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Kseniia Zviagintceva and Puneet Shetty demonstrate the Solona Orion Playground, an agentic AI platform designed to transform network operations. By connecting a Cloud AI assistant (such as Claude, OpenAI, or Copilot) to Celona’s Model Context Protocol (MCP) server, users can access deep networking databases, logs, and time-series data far beyond what is available in standard management interfaces. This allows for the generation of highly customized reports and the execution of complex troubleshooting tasks through simple conversational prompts, effectively augmenting the capabilities of network engineers by providing granular, long-term data visibility and automated root cause analysis.
The demonstration highlights two primary use cases: on-demand reporting and automated troubleshooting. In the reporting example, Zviagintceva shows how the AI can generate multi-month network overview reports with specific visualizations–like eSIM usage per site–that currently do not exist in the standard Orchestrator UI. For troubleshooting, the system identifies a connection error on a smartphone by calling upon various “skills” to check access point health, core status, and SAS grants. Instead of a manual process involving multiple support tiers, the AI identifies an IP allocation failure and, with user approval, restores connectivity by restarting a service on the Kubernetes-based core, all within minutes.
Celona’s approach focuses on a “Build Your Own Agent” (BYOA) philosophy, moving away from static, “one-size-fits-all” dashboards. While Celona will provide a set of pre-defined sample agents and skills in its “playground,” the platform is designed to be hardware and LLM agnostic, allowing customers to use their preferred AI models and develop proprietary automation. Access is secured through API keys tied to existing Role-Based Access Control (RBAC), ensuring data privacy and restricted action permissions. This initiative empowers network engineers to solve custom problems and participate in “hackathons,” shifting network management from a rigid development cycle to a dynamic, community-driven ecosystem.
Personnel: Kseniia Zvaigintceva, Puneet Shetty
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