Generative artificial intelligence startup Writer Inc. today announced the launch of Action Agent, a powerful AI agent that integrates tool use, knowledge work and deep research capabilities along with enterprise-grade control and transparency.
“Other AI chatbots can tell you what to do. Action Agent does it,” said co-founder and Chief Executive May Habib. “It’s the difference between getting a research report and having your entire sales pipeline updated and acted upon.”
Powered by the company’s flagship adaptive reasoning large language model Palmyra X5, released earlier this year, Action Agent can execute a large range of tasks that require problem solving, complex reasoning and multi-tool use. It exists in an isolated virtual computer that is spun up for every session and relies on specialized enterprise-grade security and access controls.
“To build an agent capable of true autonomy, we had to rethink the entire operational paradigm,” Chief Technology Officer Waseem AlShikh said in a blog post.
AI agents represent a trend in the AI industry towards providing autonomous tools that do more than simply respond to user queries. Agents are a type of AI software that can methodically complete complex goals by breaking them down into step-by-step tasks.
Action Agent starts each task by writing its own scripts and tool calls, then executes them. It then reflects on how its actions worked, if they succeeded or failed — or how well they approached its ultimate goal. If the agent discovers a failure or a better possible outcome, it refines its approach and tries again.
“The real power of this system lies in its ability to self-correct,” said AlShikh. “If a command fails, an API returns an error, or a web page doesn’t load correctly, Action Agent doesn’t just give up.”
Action Agent is capable of a broad variety of tasks, including web interaction that allows it to scrape data, click buttons and extract information. It can also process structured and unstructured data to perform complex calculations and generate visualizations, such as charts and graphs.
For developers, it can perform file system operations such as creating, reading, writing and deleting files. Additionally, it can use system-level tools and write, test, and debug code in multiple programming languages.
The AI agent features more than 600 connectors to tools, enabling it to securely process information from 80 different enterprise and third-party data platforms, including PitchBook and FactSet. Using a Model Context Protocol gateway, these connectors can allow the Action Agent to not only read data, but also write, update and trigger full workflows across numerous systems, or talk to other AI agents.
For example, a user could ask the agent to run a product analysis. The Action Agent would then begin a multistep plan to research, analyze and process customer reviews from across the web, perform sentiment analysis, identify recurring themes and generate a presentation with findings. If any step is interrupted or fails along the way, it will examine the problem, backtrack and formulate a plan to fix it.
Once the report is generated, the user can query the agent to ask questions about the report, have it reformatted or even updated with additional information. And once it’s perfected, the user can download it for manual editing or presentation just like any other report.
Additionally, the company emphasized that Action Agent does not perform this behavior in the dark. Writer’s agent supervision dashboard provides administrators, users and builders full visibility and control over how agents access knowledge and tools. Information technology teams also have fine-grained oversight over configurations and access control, giving them enterprise-level security at every turn.
“The companies that win won’t just adopt AI. They’ll restructure themselves around it,” said Habib. “Action Agent is more than a feature. It’s a new pillar in the foundation of our platform, helping our customers achieve the business transformation required to succeed in this new era.”
Image: Writer
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