KIO Co-Pilot is a CoreMedia Studio plugin that allows access to AI-based services within a copilot-style chat UI.
Introduction to KIO Co-Pilot
Last updated 16 minutes ago
Start with an overview of CoreMedia KIO Co-Pilot
Table of Contents
Welcome to the CoreMedia KIO Co-Pilot documentation! In this introduction, you can begin with a high-level look at CoreMedia’s AI integration. It’s called KIO Co-Pilot and is available in CoreMedia Studio as a copilot-style chat UI.
Prerequisites
To use CoreMedia KIO Co-Pilot, you must meet the following requirements:
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CMCC v.12.2406.1.1 and higher
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CMCC v.12.2412.0.1 and higher
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CoreMedia License with KIO Co-Pilot enabled
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Please note that the responses generated by KIO may vary even when similar or identical prompts are used. This variability is due to the probabilistic nature of the underlying AI model and system-level parameters such as temperature, which influence how deterministic or creative the output is. As a result, outputs can be affected by subtle differences in context, phrasing, prior interactions within a session, or system configuration. While KIO is designed to provide helpful and coherent content, we cannot guarantee consistent or repeatable results for every prompt. Users are encouraged to review and edit all KIO-generated content to ensure it meets their editorial standards and intended messaging. |
Description of KIO Co-Pilot
In the bottom right corner of CoreMedia Studio, you will find the round KIO icon, which opens KIO Co-Pilot.
AI-Based Services Integration
KIO communicates with a KIO backend, which in turn interacts with a Large Language Model (LLM) while the chat component in CoreMedia Studio allows users to seamlessly interact with the AI services.
This integration is designed to deliver a better user experience by providing AI-driven assistance and automation within the Studio environment.
Dockerized and Customizable KIO Backend
CoreMedia provides a Docker image for the KIO backend, which starts a Spring AI-based application. This backend application includes several preconfigured tools that enable access to CoreMedia Content Cloud (for example, reading and modifying content).
You can customize the Docker image to fit specific needs. Configurations for CMS access or the desired LLM.
Prompt engineers can create Playbooks for complex, recurring tasks, which can be easily used through prompting. See Playbooks for more information.
CoreMedia DXP Integration
The KIO backend requires connections to be set up and configured for your CoreMedia Content Cloud (CMCC) installation (Content Server, Studio Server). These connections enable the backend to interact with the CMCC components for various operations.
Moreover, an integration into CoreMedia Experience Cloud (CMEC) can also be configured.
Use Cases for KIO Co-Pilot
In the following, we list use cases that demonstrate how KIO can enhance content management by leveraging AI to automate tasks, improve content quality, and provide personalized experiences.
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Automated Content Generation
Use AI to generate content drafts based on specific topics or keywords, saving time for content creators.
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Content Editing and Proofreading
Utilize AI to proofread and edit content, ensuring grammatical accuracy and consistency in tone and style.
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Metadata Tagging
Automatically tag content with relevant metadata, improving the discoverability and organization within your content repository.
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SEO Optimization
Analyze and optimize content for search engines, suggesting improvements for better visibility and ranking.
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Content Translation
Translate content into multiple languages using AI, facilitating global reach and accessibility.
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Content Summarization
Generate concise summaries of long articles or documents, making it easier for users to grasp key points quickly.
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Out of Scope: KIO Co-Pilot cannot perform large batch operations, such as big content migrations, that can run for extended time periods, e.g., hours, days etc. |
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