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    Home»Tech»Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents
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    Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents

    adminBy adminApril 8, 2026No Comments3 Mins Read
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    Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents
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    Anthropic announced Wednesday the launch of a new product that aims to make it easier for businesses to build and deploy AI agents. The tool, Claude Managed Agents, offers developers out-of-the-box infrastructure to build autonomous AI systems, simplifying a complex process that was previously a barrier to automating work tasks.

    The move positions Anthropic to capitalize on its rapidly growing enterprise business. On Tuesday, the company said that its annualized recurring revenue has surpassed $30 billion, roughly three times higher than it was in December 2025. Both Anthropic and OpenAI, which also has an agent platform called Frontier, are racing to build out robust enterprise offerings as they prepare to go public as soon as this year.

    The majority of Anthropic’s recent revenue growth has come from Claude Platform, an enterprise product that allows developers to tap into the company’s AI models through an API, according to Anthropic’s head of product for the Claude Platform, Angela Jiang. Developers have been using Anthropic’s API to deploy AI agents, such as Claude Code, in their workspace.

    Jiang argues there’s a notable gap between what Anthropic’s models are capable of and what businesses are using them for. The new tool “enables any business to take the best-in-class infrastructure and deploy a fleet of Claude agents to do whatever work they need,” says Jiang.

    Managed Agents will give developers an agent harness, which describes all of the software infrastructure that wraps around an AI model to help it work agentically, or take actions on behalf of a user. In practice, a harness is made up of software tools, a memory system, and other infrastructure. Agents made through Claude Managed Agent will also come with a built-in sandboxed environment, in which the agent can spin up software projects in a secure setting. The product also allows developers to create agents that can run autonomously for hours in the cloud, monitor what other Claude agents are doing, and toggle permissions that allow agents to access certain tools.

    “When it comes to actually deploying and running agents at scale, that is a complex distributed-systems engineering problem,” says Katelyn Lesse, head of engineering for the Claude Platform. “A lot of customers we’re talking about previously had a whole bunch of engineers whose job it would have been to build and run those systems at scale. Now that we are giving them that bit out of the box, they’re able to have those same engineers be focused on the core competencies of their business and of their product.”

    In a demo shared with WIRED, the AI productivity startup Notion showed how it’s using Managed Agents to power a client onboarding feature. Eric Liu, a Notion product manager, demoed how he could off-load a long list of tasks within Notion to a Claude Managed Agent, which was able to start ticking off client onboarding tasks one by one. The product in the demo runs in Notion, but Liu opened a dashboard on the Claude Platform and looked at how the agents were working and what tools they were using.

    Wall Street investors have grown wary of software stocks in recent months as Anthropic has released a wide range of enterprise offerings, which some believe could make traditional software-as-a-service companies obsolete. Whether that threat materializes or not, Managed Agents makes clear that Anthropic still has significant ground to cover before most enterprises are fully running on Claude.

    Business,Business / Artificial Intelligence,Claude Launchanthropic,models,agentic ai,silicon valley,startups,enterprise#Anthropics #Product #Aims #Handle #Hard #Part #Building #Agents1775667939

    agentic ai Agents aims Anthropic Anthropics building Enterprise Handle Hard models part product silicon valley startups
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