The MiroFlow workflow includes the following key steps:
- Intent Recognition and Query Enhancement: Analyze user input using large-scale language models to determine intent and enrich queries
- Planning and tasking: Master Intelligence develops the execution plan and coordinates the entire workflow
- Assignment to sub-intelligence: Master Intelligence can delegate complex tasks to specialized sub-intelligences
- Access to tools via MCP server: Utilize specialized tools through the Model Context Protocol (MCP) server when external functionality is required
- Result synthesis and output alignment: Specialized summary process synthesizes results to ensure output quality and user instruction compliance
This answer comes from the articleMiroFlow: a framework for building, managing and scaling AI intelligencesThe
May not be reproduced without permission:AI productivity tools " What are the key steps involved in MiroFlow's core workflow?
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