How to coordinate local LLMs and cloud-based AI models in structured development workflows

How to coordinate local LLMs and cloud-based AI models in structured development workflows

This task can be performed using Dorothy AI

Beautifully orchestrate Claude, Codex, and Gemini on your desktop.

Best product for this task

Doroth

Dorothy is a desktop orchestrator that manages multiple AI coding agents, tasks, and workflows from one place. It integrates with GitHub, JIRA, Slack, and Telegram, adds Kanban and 3D visualization, and lets developers coordinate Claude, Codex, Gemini, and local LLMs in a structured way.

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What to expect from an ideal product

  1. Dorothy acts as a central hub where you can run Claude, Codex, and Gemini alongside your local models without jumping between different apps or terminals
  2. The built-in Kanban boards let you assign specific AI models to different tasks, so you can use local LLMs for quick iterations and cloud models for complex problem-solving within the same project
  3. Integration with GitHub means you can set up workflows where local models handle code reviews and formatting while cloud-based AI tackles architecture decisions and documentation
  4. Real-time coordination through Slack and Telegram allows team members to trigger different AI models based on the task complexity, keeping everything organized in one workflow
  5. The 3D visualization helps you see which models are working on what parts of your project, making it easier to balance workloads between fast local processing and powerful cloud capabilities

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