Video Summary
Anthropic released Claude Managed Agents: hosted, standardized AI agents for automations.
Demo: paste a sales call transcript and automatically create tasks in ClickUp.
Credentials are stored in a secure vault so users avoid manually handling API keys.
Anthropic hosts the agent implementation and provides detailed logs and debugging tools.
Dashboard includes usage/cost tracking and granular access logs; visual tooling is a missing piece.
Anthropic spins up and hosts a reusable server/container for each agent, removing the need for users to manage their own servers and implementation hosting while enforcing limited networking for safety.
Credentials are stored in Claude's vault, which lets you connect ClickUp without manually copying API keys; the vault also supports sharing across workspaces with access controls.
Yes — the dashboard provides end-to-end test runs, transcript and debug panels, and full raw API event logs so you can inspect each request and fix issues.
No-code platforms currently provide a visual layout that makes system structure immediately visible; managed agents are text/container-first and would benefit from a visual representation to match that clarity.
The platform aggregates usage and cost per workspace and agent, showing line-item spending (examples cited: a $2.40 test and a ~$24 monthly spend) so you can monitor and optimize expenses.
"Anthropic just released manage agents, which is their take on automating the process of automating processes."
Anthropic's new managed agents aim to streamline the automation process, making it easier for users to integrate AI-powered workflows into their daily routines.
Nick will demonstrate how managed agents work by building a simple demo flow that showcases its functionality in a real-world scenario.
"It's a system where you can basically just paste in a transcript after a sales call, and then it'll go into your project management tool."
Nick plans to construct a system that allows users to input transcripts from sales calls, automatically generating tasks in a project management tool like ClickUp or Notion.
By utilizing voice commands, users can quickly articulate their intentions for the agent, facilitating a more hands-free experience when setting up automations.
"What it'll do is it'll take this schema, the spec, and it'll turn it into my agent."
The process involves defining the agent's specifications and allowing Anthropic to handle the hosting of the implementation details.
This approach eliminates the need for manual server management, as Anthropic will spin up a dedicated server, ensuring safety and efficiency in executing tasks.
"What it's doing is saying, 'Hey, Nick, you're going to have to add some form of credential or information in order to do this.'"
To facilitate the ClickUp integration, users will need to provide credentials, which can be stored securely via a new vault within the platform.
The integration process is designed to be user-friendly, eliminating the challenges associated with manually handling API keys, a common barrier for automation enthusiasts.
"What I'm going to do is I'm going to click send and I'm just going to show you guys what happens."
Users can input a sample transcript and initiate a test run to observe how the agent operates in real-time, simplifying the debugging process.
The interface allows for easy access to logs and detailed information on API events, providing complete transparency throughout the automation process.
"We've even received true."
Once the tests are complete, the agent efficiently generates and populates tasks in ClickUp based on the user's dictated action items, achieving a seamless integration of AI and task management.
After verifying the successful execution of the run, users are prompted to determine the next steps to refine and enhance their automation further.
"What I want to do next is I want to spin up a front end and then I want to connect that front end little chat window directly to this agent."
Nick envisions creating a simple front-end application that allows team members to interact with the agent via a chat interface, enabling quick task generation from pasted transcripts.
This integration exemplifies the potential for managed agents to enhance collaboration and efficiency in project management environments through user-friendly AI interactions.
"I can feed into Claude code to set this up in 30 seconds."
The presenter demonstrates how to quickly set up a project using Claude code in a very short timeframe, suggesting that preparation (like having Netlify ready) is essential for efficiency.
While waiting for the initial prompt generation, they prepare additional elements to showcase the capabilities of the setup.
The approach involves using fast mode to expedite the creation of a front end, illustrating the speed with which Claude can generate a website.
"Now it's actually testing this alongside me, which is quite nice."
The video highlights the capability of Claude to generate a test transcript that verifies the functionality of the application being created.
The presenter actively interacts with the generated output, which extracts action items from a client review, showcasing Claude's practical integration with tools like ClickUp.
The ease with which tasks can be transformed into action items emphasizes the powerful automation features available in this setup.
"The managed agent section appears over here on platform.claw.com/workspaces/default."
In exploring the dashboard, various sections are highlighted, including agent configurations, analytics, and cloud code management.
Users see that they can easily navigate to installed agents, archive them, and interact with other features presented on the dashboard, establishing a user-friendly interface.
The distinction between the agent view and session view provides clarity on ongoing processes and configurations for each individual agent.
"They've done a really good job of disambiguating between serious business use cases and more open-ended integrations."
The presenter emphasizes the thoughtful design of Claude's interface, which effectively supports both professional and casual use cases.
Features such as the ability to filter conversations and analyze task-specific interactions reflect a commitment to enhancing user experience and operational efficiency.
The information architecture, which includes permissions and security management, illustrates a robust platform that caters to the needs of mid-market and enterprise users.
"The vault is their way to basically share credentials across organizations."
The vault feature of Claude is showcased as a secure method for managing and sharing API credentials within and across organizations.
This system enhances security protocols and contributes to a smoother development experience by enabling safe credential management.
Alongside analytical tools to track token usage, the vault plays a crucial role in maintaining oversight and cost management as agent activities increase.
“As you begin populating more usage and running this in both your own company and potentially other people's, you'll see all of that stuff calculated over here.”
The video highlights the capability of monitoring usage across different workspaces and managed agents, allowing users to assess their operational costs efficiently.
An example is given where $2.40 was spent on testing a combination of Sonnet and Opus, showcasing how costs can vary based on the tools used within the system.
The speaker notes that their total expenses for the previous month were around $24, primarily incurred during the middle of the month while working on client projects.
“You can go really deep into every single request you've made… this includes those managed agents.”
Viewers are informed about the existence of access logs which provide detailed insights into every request made by the user.
This feature is particularly beneficial for tracking the actions of managed agents, allowing for a comprehensive assessment of their performance and usage patterns.
“The main advantage that no-code drag-and-drop platforms have over something like cloud-managed agents right now is you can literally just open it up and see the way the system works visually.”
The speaker predicts that Anthropic will develop a visual component to accompany current communication tools, addressing the limitations posed by textual representations of system layouts.
Emphasizing the human brain's preference for visual information, the suggestion is made that a visual layout can simplify the understanding of complex systems and improve automation comprehension.
The comparison is drawn with no-code platforms, which allow users to see how components connect, making it easier to grasp system dynamics at a glance.
“The second that Anthropic cracks that, we will essentially have a full replacement for that sort of automation infrastructure.”
The speaker anticipates that once a visual representation is developed, managed infrastructure will be optimized for significantly better knowledge process automation.
They emphasize the shift needed from just using cloud and code to achieving a standardized infrastructure capable of automating tasks on a larger scale.
This advancement is seen as crucial for standardizing inputs and outputs in AI automation processes.
