Skalle
Don't just ask AI to write code. Ask it to build the network.
Turn intent into infrastructure. An AI interface that helps create, connect, and operate Real Time Web services using your preferred AI model.
Skalle is the AI interface to the Real Time Web.
Most AI assistants help you generate text, write code, or interact with existing applications. Skalle is designed for something different: creating and operating distributed services on the Real Time Web.
Skalle has been taught the principles, architecture, and developer tools behind RTW. Through a conversational interface, developers can describe what they want to build and let Skalle help translate that intent into network architecture.
Ask Skalle to create a service, expose a data source, connect existing services, configure access, or suggest how an application should be distributed, and Skalle can use the Synx toolchain to help construct it.
Imagine telling Skalle: "Create a service that receives live energy data from my buildings, combine it with weather data, give my optimization model access to it, and expose the resulting energy forecast to my application."
Instead of simply explaining how this could be programmed, the goal of Skalle is to help build and configure the actual RTW architecture: describe, discover, create, link, configure, run.
This changes the role of AI from a coding assistant into an infrastructure-building interface.
Skalle is built around Model Context Protocol (MCP) integration. That means the intelligence does not have to be tied to a single language model. Users can connect compatible AI environments and models while Skalle provides the specialized RTW knowledge and tools required to interact with the network.
Your preferred AI model provides the intelligence. Skalle provides the Real Time Web capabilities.
Skalle will be available directly inside Morph Space, where it becomes a conversational interface to the ecosystem. Instead of manually configuring every component, users can ask Skalle to help create Morph services, connect internal and external data sources, discover existing services, build linking architectures, configure ownership and access, suggest infrastructure for new applications, compose existing data and intelligence into new services, and deploy and administer RTW resources.
As the Morph Space ecosystem grows, Skalle can increasingly help users discover and combine capabilities that already exist rather than rebuilding everything from scratch.
Traditional AI coding assistants primarily operate around files, codebases, and APIs. Skalle is being designed around a different abstraction: the network itself.
It understands that an application can be assembled from distributed, independently owned resources: data, intelligence, machines, and services, connected through the Real Time Web. That makes Skalle particularly suited to a future where applications are not simply installed or hosted, but dynamically composed from live network resources.
The long-term goal is simple. A user should be able to describe what they want to achieve, while Skalle works with the Synx tools and the Real Time Web to determine how to connect the resources required to achieve it.
No single AI model has to own the ecosystem. No single cloud has to own the infrastructure. And the user remains in control of their services and data.
Skalle turns natural language into Real Time Web infrastructure.
Skalle is the AI co-pilot for the Real Time Web. You describe what you want, and Skalle carries out the authorized platform operations and reports the result.
Skalle is the AI co-pilot for the Real Time Web. It allows users to create, configure and operate Synx and Morph Space services simply by describing what they want in natural language. Instead of learning commands, protocols, APIs and administration interfaces, you can tell Skalle what you want to achieve: "Create a service on my domain, add two Ghosts, connect the data source and give Alex read access."
Skalle translates that intent into the required platform operations, executes the authorized actions and reports the result back to you. It can work with domains, Morphic Services, Ghosts, links, access rights, ownership and multi-step workflows. Skalle can be used through its own dashboard, embedded into partner applications, or connected to compatible AI tools through MCP. In simple terms, Skalle makes the Real Time Web as easy to operate as sending a message.
Most assistants answer or generate. Skalle is built to operate the Synx and Morph Space platform, inside an isolated session tied to your identity. External AI tools are read-only unless modification is explicitly enabled.
Most AI assistants are designed primarily to answer, explain or generate. Skalle is designed to operate. A general AI assistant might explain how to configure a network service or generate code for an API integration. Skalle can work directly with the Synx/Morph Space platform and perform authorized operations on behalf of the user. This is possible because Skalle is purpose-built around the Real Time Web architecture. It understands its domains, Morphic Services, Ghosts, links, ownership model and access-control mechanisms.
The difference can be summarized simply. A chatbot tells you how. A coding agent helps you build it. Skalle can operate the network. Skalle is also designed with security boundaries around these actions. Each user operates through an isolated AI session associated with their own identity and permissions. External AI tools are read-only by default. Operations that modify the network must be explicitly enabled and can require confirmation before execution, while access tokens automatically expire. This allows AI to become operational without simply giving it unrestricted control of the infrastructure.
Yes, within the permissions you grant. Skalle can turn one request into a sequence of network operations. It does not receive rights just because it asks for them.
Yes, within the permissions and controls granted by the user. Skalle can translate a high-level request into a sequence of Real Time Web operations and execute them as a workflow. For example, instead of manually performing several configuration steps, you could ask: "Create an energy service on my domain, add my building as a Ghost, connect it to the weather service and give my optimization service access to the resulting channel."
Skalle can determine the required platform operations and perform the authorized steps in sequence. It can create and update services, manage Ghosts, establish links, configure domains, manage access rights and execute multi-step or batch operations. This makes it possible to move from Prompt, to Plan, to Network Operations, to a Running Service. The objective is not autonomy without control. Skalle operates within the identity, ownership and permissions of the person or organization using it. Actions outside those permissions are not automatically granted simply because an AI requests them. This makes Skalle particularly useful for building autonomous systems: AI can automate the infrastructure while humans retain authority over it.
MCP lets compatible AI applications use the Real Time Web operations Skalle exposes. Your preferred model does the reasoning. Skalle provides the capabilities. It can also run as a Docker service with company SSO.
MCP (Model Context Protocol) provides a standardized way for compatible AI applications to connect to external tools and capabilities. Skalle uses MCP to expose Real Time Web operations to compatible AI environments. This means you do not necessarily have to use a particular language model or AI interface to work with Skalle. You can use Skalle from its own interface or connect compatible AI tools and development environments, including tools such as ChatGPT, Claude, Cursor or VS Code, and let them interact with the capabilities Skalle exposes.
This separation is important to our philosophy. Your preferred AI provides the reasoning. Skalle provides the Real Time Web capabilities. Synx provides the network infrastructure. The result is a model-independent approach that reduces dependency on any single AI vendor. For organizations that require greater control, Skalle can also be deployed as a Docker-based service and integrated with existing company authentication and SSO infrastructure.
You can ask for a single change or a whole workflow: services, Ghosts, links, access, ownership, and a look at what is connected now.
You can ask Skalle to perform individual operations or describe an entire workflow in natural language. For example: "Create a new service on my domain." "Add these three devices as Ghosts." "Show me everything currently connected to this service." "Give this user read access to my data channel." "Transfer ownership of this Ghost." "Connect my service to this external data source." "Show me which Ghosts are waiting for approval." Or you can describe something more complex: "Create a service for my building, connect the temperature and energy data, add an external weather source, and prepare a channel that my AI model can use for energy optimization."
Skalle can break the request into the necessary operations and execute the authorized workflow. It can help you create and update Morphic Services, create, remove and morph Ghosts, establish and manage links, manage domains and their resources, grant and revoke access, transfer ownership, approve ownership requests, perform batch and multi-step operations, inspect active connections and resources, and monitor the current state of your RTW environment.
And because Skalle can be exposed through MCP, these capabilities do not have to remain inside the Skalle interface. They can become tools available to other AI systems. That leads to the larger idea behind Skalle. You shouldn't have to learn how to operate the Real Time Web before you can build on it. Tell AI what you want to create, and let Skalle translate your intent into network operations.