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 tool integration.
Generative artificial intelligence startup Writer Inc. has announced the launch of Action Agent, an autonomous AI super agent designed specifically for enterprise users. This AI agent 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.”
Action Agent is powered by Writer’s flagship adaptive reasoning large language model, Palmyra X5, released earlier in 2025. The agent can execute a wide range of tasks requiring problem solving, complex reasoning, and multi-tool integration. It operates within an isolated virtual computer spun up for each session and employs 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—they 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 if 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 agent supports a broad variety of tasks, including web interactions such as scraping data, clicking buttons, and extracting information. It can process both structured and unstructured data to perform complex calculations and generate visualizations like charts and graphs.
For developers, Action Agent can perform file system operations—creating, reading, writing, and deleting files—and can write, test, and debug code in multiple programming languages using system-level tools.
Action Agent features more than 600 connectors to tools, enabling secure processing of information from over 80 enterprise and third-party data platforms, including PitchBook and FactSet. Through a Model Context Protocol gateway, the agent can not only read data but also write, update, and trigger workflows across numerous systems or communicate with other AI agents.
For example, a user might ask 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, it backtracks, diagnoses the problem, and attempts to fix it.
Once the report is generated, users can query the agent for further questions, reformatting, or updates with additional information. The final report can be downloaded for manual editing or presentation.
Writer emphasizes that Action Agent operates with full transparency. The company’s agent supervision dashboard provides administrators, users, and developers with complete visibility and control over how agents access knowledge and tools. IT teams have fine-grained oversight over configurations and access control, ensuring enterprise-level security.
“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.”
Source: Originally published at SiliconANGLE on July 29, 2025.
Source: Originally published at SiliconANGLE on July 29, 2025.