July 30, 2025
5 min read
@SiliconANGLE
Writer unveils Action Agent, an autonomous AI super agent designed for complex enterprise tasks with deep research and multi-tool integration.
Generative artificial intelligence startup Writer Inc. has announced the launch of Action Agent, an autonomous AI agent designed for enterprise users that combines tool use, knowledge work, and deep research capabilities with enterprise-grade control and transparency.
“Other AI chatbots can tell you what to do. Action Agent does it,” said Writer co-founder and CEO May Habib. “It’s the difference between getting a research report and having your entire sales pipeline updated and acted upon.”
Powered by Writer’s flagship adaptive reasoning large language model, Palmyra X5, released earlier this year, Action Agent can perform a wide range of tasks requiring problem solving, complex reasoning, and multi-tool use. Each session runs in an isolated virtual computer environment with specialized enterprise-grade security and access controls.
“To build an agent capable of true autonomy, we had to rethink the entire operational paradigm,” said Chief Technology Officer Waseem AlShikh in a blog post.
AI agents like Action Agent represent a growing trend in the AI industry toward autonomous tools that do more than respond to queries. These agents methodically complete complex goals by breaking them down into step-by-step tasks.
Action Agent begins each task by writing its own scripts and tool calls, then executes them. It reflects on the success or failure of its actions and refines its approach as needed. “The real power of this system lies in its ability to self-correct,” AlShikh explained. “If a command fails, an API returns an error, or a web page doesn’t load correctly, Action Agent doesn’t just give up.”
The AI agent supports a broad variety of tasks, including web interaction for scraping data, clicking buttons, and extracting information. It can process both structured and unstructured data to perform complex calculations and generate visualizations such as charts and graphs.
For developers, Action Agent can perform file system operations like creating, reading, writing, and deleting files. It can also use system-level tools and write, test, and debug code in multiple programming languages.
Action Agent features over 600 connectors to tools, enabling it to securely process information from 80 different enterprise and third-party data platforms, including PitchBook and FactSet. Through a Model Context Protocol gateway, these connectors allow the agent not only to read data but also to write, update, and trigger workflows across numerous systems or communicate with other AI agents.
For example, a user could instruct Action Agent to run a product analysis. The agent would then execute a multistep plan to research and analyze customer reviews from across the web, perform sentiment analysis, identify recurring themes, and generate a presentation with findings. If any step fails, the agent backtracks, diagnoses the issue, and formulates a plan to fix it.
Once the report is generated, users can query the agent to ask questions, request reformatting, or update the report with additional information. The finalized report can be downloaded for manual editing or presentation.
Writer emphasizes that Action Agent operates with full transparency. Its agent supervision dashboard provides administrators, users, and developers with visibility and control over how agents access knowledge and tools. IT teams have fine-grained oversight for configurations and access control, ensuring enterprise-grade security.
“The companies that win won’t just adopt AI. They’ll restructure themselves around it,” Habib said. “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.”
Source: Writer releases autonomous AI 'super agent' for enterprise users on SiliconANGLE
Source: Writer releases autonomous AI 'super agent' for enterprise users on SiliconANGLE