Development of Autonomous AI Infrastructure Control System for RTX on Ubuntu
The project aims to create an autonomous AI Infrastructure Control System for RTX, utilizing OpenClaw Skill architecture and multi-LLM governance. The system will operate solely through Skills, generating and validating multiple solution strategies before execution, ensuring safety through a deterministic validation process. Key features include real-time dashboard integration, self-healing capabilities, and compatibility with Kestra, Codex CLI, and Xcode. The expected timeline for completion is 8-12 weeks with a budget of $800.
Theia Market Signal Identification - AI AssistedAn autonomous AI Infrastructure Control System is being developed for RTX on Ubuntu, remotely controlled from macOS. The system will operate entirely using Skills, generating three solution strategies that are validated through GPT and DeepSeek before execution.
It includes a governance-level real-time dashboard and integrates with Kestra, Codex CLI, and Xcode. Features include self-healing capabilities, persistent terminal control, and a multi-LLM consensus engine. The estimated completion timeline is 8-12 weeks, with a budget of $800.
Comments