Generative artificial intelligence startup Writer Inc. has announced the launch of Action Agent, a powerful autonomous AI agent designed specifically for enterprise users. This AI super agent integrates tool use, knowledge work, and deep research capabilities, all while providing enterprise-grade control and transparency. “Other AI chatbots can tell you what to do. Action Agent does it,” said Writer’s 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 use. It operates within an isolated virtual computer spun up for each session, relying on 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 necessary. “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 can perform a broad variety of tasks, including web interaction 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 manipulate the file system by 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 supports over 600 connectors to tools, enabling secure processing of information from 80 different enterprise and third-party data platforms, including PitchBook and FactSet. Using a Model Context Protocol gateway, these connectors allow the agent not only to read data but also to write, update, and trigger full workflows across numerous systems or communicate with other AI agents. For example, a user could request the agent to run a product analysis. Action Agent would then create 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 fails, the agent examines the problem, backtracks, and formulates a plan to fix it. Once the report is generated, users can query the agent to ask questions about it, reformat it, or update it with additional information. The final report can be downloaded for manual editing or presentation like any other document. Writer emphasizes that Action Agent operates with full visibility and control. Their agent supervision dashboard provides administrators, users, and builders with transparency over how agents access knowledge and tools. IT teams have fine-grained oversight over configurations and access controls, ensuring enterprise-level 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.”

Frequently Asked Questions (FAQ)

Action Agent Functionality

Q: What is Writer's Action Agent? A: Action Agent is an autonomous AI agent developed by Writer Inc. that is designed for enterprise users, capable of integrating tool use, knowledge work, and deep research to execute complex tasks. Q: How does Action Agent differ from other AI chatbots? A: Unlike typical AI chatbots that provide information or suggestions, Action Agent is designed to actively "do" tasks, such as updating an entire sales pipeline, rather than just telling a user what to do. Q: What powers Action Agent? A: Action Agent is powered by Writer's adaptive reasoning large language model, Palmyra X5. Q: What kind of tasks can Action Agent perform? A: Action Agent can perform a wide range of tasks requiring problem-solving, complex reasoning, and multi-tool use. This includes web interaction (scraping, clicking, data extraction), processing structured and unstructured data, generating visualizations, file system manipulation, and writing, testing, and debugging code. Q: How does Action Agent ensure task success and handle failures? A: Action Agent self-corrects by writing and executing its own scripts and tool calls. It reflects on the success or failure of its actions and refines its approach if necessary, meaning it doesn't simply give up if a command fails or an API returns an error. Q: How does Action Agent connect to enterprise tools and data? A: Action Agent supports over 600 connectors to various tools and enables secure processing of information from 80 different enterprise and third-party data platforms. It can read, write, update, and trigger workflows across systems and communicate with other AI agents via a Model Context Protocol gateway.

Enterprise Control and Security

Q: What security measures are in place for Action Agent? A: Action Agent operates within an isolated virtual computer spun up for each session, utilizing specialized enterprise-grade security and access controls. Writer also provides an agent supervision dashboard for administrators and users to monitor how agents access knowledge and tools, with IT teams having fine-grained oversight over configurations and access controls. Q: Can IT teams control Action Agent's access and configurations? A: Yes, IT teams have fine-grained oversight over configurations and access controls, ensuring enterprise-level security and transparency.

Use Cases and Benefits

Q: Can you provide an example of an Action Agent use case? A: A user could request a product analysis, and Action Agent would research customer reviews from across the web, perform sentiment analysis, identify themes, and generate a presentation. If any step fails, it can backtrack and fix the issue. Q: How does Action Agent contribute to business transformation? A: Writer views Action Agent as a new pillar in their platform, helping customers achieve the business transformation necessary to succeed in the evolving AI landscape by restructuring around AI capabilities.

Crypto Market AI's Take

The launch of Writer's Action Agent signifies a crucial evolution in enterprise AI, moving beyond simple query responses to proactive task execution. This aligns with the growing demand for AI solutions that can seamlessly integrate with existing business processes and data. At AI Crypto Market, we are deeply invested in the development of AI agents that can empower users in the financial sector, particularly in the dynamic world of cryptocurrency. Our own advancements in AI-driven trading bots and market analysis tools are built on similar principles of autonomous operation, complex reasoning, and secure data handling. We believe that the future of finance will be heavily shaped by these advanced AI agents, enabling more efficient, data-driven decision-making and automated operations. Exploring how such agents can interact with financial markets and provide actionable insights is a core focus of our platform. For more on how AI is transforming trading and market intelligence, you can explore our insights on AI Agents in Trading.

Writer releases autonomous AI 'super agent' for enterprise users

Action Agent Functionality

Enterprise Control and Security

Use Cases and Benefits

Crypto Market AI's Take

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