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March 17, 2026

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Deployables.ai

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Overview

Deployables is a platform that lets you deploy artificial intelligence (AI) agents on various operating systems including Linux, Windows, and Mac. It enables the management of a dedicated infrastructure that can operate from completely headless Linux automation to controlling a full desktop on Windows and Mac.

Deployables provides a live view where users can real-time monitor their agents at work. The platforms offer complete visibility, eliminating the 'black box' scenario often associated with AI agents.

Users can see the actions of their agents ranging from browsing websites, writing emails, filling out forms, to navigating applications. The platform offers persistent memory where each agent retains a history of its past actions, providing consistency and continuity across different conversations and channels.

Besides, Deployables provides pay-per-use billing, enabling customers to pay for the activities of agents instead of a seat license. The platform is complete with robust governance that enforces user-defined rules.

Deployables also offers voice-calling features, driven by Bland AI, enabling AI agents to not only text but also participate in real telephone conversations.

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March 17, 2026

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Pros and Cons

Pros

Multi-OS compatibility

Real-time task execution

Automation of multiple tasks

Headless Linux automation

Full desktop control (Windows, Mac)

Real-time agent workflows viewable

Dedicated infrastructure for every agent

Agent functionality across different channels

Using OpenClaw for Linux tasks

Planned full-desktop control with Claude

Comprehensive audit log trail

Detailed task history

Call transcripts available

Specific agent control capabilities

Transparent pay-per-use billing

Capability of carrying voice calls

Eliminates 'black box' scenario

Persistent memory for agent tasks

Live view of agent actions

Provision for user-defined rules

Automated form filling

Automated email drafting

Automated application navigation

Real-time employee monitoring

On-demand deployment

24/7 operations

Pay only for agent activities

Disposable seat licenses

Receptionist with phone capabilities

Multi-platform communication (Telegram, Slack, etc.)

Web browsing automation

Detailed call transcripts

Active agent task tracking

Individual agent spending tracking

Real-time cost management

Implement daily spending limits

Automatic pause on budget overrun

Detailed agent information provided

Limitless multi-agent coordination

Inbound/Outbound call handling by agents

Customizable phone number for agent

Strict control over call activities

Quick and easy hiring process

Eliminated traditional hiring steps

Distinct agent roles

Shared memory between agents

View 41 more pros

Cons

No free trial

High cost

Potential privacy concerns

Limited server availability

Deployment errors possible

No-infrastructure customisation

Limited OS compatibility

Dependent on OpenClaw

Mandatory Google sign-in

View 4 more cons

Q&A

What OS platforms does Deployables support?

Deployables supports Linux, Windows, and Mac OS platforms.

How does the AI agent execution work in Deployables?

In Deployables, the AI agent execution works on dedicated infrastructure rather than a shared sandbox. Each agent has a unique identity and can access necessary tools and multi-channel functionality to carry out tasks assigned to it. This persistent execution capability enables the AI employees to run 24/7, and work overnight, on weekends, and while the user sleeps.

What is OpenClaw and how is it connected to Deployables?

OpenClaw is an open-source agent framework that is used by Deployables for Linux agents to perform a range of tasks. OpenClaw is an integral part of Deployables as it powers AI agents to carry out tasks such as query handling, app navigation, making outbound and API calls.

What are the capabilities of standard agents on Deployables?

Standard agents on Deployables can perform a multitude of tasks across different channels. These tasks include answering queries, navigating through applications, making outbound calls, creating API calls, and more. They are functional across a variety of environments, extending from headless Linux automation to full desktop control on Windows and Mac OS.

What is the AI receptionist feature in Deployables?

The AI receptionist feature in Deployables enables the AI agent to take messages, book appointments, route to the right person, and make and receive calls. This feature is designed to provide seamless communication support for businesses.

How can I monitor the tasks performed by the AI agents in Deployables?

Deployables provides businesses with the aspect of observability. It allows users to watch their deployed agents work in real-time and ensures transparency through comprehensive audit log trails, task history, and call transcripts.

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What agent control measures are available in Deployables?

Deployables offers various agent control measures such as approved contact lists, call limits, real-time cost tracking, and daily spending limits. These measures provide users with the ability to maintain control over agent activities and regulate costs.

How can Deployables help in automating my business tasks?

Deployables can automate a range of business tasks. From navigating apps, sending emails, and browsing the web, to more complex tasks such as answering queries, making outbound calls, and creating API calls. Deployables also introduces an AI receptionist feature for taking messages, booking appointments, and handling calls.

What operating systems can Deployables fully control?

Deployables can fully control Windows and Mac operating systems, ranging from navigating and controlling desktop applications to performing complex, OS-level tasks.

How is an agent's unique identity managed in Deployables?

Each AI agent in Deployables runs on its own dedicated infrastructure, not a shared sandbox, which ensures that each agent maintains a unique identity. This unique identity allows the agent to have a history of all their actions and context that carries across every conversation and channel.

How does Deployables handle API calls?

Agents in Deployables can create API calls as part of their assigned tasks. This enables them to integrate with various systems and services, thereby extending their functionality and capability for automation.

What is Claude's computing capabilities in Deployables?

Claude's computing capabilities in Deployables refer to the planned future deployments for Windows and Mac. The blend of Claude's computing capabilities with Cursor is meant to provide full-fledged desktop access and control.

How can I track costs in real-time with Deployables?

Deployables provides real-time cost tracking feature. Users can monitor their spending in real-time directly from the dashboard. This allows users to have an accurate understanding of their spend on AI operations at any given moment.

How does Deployables enforce daily spending limits?

Deployables enforces daily spending limits by automatically pausing the agent when the budget runs out. This feature serves as a cost control measure to ensure users don't spend more than their allocated budget.

What functionality does Cursor Desktop Access provide in Deployables?

Cursor Desktop Access, in the context of Deployables, is mentioned as a planned enhancement for future deployments for Windows and Mac systems. While the exact functionality is not detailed, it's projected to contribute towards comprehensive desktop access and control.

What is the role of the Linux OpenClaw framework in Deployables?

Linux agents in Deployables use the open-source agent framework, OpenClaw, to perform tasks. This involves tasks such as answering queries, navigating apps, and making outbound or creating API calls.

How can I deploy AI employees with Deployables?

With Deployables, you can deploy AI employees simply and quickly. You just need to connect your channels and deploy the chosen brain for the operation. You can watch the AI employees work in real-time and they are automatically scaled to meet your enterprise's needs.

What audit trails does Deployables offer?

Deployables provides a comprehensive audit trail, ensuring transparency of all actions taken by AI agents. The audit logs detail all actions taken by the agent, providing transparency and accountability for task execution, call transcripts, and task history.

Can I use Deployables to schedule appointments and handle calls?

Yes, you can use Deployables to schedule appointments, make and receive calls. These are part of the AI receptionist feature that Deployables offers, where an AI agent simulates receptionist functions like taking messages, booking appointments, and routing to the right person, along with making and receiving calls.

What type of transparency is provided by Deployables?

Transparency is a key feature of Deployables. Users can watch their AI agents work in real-time, ensuring complete visibility into agent activities. Furthermore, comprehensive audit log trails, task history, and call transcripts are provided to promote transparency and accountability in everything that the AI agents do.

What operating systems does Deployables support?

Deployables supports Linux, Windows, and Mac operating systems.

How do Deployables agents work in real-time?

Deployables agents work in real-time by executing tasks such as navigating applications, sending emails, browsing the web, handling queries and making API calls. Users can view the live operations of these agents, eliminating the 'black box' scenario often associated with AI, for complete transparency and observation.

Does each Deployables agent have its own infrastructure?

Yes, each Deployables agent runs on its own dedicated infrastructure, as opposed to a shared sandbox. This ensures each agent has a unique identity and can perform optimally.

What tasks can Deployables agents perform?

Deployables agents can perform a multitude of tasks. These tasks include answering queries, clicking through applications, making outbound calls, creating API calls, web browsing automation, form filling automation, application navigation automation and more. Future deployments for Windows and Mac are planned to also enable full desktop access and control.

What is OpenClaw in relation to Deployables?

OpenClaw is an open-source agent framework that Deployables uses for Linux agents to perform tasks.

Are Deployables agents capable of making outbound calls?

Yes, Deployables agents are capable of making outbound calls as part of their task execution responsibilities.

What control measures are in place for Deployables agents?

Deployables agents are subject to control measures such as approved contact lists, call limits, real-time cost tracking, and daily spending limits. These governance tools help regulate the operations and spending of each agent.

What is the AI receptionist feature in Deployables?

The AI receptionist feature in Deployables allows the AI agents to take messages, book appointments, route calls to the appropriate person and make as well receive calls autonomously.

What is the timescale of Deployables AI employee deployment?

Deployables allows AI employees to be deployed and start working in approximately two minutes. The platform is designed for a quick and efficient deployment of AI agents.

What transparency does the Deployables platform offer?

Deployables offers transparency through a comprehensive live monitoring system and a complete record of agent activities. Users can view their agents' real-time actions such as browsing websites, writing emails, filling out forms, and navigating applications. The platform also maintains a comprehensive audit log trail, task history, and call transcripts.

How does the pay-per-use billing system in Deployables work?

The pay-per-use billing system in Deployables allows customers to pay only for the activities of the agents rather than a seat license. It provides the users the flexibility to only pay for what the agents do.

Does Deployables support voice-calling feature?

Yes, Deployables does support voice-calling features. This is made possible by integrating with Bland AI.

What is the role of Bland AI in Deployables?

Bland AI powers the voice-calling feature in Deployables, which allows the AI agents to engage in real telephone conversations.

Can Deployables agents participate in real telephone conversations?

Yes, the AI agents in Deployables can participate in real telephone conversations, via the integration with Bland AI.

How does Deployables ensure the continuity of agent's actions?

Deployables ensures the continuity of an agent's actions through a feature called persistent memory. Each agent retains a history of its past actions, providing consistency and continuity across different conversations and channels.

How does the Deployables live view function work?

The live view function in Deployables allows users to monitor their AI agents at work in real time, directly from the user's dashboard. Users can view their AI agents as they perform tasks such as browsing websites, composing emails, filling out forms, and navigating through workflows.

What is the role of Claude's computing capabilities in Deployables?

In the planned future deployments for Windows and Mac, Claude's computing capabilities will be utilized to provide robust power to the agents and ensure optimal operations.

What is the role of Cursor in Deployables in relation to accessing Windows and Mac?

In relation to accessing Windows and Mac, Cursor will be used alongside Claude's computing capabilities in future deployments for full-fledged desktop access and control.

What audit logs does Deployables provide to ensure transparency?

Deployables provides comprehensive audit logs in addition to task history and call transcripts. This ensures transparency and trust, and eliminates the common 'black box' issue associated with AI operations.

Can Deployables manage full desktops on Windows and Mac?

Yes, Deployables is capable of managing full desktops on Windows and Mac as part of their future deployment plans. The platform aims at extending from headless automation to full desktop control across different operating systems.

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