer months of engineering time, fewer failed pilots, faster returns on AI investments.
Anthropic is expected to share full technical documentation and pricing details shortly.