Puzld.ai is a multi-LLM orchestration framework that enables agentic execution, memory, and training data generation. It benefits operations teams by automating complex workflows and integrating with AI agents like Claude. The framework connects to various LLMs and tools, streamlining business processes and enhancing productivity.
git clone https://github.com/MedChaouch/Puzld.ai.gitPuzld.ai is a multi-LLM orchestration framework that enables agentic execution, memory, and training data generation. It benefits operations teams by automating complex workflows and integrating with AI agents like Claude. The framework connects to various LLMs and tools, streamlining business processes and enhancing productivity.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/MedChaouch/Puzld.aiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a multi-LLM orchestrator. I need to process [DATA] for [COMPANY] in the [INDUSTRY] sector. Use your framework to determine the best LLM for each subtask, then execute the workflow. Provide a summary of the results and explain your reasoning for LLM selection.
# Multi-LLM Orchestration Results ## Task Breakdown - **Data Analysis**: Processed using LLM A (specialized in numerical data) - **Content Generation**: Handled by LLM B (expert in creative writing) - **Sentiment Analysis**: Executed by LLM C (optimized for emotional context) ## Summary The analysis revealed key trends in [DATA], with positive sentiment in 65% of customer feedback. The content generation task produced three engaging blog post drafts tailored to [INDUSTRY]. ## LLM Selection Rationale - **LLM A**: Chosen for its superior performance in numerical data interpretation - **LLM B**: Selected for its ability to generate creative and industry-specific content - **LLM C**: Optimal for sentiment analysis due to its advanced emotional context understanding
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